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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PredictNLS Resource Report Resource Website 10+ mentions |
PredictNLS (RRID:SCR_003133) | PredictNLS | analysis service resource, data analysis service, production service resource, service resource, software resource | Software automated tool for analysis and determination of Nuclear Localization Signals (NLS). Predicts that your protein is nuclear or finds out whether your potential NLS is found in our database. The program also compiles statistics on the number of nuclear/non-nuclear proteins in which your potential NLS is found. Finally, proteins with similar NLS motifs are reported, and the experimental paper describing the particular NLS are given. | bio.tools, nuclear localization signal, protein, protein sequence |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: ROSTLAB has parent organization: Columbia University; New York; USA |
DOI:10.1093/embo-reports/kvd092 | Free, Available for download, Freely available | nif-0000-31416, OMICS_01633, SCR_008553, biotools:predictnls | https://www.rdocumentation.org/packages/propagate/versions/1.0-4/topics/predictNLS | SCR_003133 | Prediction and Analysis of Nuclear Localization Signals | 2026-09-12 12:55:52 | 33 | |||||
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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 | analysis service resource, data analysis service, data or information resource, database, production service resource, service 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 | 2026-09-12 12:55:54 | 4 | ||||
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MultiLoc Resource Report Resource Website 10+ mentions |
MultiLoc (RRID:SCR_003151) | MultiLoc | analysis service resource, data analysis service, production service resource, service resource, software resource | An extensive high-performance subcellular protein localization prediction system that incorporates phylogenetic profiles and Gene Ontology terms to yield higher accuracies compared to its previous version. Moreover, it outperforms other prediction systems in two benchmarks studies. A downloadable version of MultiLoc2 for local use is also available. | subcellular localization, protein, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tubingen; Tubingen; Germany |
PMID:19723330 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01628, biotools:multiloc2 | https://bio.tools/multiloc2 | SCR_003151 | 2026-09-12 12:55:52 | 41 | ||||||
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Database of Interacting Proteins (DIP) Resource Report Resource Website 100+ mentions |
Database of Interacting Proteins (DIP) (RRID:SCR_003167) | DIP | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available. | blast, cellular network, ligand-receptor complex, ligand, network, protein, protein interaction, protein ligand, protein-protein interaction, protein receptor, receptor, sequence, interaction, regulatory pathway, signaling pathway, protein binding, bio.tools, FASEB list |
is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: re3data.org is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: IMEx - The International Molecular Exchange Consortium is related to: IMEx - The International Molecular Exchange Consortium is related to: MPIDB is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: InteroPorc is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: NIH Data Sharing Repositories is related to: PSICQUIC Registry is related to: Agile Protein Interactomes DataServer has parent organization: University of California at Los Angeles; California; USA |
NIGMS | PMID:14681454 | Free, Available for download, Freely available | OMICS_01905, nif-0000-00569, r3d100010882, biotools:dip | https://dip.doe-mbi.ucla.edu/dip/Main.cgi, https://bio.tools/dip, https://doi.org/10.17616/R3431F | SCR_003167 | , Database of Interacting Proteins, DIP, Database of Interacting Proteins (DIP) | 2026-09-12 12:55:53 | 167 | ||||
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PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | data or information resource, database, narrative resource, 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, OMICS_01697, nif-0000-03294 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-09-12 12:55:56 | 32 | |||
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YPED Resource Report Resource Website 1+ mentions |
YPED (RRID:SCR_001436) | YPED | data or information resource, data repository, database, service resource, storage service resource | Open source system for storage, retrieval, and integrated analysis of large amounts of data from high throughput proteomic technologies. YPED currently handles LCMS, MudPIT, ICAT, iTRAQ, SILAC, 2D Gel and DIGE. The repository contains data sets which have been released for public viewing and downloading by the responsible Primary Investigators. It includes proteomic data generated by the Yale NIDA Neuroproteomics Center (http://medicine.yale.edu/keck/nida/index.aspx). Sample descriptions are compatible with the evolving MIAPE standards. | proteomics, protein, database, mass spectrometry, neuroscience, data analysis service, small molecule, source code, peptide, protein expression, phosphoprotein, mudpit, dige, icat, itraq |
uses: PANTHER is used by: Integrated Datasets is related to: Integrated Manually Extracted Annotation has parent organization: Yale School of Medicine; Connecticut; USA |
NIDA P30 DA018343; NHLBI N01-HV-28186 |
PMID:17867667 | Free, Freely Available | nlx_152660 | http://medicine.yale.edu/keck/nida/yped.aspx | SCR_001436 | Yale Protein Expression Database | 2026-09-12 12:55:25 | 4 | ||||
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Enrichr Resource Report Resource Website 5000+ mentions |
Enrichr (RRID:SCR_001575) | Enrichr | analysis service resource, data analysis service, production service resource, service resource, software application, software resource | A web-based gene list enrichment analysis tool that provides various types of visualization summaries of collective functions of gene lists. It includes new gene-set libraries, an alternative approach to rank enriched terms, and various interactive visualization approaches to display enrichment results using the JavaScript library, Data Driven Documents (D3). The software can also be embedded into any tool that performs gene list analysis. System-wide profiling of genes and proteins in mammalian cells produce lists of differentially expressed genes / proteins that need to be further analyzed for their collective functions in order to extract new knowledge. Once unbiased lists of genes or proteins are generated from such experiments, these lists are used as input for computing enrichment with existing lists created from prior knowledge organized into gene-set libraries. | bed, gene, software as a service, rna-seq, analyze, protein, function, gene list, visualization, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:23586463 | Free, Freely available | biotools:enrichr, SciRes_000171 | https://bio.tools/enrichr | SCR_001575 | 2026-09-12 12:55:27 | 5047 | ||||||
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iBIOFind Resource Report Resource Website |
iBIOFind (RRID:SCR_001587) | iBIOFind | data or information resource, database, service resource, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. C#.NET 4.0 WPF / OWL / REST / JSON / SPARQL multi-threaded, parallel desktop application enables the construction of biomedical knowledge through PubMed, ScienceDirect, EndNote and NIH Grant repositories for tracking the work of medical researchers for ranking and recommendations. Users can crawl web sites, build latent semantic indices to generate literature searches for both Clinical Translation Science Award and non-CTSA institutions, examine publications, build Bayesian networks for neural correlates, gene to gene interactions, protein to protein interactions and as well drug treatment hypotheses. Furthermore, one can easily access potential researcher information, monitor and evolve their networks and search for possible collaborators and software tools for creating biomedical informatics products. The application is designed to work with the ModelMaker, R, Neural Maestro, Lucene, EndNote and MindGenius applications to improve the quality and quantity of medical research. iBIOFind interfaces with both eNeoTutor and ModelMaker 2013 Web Services Implementation in .NET for eNeoTutor to aid instructors to build neuroscience courses as well as rare diseases. Added: Rare Disease Explorer: The Visualization of Rare Disease, Gene and Protein Networks application module. Cinematics for the Image Finder from Yale. The ability to automatically generate and update websites for rare diseases. Cytoscape integration for the construction and visualization of pathways for Molecular targets of Model Organisms. Productivity metrics for medical researchers in rare diseases. iBIOFind 2013 database now includes over 150 medical schools in the US along with Clinical Translational Science Award Institutions for the generation of biomedical knowledge, biomedical informatics and Researcher Profiles. | workflow, model, prediction, research trend, rare disease, resource discovery, biomedicine, genomic, neural network, visualization, reporting, search engine, genetic, neural, clinical translation science award, biomedical resource, funding, gene, protein, neuron, collaborator, publication, trend, grant, funding opportunity, report |
is related to: ModelMaker is related to: Neural Maestro is related to: eNeoTutor is related to: Cytoscape is related to: Biomedical Resource Ontology is related to: PubMed has parent organization: The Cromwell Workshop |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153829 | SCR_001587 | 2026-09-12 12:55:27 | 0 | ||||||||
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Globin Gene Server Resource Report Resource Website 10+ mentions |
Globin Gene Server (RRID:SCR_001480) | Globin Gene Server | analysis service resource, data analysis service, data or information resource, database, narrative resource, production service resource, resource, service resource, software resource, source code, training material | Data and tools for studying the function of DNA sequences, with an emphasis on those involved in the production of hemoglobin. It includes information about naturally-occurring human hemoglobin mutations and their effects, experimental data related to the regulation of the beta-like globin gene cluster, and software tools for comparing sequences with one another to discover regions that are likely to play significant roles. | dna sequence, hemoglobin, mutation, globin gene cluster, sequence comparison, functional genomics, gene, alignment, genetic analysis, variant, gene expression, protein, thalassemia, globin gene, genome, pairwise alignment, multiple alignment, annotation, sequence analysis, dna |
is listed by: NIDDK Information Network (dkNET) has parent organization: Pennsylvania State University |
NLM R01LM05773; NLM R01LM05110; NIDDK DK27635 |
PMID:11857738 PMID:11480780 PMID:9799599 PMID:9576329 PMID:8088828 |
Free, Freely available | nlx_152723 | SCR_001480 | 2026-09-12 12:55:26 | 30 | ||||||
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GenitoUrinary Development Molecular Anatomy Project Resource Report Resource Website 100+ mentions |
GenitoUrinary Development Molecular Anatomy Project (RRID:SCR_001554) | GUDMAP | biomaterial supply resource, material resource, organism supplier | Project aggregates and provides experimental gene expression data from genito-urinary system. International consortium providing molecular atlas of gene expression for developing organs of GenitoUrinary (GU) tract. Mouse strains to facilitate developmental and functional studies within GU system. Experimental protocols and standard specifications. Tutorials describing GU organogenesis and primary data via database. Data are from large-scale in situ hybridization screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of developing mouse genitourinary (GU) system. | gene expression, genitourinary tract, molecular anatomy, genitourinary system, organogenesis, genitourinary, in situ hybridization, immunohistochemistry, microarray, mutant mouse strain, development, rna, protein, theiler stage, gene, anatomy, male, female, embryonic mouse, kidney, urogenital tract, urinary, reproductive, disease, molecule, cell, gene, phenotype, functional annotation, protein interaction, transgenic transgene, image, rna extraction, sample preparation, fluorescent immunohistochemistry, rna isolation, rna amplification, labeling, fluorescent in situ-hybridization, riboprobe synthesis, cellular localization, tissue isolation, embedding, cryostat sectioning, laser capture microdissection, paraffin, whole mount, optimal cutting temperature, riboprobe synthesis, target amplification, sectioning, FASEB list |
is used by: NIDDK Information Network (dkNET) is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources is listed by: Collaborating for the Advancement of Interdisciplinary Research in Benign Urology is related to: ToppCluster is related to: One Mind Biospecimen Bank Listing is parent organization of: GUDMAP Ontology is parent organization of: GATACA GUDMAP Gene Explorer |
NIDDK DK070136; NIDDK DK070181; NIDDK DK070200 |
PMID:21652655 PMID:18287559 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152871, nif-0000-33426 | SCR_001554 | Murine Atlas for Genitourinary Development | 2026-09-12 12:55:27 | 289 | |||||
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Cold Spring Harbor Protocols: Collected Resources - Behavioral Assays Resource Report Resource Website 100+ mentions |
Cold Spring Harbor Protocols: Collected Resources - Behavioral Assays (RRID:SCR_001697) | CSH Protocols - Behavioral Assays | bibliography, data or information resource | A bibliography of published Behavioral Assays by Cold Spring Harbor Protocols. Cold Spring Harbor Protocols is an interdisciplinary journal providing a definitive source of research methods in cell, developmental and molecular biology, genetics, bioinformatics, protein science, computational biology, immunology, neuroscience and imaging. Each monthly issue details multiple essential methods - a mix of cutting-edge and well-established techniques. Newly commissioned protocols and unsolicited submissions are supplemented with articles based on Cold Spring Harbor Laboratorys renowned courses and manuals. All protocols are up-to-date and presented in a consistent, easy-to-follow format. | genetics, bioinformatics, cell, computational biology, development, imaging, immunology, journal, molecular, neuroscience, protein, research, behavioral assay, behavior, ant, honeybee, learning, courtship, larvae, adult, stress, olfactory, aggression, sleep, movement, locomotor, circadian, feeding | has parent organization: Cold Spring Harbor Laboratory | Free, Freely Available | nif-0000-10198 | SCR_001697 | Cold Spring Harbor Protocols - Behavioral Assays | 2026-09-12 12:55:29 | 108 | |||||||
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An Integrated Multiple Structure Visualization and Multiple Sequence Alignment Application Resource Report Resource Website |
An Integrated Multiple Structure Visualization and Multiple Sequence Alignment Application (RRID:SCR_001646) | data analysis software, data processing software, data visualization software, rendering software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Friend is a bioinformatics application designed for simultaneous analysis and visualization of multiple structures and sequences of proteins and/or DNA/RNA. The application provides basic functionalities such as: structure visualization with different rendering and coloring, sequence alignment, and simple phylogeny analysis, along with a number of extended features to perform more complex analyses of sequence structure relationships, including: structural alignment of proteins, investigation of specific interaction motifs, studies of protein-protein and protein-DNA interactions, and protein super-families. Friend is also useful for the functional annotation of proteins, protein modeling, and protein folding studies. Friend provides three levels of usage; 1) an extensive GUI for a scientist with no programming experience, 2) a command line interface for scripting for a scientist with some programming experience, and 3) the ability to extend Friend with user written libraries for an experienced programmer. The application is linked and communicates with local and remote sequence and structure databases. | alignment, analysis, bioinformatics, database, dna, interaction, motif, phylogeny, protein, rna, scientist, sequence, structure, super-family, visualization, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Northeastern University; Massachusetts; USA |
PMID:16076889 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:friend, nif-0000-10149 | https://bio.tools/friend | SCR_001646 | FRIEND | 2026-09-12 12:55:28 | 0 | ||||||
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MEME Suite - Motif-based sequence analysis tools Resource Report Resource Website 1000+ mentions |
MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) | MEME Suite | analysis service resource, data analysis service, data analysis software, data or information resource, data processing software, database, production service resource, service resource, software application, software resource, source code | Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use. | gene ontology, motif, comparative genomics, dna regulatory motif, dna sequence, dna, gene, transcription factor, genome, protein, analysis, function analysis, comparison, cluster, enrichment analysis, sequence analysis, bio.tools, FASEB list |
lists: DREME is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Glam2 is related to: ANNOgesic is related to: memesuite-lite has parent organization: National Biomedical Computation Resource is parent organization of: GOMO - Gene Ontology for Motifs |
NCRR R01 RR021692 | PMID:19458158 DOI:10.1093/nar/gkl198 |
Free, Freely available | nif-0000-10298, biotools:meme_suite, OMICS_08103 | https://bio.tools/meme_suite | http://meme.sdsc.edu/meme4_6_1/intro.html, http://meme.nbcr.net/meme/, https://sources.debian.org/src/meme/ | SCR_001783 | The MEME Suite | 2026-09-12 12:55:31 | 2472 | |||
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Stable Isotope Labeling with Amino Acids in Cell Culture Resource Report Resource Website 500+ mentions |
Stable Isotope Labeling with Amino Acids in Cell Culture (RRID:SCR_001873) | data or information resource, portal, topical portal | Stable isotope labeling with amino acids in cell culture (SILAC) is a simple and straightforward approach for in vivo incorporation of a label into proteins for mass spectrometry (MS)-based quantitative proteomics. SILAC relies on metabolic incorporation of a given "light" or "heavy" form of the amino acid into the proteins. The method relies on the incorporation of amino acids with substituted stable isotopic nuclei (e.g. deuterium, 13C, 15N). In an experiment, two cell populations are grown in culture media that are identical except that one of them contains a "light" and the other a "heavy" form of a particular amino acid (e.g. 12C and 13C labeled L-lysine, respectively). When the labeled analog of an amino acid is supplied to cells in culture instead of the natural amino acid, it is incorporated into all newly synthesized proteins. After a number of cell divisions, each instance of this particular amino acid will be replaced by its isotope labeled analog. Since there is hardly any chemical difference between the labeled amino acid and the natural amino acid isotopes, the cells behave exactly like the control cell population grown in the presence of normal amino acid. It is efficient and reproducible as the incorporation of the isotope label is 100%. SILAC Applications: - Differential expression of proteins and identification of disease biomarkers - Cell signaling dynamics - Analysis of yeast pheromone signaling pathway - Identification of methylation sites - Identification of protease substrates - Study of protein complexes/protein interactions - Analysis of signaling pathways and effect of pharmacological inhibitors - Subcellular proteomics Sponsors: Supported in part by an NIH Roadmap grant Technology Center for Networks & Pathways of Lysine Modification. | amino acid, analog, biomarker, cell culture, cell division, cell signal, chemical, deuterium, disease, inhibitor, in vivo, isotope, labeling, lysine, mass spectrometry, media, metabolic, methylation site, nucleus, pharmacological, protease, protein, protein complex, protein interaction, proteomics, signaling pathway, subcellular, substrate, yeast pheromone | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10435 | SCR_001873 | SILAC | 2026-09-12 12:55:33 | 673 | |||||||||
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Psort Resource Report Resource Website 100+ mentions |
Psort (RRID:SCR_007038) | PSORT | analysis service resource, data analysis service, data analysis software, data or information resource, data processing software, data set, portal, production service resource, service resource, software application, software resource, topical portal | Portal to the PSORT family of computer programs for the prediction of protein localization sites in cells, as well as other datasets and resources relevant to localization prediction. The standalone versions are available for download for larger analyses. | subcellular, localization, prediction, gram, gram-positive, gram-negative, sequence, fasta, protein, protein localization, cell, motif, profile, amino acid, subcellular localization |
is listed by: OMICtools is related to: PSORT II has parent organization: Simon Fraser University; British Columbia; Canada |
OMICS_01634, nif-0000-31883 | http://psort.hgc.jp/ | SCR_007038 | Psort.org, PSORT: Prediction of Protein Sorting Signals and Localization Sites in Amino Acid Sequences | 2026-09-12 12:56:49 | 222 | |||||||
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ProDom Resource Report Resource Website 100+ mentions |
ProDom (RRID:SCR_006969) | ProDom | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Comprehensive set of protein domain families automatically generated from UniProt Knowledge Database. Automated clustering of homologous domains generated from global comparison of all available protein sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | set, protein, domain, family, automatically, generated, UniProt, database, homologous, sequence, compare, FASEB list |
is listed by: OMICtools is related to: UniProt is related to: InterPro has parent organization: PRABI |
European Union ; Re´seau des Ge´nopoles ; ‘Programme de Bio-Informatique InterOrganismes |
PMID:15608179 PMID:12230033 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01698, nif-0000-03342 | http://prodom.prabi.fr/prodom/current/html/home.php | SCR_006969 | 2026-09-12 12:56:48 | 354 | |||||
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HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site Resource Report Resource Website 1+ mentions |
HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) | HAMSTeRS, HADB, HADB/HAMSTeRS, HADB / HAMSTeRS | data or information resource, data repository, database, service resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019. Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines) |
function, gene, genetic, analysis, bioinformatic, biological, biostatistic, caeruloplasmiin, crystal, haemophilia a, human, murine, porcine, canine, level, molecular, molecule, mutation, nucleic acid, or disease- specific databases, pathology, structural, structure, system-, vitromutagenesis, fviii genetic variation, dna, protein, factor viii, blood-clotting protein, point mutation, deletion, insertion | has parent organization: Imperial College London; London; United Kingdom | Pfizer UK ; MRC |
PMID:9399839 PMID:9016520 PMID:8594555 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21184 | http://europium.csc.mrc.ac.uk/WebPages/Main/main.htm, http://hadb.org.uk/ | SCR_006883 | HAMSTeRS - The Haemophilia A Mutation Structure Test Resource Site, Haemophilia A Mutation Database, Haemophilia A Mutation Structure Test and Resource Site, Haemophilia A Mutation Structure Test Resource Site | 2026-09-12 12:56:47 | 9 | ||||
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FastSemSim Resource Report Resource Website 1+ mentions |
FastSemSim (RRID:SCR_006919) | FastSemSim | software library, software resource, software toolkit | A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, functional similarity, semantic similarity, graphical user interface, gene ontology, annotation, parse, gene, protein |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Padua; Padua; Italy has parent organization: SourceForge |
Open unspecified license - Free for academic use. GNU GPL license. However, This software is currently unpublished work. You must contact us before using it or its results or any work/app. based on top of it in any published work. | nlx_149309 | SCR_006919 | 2026-09-12 12:56:47 | 6 | ||||||||
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Antibiotic Resistance Genes Database Resource Report Resource Website 100+ mentions |
Antibiotic Resistance Genes Database (RRID:SCR_007040) | data computation service, data or information resource, database | The goals of Antibiotic Resistance Genes Database (ARGB) are to provide a centralized compendium of information on antibiotic resistance, to facilitate the consistent annotation of resistance information in newly sequenced organisms, and also to facilitate the identification and characterization of new genes. ARGB contains six types of database groups: - Resistance Type: This database contains information, such as resistance profile, mechanism, requirement, epidemiology for each type. - Resistance Gene: This database contains information, such as resistance profile, resistance type, requirement, protein and DNA sequence for each gene.This database only includes NON-REDUNDANT, NON-VECTOR, COMPLETE genes. - Antibiotic: This database contains information, such as producer, action mechanism, resistance type, for each gene. - Resistance Gene(NonRD): This database contains the same information as Resistance Gene. It does NOT include NON-REDUNDANT, NON-VECTOR genes, but includes INCOMPLETE genes. - Resistance Gene(ALL): This database contains the same information as Resistance Gene. It includes all REDUNDANT, VECTOR AND INCOMPLETE genes. - Resistance Species: This database contains resistance profile and corresponding resistance genes for each species. Furthermore, ARDB also contians three types BLAST database: - Resistance Genes Complete: Contains only NON-REDUNDANT, NON-VECTOR, COMPLETE genes sequences. - Resistance Genes Non-redundant: Contains NON-REDUNDANT, NON-VECTOR, COMPLETE, INCOMPLETE genes sequences. - Resistance Genes All: Contains all REDUNDANT, VECTOR, COMPLETE, INCOMPLETE genes sequences. Lastly, ARDB provides four types of Analytical tools: - Normal BLAST: This function allows an user to input a DNA or protein sequence, and find similar DNA (Nucleotide BLAST) or protein (Protein BLAST) sequences using blastn, blastp, blastx, tblastn, tblastx - RPS BLAST: A web RPSBLAST (RPS BLAST) interface is provided to align a query sequence against the Position Specific Scoring Matrix (PSSM) for each type. Normally, this will give the same annotation information as using regular BLAST mentioned above. - Multiple Sequences BLAST (Genome Annotation): This function allows an user to annotate multiple (less than 5000) query sequences in FASTA format. - Mutation Resistance Identification: This function allows an user to identify mutations that will cause potential antibiotic resistance, for 12 genes (16S rRNA, 23S rRNA, gyrA, gyrB, parC, parE, rpoB, katG, pncA, embB, folP, dfr). ������ :Sponsors: ARDB is funded by Uniformed Services University of the Health Sciences, administered by the Henry Jackson Foundation. : | genome, antibiotic, antibiotic resistance gene, dna, metagenome, mutation resistance, prokaryotic genomic database, protein, FASEB list | has parent organization: University of Maryland; Maryland; USA | nif-0000-02565 | SCR_007040 | ARDB | 2026-09-12 12:56:49 | 124 | |||||||||
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DART - Drug Adverse Reaction Targets Resource Report Resource Website 1+ mentions |
DART - Drug Adverse Reaction Targets (RRID:SCR_007041) | DART | data or information resource, data repository, database, service resource, storage service resource | Database that provides comprehensive information about adverse effect targets of drugs described in the literature, including information about known drug adverse reaction targets, functions and properties. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as adverse drug reaction (ADR) targets are also included as potential targets. Associated references are also included. This database gives physiological function of each target, binding drugs / agonists / antagonists / activators / inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. Each entry can be retrieved through multiple search methods including target name, target physiological function, adverse effect, ligand name, and biological pathways. A special page is provided for contribution of new or additional information. Function for ADR-target prediction by SVMDART: Submit protein primary sequence for ADR-related protein prediction. | drug, drug target, evaluation, adverse drug reaction, adverse reaction, agonist, antagonist, binding, ic value, inhibitor, ligand binding property, ligand, physiological function, protein prediction, protein, protein target, target, type, toxicity, data analysis service, toxic | has parent organization: National University of Singapore; Singapore; Singapore | PMID:12862503 | Non-commercial use, The community can contribute to this resource | nif-0000-02720 | SCR_007041 | 2026-09-12 12:56:49 | 2 |
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