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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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DIALIGN Resource Report Resource Website 10+ mentions |
DIALIGN (RRID:SCR_003041) | DIALIGN | production service resource, data analysis service, web service, analysis service resource, data access protocol, service resource, software resource | Tool for multiple sequence alignment using various sources of external information that is particularly useful to detect local homologies in sequences with low overall similarity. While standard alignment methods rely on comparing single residues and imposing gap penalties, DIALIGN constructs pairwise and multiple alignments by comparing entire segments of the sequences. No gap penalty is used. This approach can be used for both global and local alignment, but it is particularly successful in situations where sequences share only local homologies. Several versions of DIALIGN are available online at GOBICS, http://dialign.gobics.de/ | dna, protein, sequence alignment, sequence, alignment, fasta, genome, genomic sequence, homology, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Bielefeld University; North Rhine-Westphalia; Germany |
PMID:15215344 PMID:23620293 DOI:10.1186/1748-7188-3-6 |
Free, Available for download, Freely available | nif-0000-30417, OMICS_24606, OMICS_00973, biotools:dialign-tx | http://dialign.gobics.de/, https://bio.tools/dialign-tx | https://sources.debian.org/src/dialign-tx/ | SCR_003041 | DIALIGN at GOBICS | 2026-08-03 09:32:08 | 43 | ||||
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PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | narrative resource, data or information resource, database, standard specification | A SuperFamily classification system, with rules for functional site and protein name, to facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors. The PIRSF concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships. The PIRSF classification system is based on whole proteins rather than on the component domains; therefore, it allows annotation of generic biochemical and specific biological functions, as well as classification of proteins without well-defined domains. There are different PIRSF classification levels. The primary level is the homeomorphic family, whose members are both homologous (evolved from a common ancestor) and homeomorphic (sharing full-length sequence similarity and a common domain architecture). At a lower level are the subfamilies which are clusters representing functional specialization and/or domain architecture variation within the family. Above the homeomorphic level there may be parent superfamilies that connect distantly related families and orphan proteins based on common domains. Because proteins can belong to more than one domain superfamily, the PIRSF structure is formally a network. The FTP site provides free download for PIRSF. | protein annotation, classification, protein, superfamily, functional site, protein name, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: UniProtKB has parent organization: Protein Information Resource |
NHGRI U01-HG02712; NSF DBI-0138188; NSF ITR-0205470 |
PMID:19455212 PMID:14681371 |
Free, Freely available | biotools:pirsf, nif-0000-03294, OMICS_01697 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-08-03 09:32:14 | 28 | |||
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MedScan Resource Report Resource Website 10+ mentions |
MedScan (RRID:SCR_003314) | data acquisition software, software resource, software application, data processing software | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. MedScan is a fast and flexible biomedical information extraction technology. It uses dictionaries to identify individual biomedical terms (proteins, cellular processes, small molecules, diseases, etc) referred to in literature articles, and applies advanced natural language processing techniques to detect the relationships within the article and extract these terms and the relationships; the overall process of detection, identification, extraction and assembling, is termed Information Harvesting. Information extracted by MedScan represents the multiple aspects of protein function, including protein modification, cellular localization, protein-protein interactions, gene expression regulation, molecular transport and synthesis, as well as association with diseases, and regulation of various cellular processes. This scope can be broadened by modifying information extraction rules and the dictionaries. Dictionaries can be assembled on any topic or area that is represented in the literature you wish to harvest. High-throughput data generation methodologies like microarray gene expression require new approaches for gathering information for data analysis. For the best results, computational approaches used for high-throughput data analysis require that biological information from the literature be a coherent and integrated part of the analysis software itself. Pathway Studio meets this challenge through its MedScan Technology and underlying ResNet database. All editions of Pathway Studio contain MedScan Technology to harvest information from the literature and to save this information in the Pathway Studio ResNet database ready for data analysis. MedScan is more than a web search engine. Indeed, the output of a Google search can be channeled into MedScan for example. Web searches, like Google, are excellent at finding items as a result of a query. A quick look at the output list usually locates the item for which you are looking. This approach however, is not well suited for information and knowledge gathering. Also, once information is gathered, where do you put it for later computational use? MedScan meets this challenge for the area of biomedical literature and biomedical online information. PubMed meets the needs for a central repository of biomedical literature. Researchers can go to PubMed and search for any topic and articles of interest, much like a web type of search. However, just like a web type of search, PubMed also provides a list of all the hits with a link to the articles. If a single article, or even just a few, are sought, this search approach is useful. Alternatively, MedScan will list all the articles of interest but additionally scans the text for relationships, highlights these relationships in the articles and then lists these relationships and the biological molecules and processes involved in the relationships in separate tables. The tables of relationships can be viewed graphically in Pathway Studio and can be saved into the ResNet database for use in experimental data analysis. | expression, function, article, biological, biomedical, cellular, dictionary, disease, information, literature, localization, medline interfaces, modification, molecule, process, protein, regulation, synthesis, technology, term, transport, FASEB list | PMID:15033866 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21259 | http://www.ariadnegenomics.com/products/medscan/reader/ | SCR_003314 | MedScan | 2026-08-03 09:32:04 | 37 | |||||||
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NLSdb: a database of nuclear localization signals Resource Report Resource Website 1+ mentions |
NLSdb: a database of nuclear localization signals (RRID:SCR_003273) | NLSdb | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | A database of nuclear localization signals (NLSs) and of nuclear proteins targeted to the nucleus by NLS motifs. NLSs are short stretches of residues mediating transport of nuclear proteins into the nucleus. The database contains 114 experimentally determined NLSs that were obtained through an extensive literature search. Using "in silico mutagenesis" this set was extended to 308 experimental and potential NLSs. This final set matched over 43% of all known nuclear proteins and matches no currently known non-nuclear protein. NLSdb contains over 6000 predicted nuclear proteins and their targeting signals from the PDB and SWISS-PROT/TrEMBL databases. The database also contains over 12 500 predicted nuclear proteins from six entirely sequenced eukaryotic proteomes (Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Arabidopsis thaliana and Saccharomyces cerevisiae). NLS motifs often co-localize with DNA-binding regions. This observation was used to also annotate over 1500 DNA-binding proteins. From this site you can: * Query NLSdb * Find out how to use NLSdb * Browse the entries in NLSdb * Find out if your protein has an NLS using PredictNLS * Predict subcellular localization of your protein using LOCtree | nuclear localization signal, nuclear protein, nucleus, motif, predict, protein | has parent organization: Columbia University; New York; USA | NIGMS 1-P50-GM62413-01; NSF DBI-0131168 |
PMID:12520032 | Free for academic use, Acknowledgement requested, All others should inquire about a commercial license | nif-0000-03191 | http://cubic.bioc.columbia.edu/db/NLSdb/ | SCR_003273 | NLSdb - a database of nuclear localization signals | 2026-08-03 09:32:02 | 4 | ||||
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Biological Biochemical Image Database Resource Report Resource Website 10+ mentions |
Biological Biochemical Image Database (RRID:SCR_003474) | BBID | image collection, data repository, data or information resource, database, image repository, storage service resource, service resource | Database of images of putative biological pathways, macromolecular structures, gene families, and cellular relationships. It is of use to those who are working with large sets of genes or proteins using cDNA arrays, functional genomics, or proteomics. The rationale for this collection is that: # Except in a few cases, information on most biological pathways in higher eukaryotes is non-existent, incomplete, or conflicting. # Similar biological pathways differ by tissue context, developmental stages, stimulatory events, or for other complex reasons. This database allows comparisons of different variations of pathways that can be tested empirically. # The goal of this database is to use images created directly by biomedical scientists who are specialists in a particular biological system. It is specifically designed to NOT use average, idealized or redrawn pathways. It does NOT use pathways defined by computer algorithm or information search approaches. # Information on biological pathways in higher eukaryotes generally resides in the images and text of review papers. Much of this information is not easily accessible by current medical reference search engines. # All images are attributable to the original authors. All pathways or other biological systems described are graphic representations of natural systems. Each pathway is to be considered a work in progress. Each carries some degree of error or incompleteness. The end user has the ultimate responsibility to determine the scientific correctness and validity in their particular biological system. Image/pathway submissions are welcome. | eukaryota, gene, gene family, biochemical, biological role, cdna, cdna array, cellular relationship, genomics, macromolecule, protein, proteomics, image, pathway, structure, annotation, cell, macromolecular structure, protein, functional genomics, proteomics | has parent organization: Intramural Research Program | NIH Blueprint for Neuroscience Research | PMID:11099263 | IMAGES MAY NOT BE USED WITHOUT BOTH THE WRITTEN PERMISSION FROM THE ORIGINAL PUBLISHER AND THE BBID DATABASE ADMINISTRATOR., The community can contribute to this resource | nif-0000-00205 | http://bbid.grc.nia.nih.gov/ | SCR_003474 | BBID-Biological Biochemical Image Database | 2026-08-03 09:32:08 | 11 | ||||
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DTU Center for Biological Sequence Analysis Resource Report Resource Website 1000+ mentions |
DTU Center for Biological Sequence Analysis (RRID:SCR_003590) | CBS, DTU CBS | production service resource, web service, analysis service resource, data access protocol, service resource, software resource | Center for Biological Sequence Analysis of the Technical University of Denmark conducts basic research in the field of bioinformatics and systems biology and directs its research primarily towards topics related to the elucidation of the functional aspects of complex biological mechanisms. A large number of computational methods have been produced, which are offered to others via WWW servers. Several data sets are also available. The center also has experimental efforts in gene expression analysis using DNA chips and data generation in relation to the physical and structural properties of DNA. The on-line prediction services at CBS are available as interactive input forms. Most of the servers are also available as stand-alone software packages with the same functionality. In addition, for some servers, programmatic access is provided in the form of SOAP-based Web Services. The center also educates engineering students in biotechnology and systems biology and offers a wide range of courses in bioinformatics, systems biology, human health, microbiology and nutrigenomics. | nucleotide, sequence, amino acid, dna, microarray, molecule, immunology, protein function, protein structure, protein, post-translational, whole genome, sequence analysis |
has parent organization: Technical University of Denmark; Lyngby; Denmark is parent organization of: NESbase is parent organization of: O-GLYCBASE is parent organization of: OligoWiz is parent organization of: SignalP |
Danish National Research Foundation ; Danish Research Councils ; Danish Center for Scientific Computing ; Villum Kann Rasmussen Foundation ; Novo Nordisk Foundation ; European Union ; NIH |
nlx_12329 | http://www.cbs.dtu.dk/index.shtml | SCR_003590 | 2026-08-03 09:32:11 | 1434 | |||||||
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Proteomics Identifications (PRIDE) Resource Report Resource Website 500+ mentions |
Proteomics Identifications (PRIDE) (RRID:SCR_003411) | PRIDE | data repository, data or information resource, database, storage service resource, service resource | Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester. | proteomics, protein, peptide, mass spectrometry, annotation, standard, spectra, protein-protein interaction, amino acid, amino acid sequence, post-translational modification, biomart, bio.tools |
is used by: ProteomeXchange is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is listed by: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: HUPO Proteomics Standards Initiative is related to: ProteomeXchange has parent organization: European Bioinformatics Institute |
Wellcome Trust WT085949MA; European Union FP7 LSHG-CT-2006-036814; European Union FP7 260558; European Union FP7 262067; European Union FP7 202272; BBSRC BB/I024204/1 |
PMID:23203882 PMID:19662629 |
Free, Available for download, Freely available | nif-0000-03336, biotools:pride, r3d100011515 | https://www.ebi.ac.uk/pride/archive/, https://bio.tools/pride, https://doi.org/10.17616/R3F330 | SCR_003411 | PRoteomics IDEntifications database, PRIDE Archive - proteomics data repository, PRIDE Archive, PRIDE, Proteomics Identifications, Proteomics Identifications (PRIDE), PRoteomics IDEntifications database (PRIDE) | 2026-08-03 09:32:07 | 642 | ||||
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Honig Lab Resource Report Resource Website |
Honig Lab (RRID:SCR_003410) | Honig Lab | organization portal, laboratory portal, portal, production service resource, data analysis service, service resource, database, analysis service resource, data or information resource, software resource, data set | Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules. | electrostatic, function, adhesion, analysis, biological, biophysical, cell, dna, interaction, macromolecule, membrane, nucleic acid, protein, rna, sequence, specificity, structural, structure, protein structure, protein, protein-protein interaction, protein-nucleic acid interaction, protein-membrane interaction |
is listed by: Biositemaps has parent organization: Columbia University; New York; USA |
nif-0000-33026 | SCR_003410 | Honig Laboratory | 2026-08-03 09:32:22 | 0 | ||||||||
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Reactome Resource Report Resource Website 1000+ mentions |
Reactome (RRID:SCR_003485) | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Collection of pathways and pathway annotations. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways (signaling, innate and acquired immune function, transcriptional regulation, translation, apoptosis and classical intermediary metabolism) . Provides website to navigate pathway knowledge and a suite of data analysis tools to support the pathway-based analysis of complex experimental and computational data sets. | pathway, interaction, reaction, nucleic acid, protein, complex, small molecule, signaling pathway, immune function, transcriptional regulation, translation, apoptosis, metabolism, ortholog, visualization, protein-protein interaction, web service, book, biomart, gold standard, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: DisGeNET is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: WikiPathways is related to: Pathway Commons is related to: ConsensusPathDB is related to: FlyMine is related to: AmiGO is related to: PSICQUIC Registry is related to: Integrated Molecular Interaction Database is related to: NCBI BioSystems Database is related to: MOPED - Model Organism Protein Expression Database is related to: KOBAS is related to: PSICQUIC Registry is related to: Pathway Interaction Database is related to: hiPathDB - human integrated Pathway DB with facile visualization is related to: Algal Functional Annotation Tool has parent organization: Ontario Institute for Cancer Research has parent organization: Cold Spring Harbor Laboratory has parent organization: European Bioinformatics Institute has parent organization: New York University School of Medicine; New York; USA works with: PathwayMatcher |
Ontario Research Fund ; European Molecular Biology Laboratory ; NHGRI P41 HG003751; European Union FP6 ENFIN LSHG-CT-2005-518254; NIGMS GM080223; NIGMS R01 GM100039 |
PMID:21082427 PMID:21067998 |
Open source, Public, Freely available | r3d100010285, nif-0000-03390, biotools:reactome | https://bio.tools/reactome, https://doi.org/10.17616/R3V59P | SCR_003485 | Reactome Functional Interaction Network | 2026-08-03 09:32:16 | 4282 | |||||
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Michigan Molecular Interactions Resource Report Resource Website 1+ mentions |
Michigan Molecular Interactions (RRID:SCR_003521) | MiMI | production service resource, data analysis service, web service, service resource, database, analysis service resource, data access protocol, data or information resource, software resource | MiMi Web gives you an easy to use interface to a rich NCIBI data repository for conducting your systems biology analyses. This repository includes the MiMI database, PubMed resources updated nightly, and text mined from biomedical research literature. The MiMI database comprehensively includes protein interaction information that has been integrated and merged from diverse protein interaction databases and other biological sources. With MiMI, you get one point of entry for querying, exploring, and analyzing all these data. MiMI provides access to the knowledge and data merged and integrated from numerous protein interactions databases and augments this information from many other biological sources. MiMI merges data from these sources with deep integration into its single database with one point of entry for querying, exploring, and analyzing all these data. MiMI allows you to query all data, whether corroborative or contradictory, and specify which sources to utilize. MiMI displays results of your queries in easy-to-browse interfaces and provides you with workspaces to explore and analyze the results. Among these workspaces is an interactive network of protein-protein interactions displayed in Cytoscape and accessed through MiMI via a MiMI Cytoscape plug-in. MiMI gives you access to more information than you can get from any one protein interaction source such as: * Vetted data on genes, attributes, interactions, literature citations, compounds, and annotated text extracts through natural language processing (NLP) * Linkouts to integrated NCIBI tools to: analyze overrepresented MeSH terms for genes of interest, read additional NLP-mined text passages, and explore interactive graphics of networks of interactions * Linkouts to PubMed and NCIBI's MiSearch interface to PubMed for better relevance rankings * Querying by keywords, genes, lists or interactions * Provenance tracking * Quick views of missing information across databases. Data Sources include: BIND, BioGRID, CCSB at Harvard, cPath, DIP, GO (Gene Ontology), HPRD, IntAct, InterPro, IPI, KEGG, Max Delbreuck Center, MiBLAST, NCBI Gene, Organelle DB, OrthoMCL DB, PFam, ProtoNet, PubMed, PubMed NLP Mining, Reactome, MINT, and Finley Lab. The data integration service is supplied under the conditions of the original data sources and the specific terms of use for MiMI. Access to this website is provided free of charge. The MiMI data is queryable through a web services api. The MiMI data is available in PSI-MITAB Format. These files represent a subset of the data available in MiMI. Only UniProt and RefSeq identifiers are included for each interactor, pathways and metabolomics data is not included, and provenance is not included for each interaction. If you need access to the full MiMI dataset please send an email to mimi-help (at) umich.edu. | gene, interaction, molecule, protein, protein interaction, protein-protein interaction |
is related to: MiMI Plugin for Cytoscape has parent organization: National Center for Integrative Biomedical Informatics |
Michigan Center for Biological Information ; National Center for Integrative Biomedical Informatics ; Pfizer ; Medical and Academic Partnerships ; Howard Hughes Medical Institute ; Microsoft Corporation ; NLM R01 LM008106; NIDA U54 DA021519; NSF IIS 0219513 |
PMID:18978014 PMID:17130145 |
nif-0000-00214 | SCR_003521 | 2026-08-03 09:32:09 | 5 | |||||||
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MiMI Plugin for Cytoscape Resource Report Resource Website 1+ mentions |
MiMI Plugin for Cytoscape (RRID:SCR_003424) | MiMI Plugin | software resource, data visualization software, software application, data processing software | The Cytoscape MiMI Plugin is an open source interactive visualization tool that you can use for analyzing protein interactions and their biological effects. The Cytoscape MiMI Plugin couples Cytoscape, a widely used software tool for analyzing bimolecular networks, with the MiMI database, a database that uses an intelligent deep-merging approach to integrate data from multiple well-known protein interaction databases. The MiMI database has data on 119,880 molecules, 330,153 interactions, and 579 complexes. By querying the MiMI database through Cytoscape you can access the integrated molecular data assembled in MiMI and retrieve interactive graphics that display protein interactions and details on related attributes and biological concepts. You can interact with the visualization by expanding networks to the next nearest neighbors and zooming and panning to relationships of interest. You also can perceptually encode nodes and links to show additional attributes through color, size and the visual cues. You can edit networks, link out to other resources and tools, and access information associated with interactions that has been mined and summarized from the research literature information through a biology natural language processing database (BioNLP) and a multi-document summarization system, MEAD. Additionally, you can choose sub-networks of interest and use SAGA, a graph matching tool, to match these sub-networks to biological pathways. | protein interaction, network visualization, xquery, interactive database, information refining, molecular interaction, bioinformatics tool, java, protein-protein interaction, interaction network, biological effect, bimolecular, interaction, molecular, network, pathway, protein, visualization, plugin |
is listed by: Biositemaps is related to: Cytoscape is related to: Michigan Molecular Interactions has parent organization: University of Michigan; Ann Arbor; USA has parent organization: National Center for Integrative Biomedical Informatics |
NIH ; NIDA U54 DA021519; NLM R01 LM008106; NCRR P41 RR018627 |
PMID:18812364 | nif-0000-33090 | http://mimiplugin.ncibi.org/index.html | SCR_003424 | Cytoscape Plugin for MiMI, MiMI Plugin - Cytoscape Plugin for MiMI | 2026-08-03 09:32:15 | 1 | |||||
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GCG/SeqWeb Resource Report Resource Website |
GCG/SeqWeb (RRID:SCR_003454) | GCG SeqWeb, GCG-SeqWeb | standard specification, nif annotation standard, availability annotation standard, software application, data processing software, narrative resource, this resource is no longer in service, data analysis software, text-mining software, data or information resource, software resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented January 28, 2019. Core Facility provides the software and support for computer assisted protein and DNA sequence analysis and database access. The Genetics Computer Group GCG-Wisconsin package is currently available on PBRC's UNIX platform that is accessible via modem or direct connection. The package can be accessed via three interfaces: the command-line interface (UNIX C-shell), the web-based interface (SeqWeb) and the X-Windows based graphics interface (SeqLab). Applications in the package include sequence editing, alignment, comparison, primer design, restriction analysis, mapping, data presentation, database browsing, etc. In addition to local databases, access to remote databases (BLAST) is integrated into the package. The local databases are updated quarterly. Databases available include GenBank, EMBL, PIR-Protein, SWISS-PROT and Restriction Enzymes (REBASE). | bioinformatics, data mining, statistical analysis, dna microarray, molecular modeling, genetic analysis, protein, dna, sequence analysis |
is listed by: Biositemaps has parent organization: University of Hawaii at Manoa |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33361 | http://core.biotech.hawaii.edu/b-gcg.htm | SCR_003454 | SeqWeb GCG, Sequence Analysis Software Package, GCG, Genetics Computer Group | 2026-08-03 09:32:15 | 0 | ||||||
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NEWMEDS Resource Report Resource Website 1+ mentions |
NEWMEDS (RRID:SCR_003872) | NEWMEDS | consortium, organization portal, data or information resource, portal | Consortium that will develop new models and methods to enable novel treatments for schizophrenia and depression including three important missing tools that will facilitate the translation of scientific findings into benefits for patients. The project will focus on developing new animal models which use brain recording and behavioral tests to identify innovative and effective drugs for schizophrenia. The project will develop standardized paradigms, acquisition and analysis techniques to apply brain imaging, especially fMRI and PET imaging to drug development. It will examine how new genetic findings (duplication and deletion or changes in genes) influence the response to various drugs and whether this information can be used to choose the right drug for the right patient. And finally, it will try and develop new approaches for shorter and more efficient trials of new medication - trials that may require fewer patients and give faster results. | drug, biomarker, neuroimaging, drug development, tool development, animal model, fmri, pet, gene, medicine, clinical trial, genetic variation, molecule, model, dna, protein |
is listed by: Consortia-pedia is related to: Abbott Diagnostics is related to: Janssen Research and Development is related to: Orion is related to: Pfizer Animal Genetics is related to: Roche is related to: King's College London; London; United Kingdom is related to: Karolinska Institute; Stockholm; Sweden is related to: University of Cambridge; Cambridge; United Kingdom is related to: Central Institute of Mental Health; Mannheim; Germany is related to: Spanish National Research Council; Madrid; Spain is related to: University of Manchester; Manchester; United Kingdom is related to: Bar-Ilan University; Ramat Gan; Isreal is related to: Psynova Neurotech is related to: deCODE genetics is related to: GABO:mi is related to: AbbVie has parent organization: King's College London; London; United Kingdom is parent organization of: DepressionTools.org Clinical Significance Calculator is parent organization of: Pharmacological Imaging and Pattern Recognition toolbox is parent organization of: DUPCheck |
Innovative Medicines Initiative 115008; EFPIA |
nlx_158196 | SCR_003872 | Novel Methods leading to New Medications in Depression and Schizophrenia, NEWMEDS - Novel Methods leading to New Medications in Depression and Schizophrenia | 2026-08-03 09:32:35 | 6 | |||||||
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AgedBrainSYSBIO Resource Report Resource Website 1+ mentions |
AgedBrainSYSBIO (RRID:SCR_003825) | AgedBrainSYSBIO | consortium, organization portal, data or information resource, portal | Consortium focused on identifying the foundational pathways responsible for the aging of the brain, with a focus on Late Onset Alzheimer's disease. They aim to identify the interactions through which the aging phenotype develops in normal and in disease conditions; modeling novel pathways and their evolutionary properties to design experiments that identify druggable targets. As early steps of neurodegenerative disorders are expected to impact synapse function the project will focus in particular on pre- or postsynaptic protein networks. The concept is to identify subsets of pathways with two unique druggable hallmarks, the validation of interactions occurring locally in subregions of neurons and a human and/or primate accelerated evolutionary signature. The consortium will do this through six approaches: * identification of interacting protein networks from recent Late-Onset Alzheimer Disease-Genome Wide Association Studies (LOAD-GWAS) data, * experimental validation of interconnected networks working in subregion of a neuron (such as dendrites and dendritic spines), * inclusion of these experimentally validated networks in larger networks obtained from available databases to extend possible protein interactions, * identification of human and/or primate positive selection either in coding or in regulatory gene sequences, * manipulation of these human and/or primate accelerated evolutionary interacting proteins in human neurons derived from induced Pluripotent Stem Cells (iPSCs) * modeling predictions in drosophila and novel mouse transgenic models * validation of new druggable targets and markers as a proof-of-concept towards the prevention and cure of aging cognitive defects. The scientists will share results and know-how on Late-Onset Alzheimer Disease-Genome Wide Association Studies (LOAD-GWAS) gene discovery, comparative functional genomics in mouse and drosophila models, in mouse transgenic approaches, research on human induced pluripotent stem cells (hiPSC) and their differentiation in vitro and modeling pathways with emphasis on comparative and evolutionary aspects. The four European small to medium size enterprises (SMEs) involved will bring their complementary expertise and will ensure translation of project results to clinical application. | consortium, drug, drug development, brain, phenotype, presynaptic, protein network, postsynaptic, systems biology, synapse, neuron, protein interaction, network, induced pluripotent stem cell, pathway, genome wide association study, cognitive defect, gene, protein |
is listed by: Consortia-pedia is related to: Pasteur Institute of Lille; Lille; France is related to: Mouse Clinical Institute; Alsace; France is related to: Hybrigenics is related to: Inserm Transfert is related to: VIB; Flanders; Belgium is related to: Quretec is related to: Gene Bridges is related to: European Bioinformatics Institute is related to: Tel Aviv University; Ramat Aviv; Israel is related to: SIB Swiss Institute of Bioinformatics is related to: Babraham Institute has parent organization: National Institute of Health and Medical Research; Rennes; France has parent organization: Inserm Transfert |
European Union FP7 305299 | nlx_158132 | SCR_003825 | 2026-08-03 09:32:16 | 3 | ||||||||
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SeWeR - SEquence analysis using WEb Resources Resource Report Resource Website |
SeWeR - SEquence analysis using WEb Resources (RRID:SCR_004167) | portal, service resource, topical portal, data or information resource, software resource | Sequence analysis using Web Resources (SeWeR) is an integrated, Dynamic HTML (DHTML) interface to commonly used bioinformatics services available on the World Wide Web. It is highly customizable, extendable, platform neutral, completely server-independent and can be hosted as a web page as well as being used as stand-alone software running within a web browser. It doesn''t require any server to host itself. The goal of SeWeR is to turn your web-browser into a powerful sequence-analysis tool. It is written entirely in JavaScript1.2. SeWeR can be downloaded and mirrored freely. The whole package is just around 300K. You can even run it from a floppy. SeWeR is not compatible with Netscape 6. SeWeR now generates graphics. Savvy is a plasmid drawing software that generates plasmid map in the revolutionary Scalable Vector Graphics format from W3C. | nucleic acid, protein, pcr, alignment, sequence, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Centre for Cellular and Molecular Biology; Hyderabad; India |
PMID:11395442 | biotools:sewer, nlx_18981 | https://bio.tools/sewer | SCR_004167 | SEquence analysis using WEb Resources, SeWeR | 2026-08-03 09:32:37 | 0 | |||||||
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University of Athens Biophysics and Bioinformatics Laboratory Resource Report Resource Website 1+ mentions |
University of Athens Biophysics and Bioinformatics Laboratory (RRID:SCR_006180) | University of Athens Biophysics & Bioinformatics Laboratory | organization portal, laboratory portal, portal, degree granting program, graduate program resource, undergraduate program resource, data or information resource, training resource | Laboratory focuses on research related to the elucidation of the principles governing protein structure and function, under the supervision of Professor Stavros J. Hamodrakas. In particular, original research is carried out along two main axes: # Algorithm development for the prediction of protein structure, function and interactions from amino acid sequence as well as construction of relevant databases. # Application of a variety of Biophysical methods and techniques for protein structure determination and for structural studies of complex, physiologically important, Biological tissues such as insect chorion and cuticle. More than 15 individuals (including post-doctoral researchers, PhD students, MSc and undergraduate students) are currently involved in several ongoing research projects. Apart from research, our lab offers undergraduate courses in Bioinformatics and Molecular Biophysics, which are elective for the degrees (BSc) in Biology (Faculty of Biology) and Physics (Faculty of Physics) of the University of Athens. At the same time, our lab is actively involved in the organization and co-ordination of the MSc Programme in Bioinformatics of the Faculty of Biology. | biophysics, bioinformatics, protein structure, protein function, protein, protein interaction, amino acid sequence, algorithm, prediction, structure, function, interaction |
has parent organization: University of Athens; Athens; Greece is parent organization of: PredSL is parent organization of: CAST is parent organization of: PRED-SIGNAL is parent organization of: AMYL-PRED is parent organization of: HMM-TM is parent organization of: PRED-LIPO is parent organization of: CW-PRED is parent organization of: PRED-TMBB is parent organization of: PRED-COUPLE 2 is parent organization of: ConBBPRED is parent organization of: PRED-GPCR is parent organization of: MCMBB is parent organization of: waveTM is parent organization of: PRED-TMR is parent organization of: GeneVito is parent organization of: PRED-CLASS is parent organization of: CoPreTHi is parent organization of: orienTM is parent organization of: SecStr is parent organization of: OMPdb is parent organization of: LepChorionDB is parent organization of: Human-gpDB is parent organization of: hPATM is parent organization of: NON-RED is parent organization of: DAM-Bio is parent organization of: SCAR is parent organization of: FT is parent organization of: DnaProt is parent organization of: CuticleDB is parent organization of: gpDB - a database of GPCRs G-proteins Effectors and their interactions is parent organization of: TMRPres2D is parent organization of: ExTopoDB |
nlx_151727 | SCR_006180 | Biophysics and Bioinformatics Laboratory at University of Athens, Biophysics and Bioinformatics Laboratory of the Department of Cell Biology and Biophysics of the University of Athens | 2026-08-03 09:33:01 | 1 | ||||||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | production service resource, data analysis service, data or information resource, database, analysis service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-08-03 09:33:00 | 1 | ||||
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PSCDB - Protein Structural Change DataBase Resource Report Resource Website |
PSCDB - Protein Structural Change DataBase (RRID:SCR_006116) | PSCDB | image collection, data or information resource, database | Database for protein structural change upon ligand binding that are classified into 7 classes in terms of the ligand binding sites and the location where the dominant motion occurs. # Coupled Domain motions are the domain motions induced upon ligand binding. # Independent Domain motions are the observable domain motions regardless of ligand binding. # Coupled Local motions are the local motions induced upon ligand binding. # Independent Local motions are the observable local motions regardless of ligand binding. # Burying ligand motions are imaginable motions required to hold ligand protein-inside. # No significant motions mean just nothing happen. # Other motions are motions unclassified into domain and local motions. Proteins are flexible molecules that undergo structural changes to function. The Protein Data Bank contains multiple entries for identical proteins determined under different conditions, e.g. with and without a ligand molecule, which provides important information for understanding the structural changes related to protein functions. We gathered 839 protein structural pairs of ligand-free and ligand-bound states from monomeric or homo-dimeric proteins, and constructed the Protein Structural Change DataBase (PSCDB). In the database, we focused on whether the motions were coupled with ligand binding. As a result, the protein structural changes were classified into seven classes, i.e. coupled domain motion (59 structural changes), independent domain motion (70), coupled local motion (125), independent local motion (135), burying ligand motion (104), no significant motion (311) and other type motion (35). PSCDB provides lists of each class. On each entry page, users can view detailed information about the motion, accompanied by a morphing animation of the structural changes. | protein, structure, ligand binding, ligand-free, ligand-bound, monomeric protein, homo-dimeric protein, animation, ligand, structural change | has parent organization: Nagoya University; Nagoya; Japan | Japanese Ministry of Education Culture Sports Science and Technology MEXT 20370063; Japanese Ministry of Education Culture Sports Science and Technology MEXT 21107523 |
PMID:22080505 PMID:21376729 |
nlx_151591 | SCR_006116 | Protein Structural Change DataBase (PSCDB), Protein Structural Change DataBase | 2026-08-03 09:33:00 | 0 | ||||||
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Newtomics Resource Report Resource Website 1+ mentions |
Newtomics (RRID:SCR_006073) | Newt-Omics | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Newt-omics is a database, which enables researchers to locate, retrieve and store data sets dedicated to the molecular characterization of newts. Newt-omics is a transcript-centered database, based on an Expressed Sequence Tag (EST) data set from the newt, covering ~50,000 Sanger sequenced transcripts and a set of high-density microarray data, generated from regenerating hearts. Newt-omics also contains a large set of peptides identified by mass spectrometry, which was used to validate 13,810 ESTs as true protein coding. Newt-omics is open to implement additional high-throughput data sets without changing the database structure. Via a user-friendly interface Newt-omics allows access to a huge set of molecular data without the need for prior bioinformatical expertise. The newt Notopthalmus viridescens is the master of regeneration. This organism is known for more than 200 years for its exceptional regenerative capabilities. Newts can completely replace lost appendages like limb and tail, lens and retina and parts of the central nervous system. Moreover, after cardiac injury newts can rebuild the functional myocardium with no scar formation. To date only very limited information from public databases is available. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publicly available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt, that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians. * Number of contigs: 26594 * Number of est in contigs: 48537 * Number of transcripts with verified peptide: 5291 * Number of peptides: 15169 | gene expression, regeneration, annotation, expression data, peptide sequence, gene sequence, tissue regeneration, newt, pathway, mammal, blast, contigs, peptide, tissue, microarray, heart, lens, dorsal, ventral, transcript, functional annotation, molecular process, model organism, expressed sequence tag, sequence, mass spectrometry, protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Max Planck Institute for Heart and Lung Research; Bad Nauheim; Germany |
Hessian Ministry for Science and Art | PMID:22039101 | To be used only for research and educational purposes. Any reproduction or use for commercial purpose is prohibited without the prior express written permission of the MPI for heart and lung research. | nlx_151479, biotools:newt-omics | https://bio.tools/newt-omics | SCR_006073 | newt db, Newt database | 2026-08-03 09:32:59 | 1 | ||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-08-03 09:32:59 | 25 |
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