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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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BioAfrica HIV Informatics in Africa Resource Report Resource Website 1+ mentions |
BioAfrica HIV Informatics in Africa (RRID:SCR_002295) | data or information resource, portal, topical portal | The BioAfrica HIV-1 Proteomics Resource is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. HIV Proteomics Resource contains information about each HIV-1 gene product in regard to expression, post-transcriptional / post-translational modifications, localization, functional activities, and potential interactions with viral and host macromolecules. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1HXB2, structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites. | expression, functional, gene, aids, cleavage, database, hiv, hiv/aids databases, interaction, localization, model, modification, post-transcriptional, post-translational, protease, protein, proteome, proteomic, publication, research, sequence, software, structural, journal article | has parent organization: University of KwaZulu-Natal; Durban; South Africa | nif-0000-21050 | SCR_002295 | HIV Informatics in Africa | 2026-09-12 12:55:39 | 5 | |||||||||
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Orphelia Resource Report Resource Website 1+ mentions |
Orphelia (RRID:SCR_000119) | simulation software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment. | metagenomic open reading frame, tool, resource, protein, genes, DNA, phyologenetic origin, machine learning, linear discriminates, artificial neural network, computation, scientific computing, fragment | is listed by: OMICtools | PMID:19429689 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01492 | SCR_000119 | 2026-09-12 12:55:03 | 2 | ||||||||
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Treephyler Resource Report Resource Website 1+ mentions |
Treephyler (RRID:SCR_000109) | Treephyler | software resource | A software tool for fast taxonomic profiling of metagenomes. | metagenome, perl, nucleotide, protein, next-generation sequencing | is listed by: OMICtools | PMID:20172941 | Free, Available for download, Freely available | OMICS_01469 | SCR_000109 | Treephyler: fast taxonomic profiling of metagenomes | 2026-09-12 12:55:03 | 1 | ||||||
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ARB project Resource Report Resource Website 10+ mentions |
ARB project (RRID:SCR_000515) | ARB | software resource | Software environment for maintaining databases of molecular sequences and additional information, and for analyzing the sequence data, with emphasis on phylogeny reconstruction. Programs have primarily been developed for ribosomal ribonucleic acid (rRNA) sequences and, therefore, contain special tools for alignment and analysis of these structures. However, other molecular sequence data can also be handled. Protein gene sequences and predicted protein primary structures as well as protein secondary structures can be stored in the same database. ARB package is designed for graphical user interface. Program control and data display are available in a hierarchical set of windows and subwindows. Majority of operations can be controlled using mouse for moving pointer and the left mouse button for initiating and performing operations. | rrna sequence, rrna, phylogeny, alignment, analysis, protein, gene |
is listed by: Debian is related to: SILVA is related to: SINA has parent organization: Technical University of Munich; Bavaria; Germany |
PMID:14985472 | Free, Available for download, Freely available | OMICS_01515 | https://sources.debian.org/src/arb/ | SCR_000515 | The ARB project | 2026-09-12 12:55:11 | 28 | |||||
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Wnt homepage Resource Report Resource Website 10+ mentions |
Wnt homepage (RRID:SCR_000662) | Wnt homepage | data or information resource, portal, topical portal | A resource for members of the Wnt community, providing information on progress in the field, maps on signaling pathways, and methods. The page on reagents lists many resources generously made available to and by the Wnt community. Wnt signaling is discussed in many reviews and in a recent book. There are usually several Wnt meetings per year. | wnt signaling, wnt, wnt protein, wnt pathway, signaling, pathway, method, protein, reagent, bibliography | has parent organization: Stanford University; Stanford; California | Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156863 | SCR_000662 | the Wnt homepage | 2026-09-12 12:55:13 | 13 | ||||||
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GONUTS Resource Report Resource Website 1+ mentions |
GONUTS (RRID:SCR_000653) | GONUTS | data or information resource, database, narrative resource, wiki | A wiki where users of the Gene Ontology can contribute and view notes about how specific GO terms are used. GONUTS can also be used as a GO term browser, or to search for GO annotations of specific genes from included organisms. The rationale for this wiki is based on helping new users of the gene ontology understand and use it. The GONUTS wiki is not an official product of the the Gene Ontology consortium. The GO consortium has a public wiki at their website, http://wiki.geneontology.org/. Maintaining the ontology involves many decisions to carefully choose terms and relationships. These decisions are currently made at GO meetings and via online discussion using the GO mailing lists and the Sourceforge curator request tracker. However, it is difficult for someone starting to use GO to understand these decisions. Some insight can be obtained by mining the tracker, the listservs and the minutes of GO meetings, but this is difficult, as these discussions are often dispersed and sometimes don't contain the GO accessions in the relevant messages. Wikis provide a way to create collaboratively written documentation for each GO term to explain how it should be used, how to satisfy the true path requirement, and whether an annotation should be placed at a different level. In addition, the wiki pages provide a discussion space, where users can post questions and discuss possible changes to the ontology. GONUTS is currently set up so anyone can view or search, but only registered users can edit or add pages. Currently registered users can create new users, and we are working to add at least one registered user for each participating database (So far we have registered users at EcoliHub, EcoCyc, GOA, BeeBase, SGD, dictyBase, FlyBase, WormBase, TAIR, Rat Genome Database, ZFIN, MGI, UCL and AgBase... | ontology or annotation browser, ontology or annotation search engine, ontology or annotation editor, protein |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: EcoliHub |
NIGMS 1U24 GM077905-01; NIGMS U24 GM088849 |
PMID:22110029 | Free for academic use, The community can contribute to this resource | OMICS_02268, nlx_30164 | SCR_000653 | Gene Ontology Normal Usage Tracking System, GONUTS wiki | 2026-09-12 12:55:12 | 1 | |||||
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Cardiovascular Proteomics Center Resource Report Resource Website |
Cardiovascular Proteomics Center (RRID:SCR_000603) | CPC, BUSM CPC | data or information resource, portal, topical portal | The Cardiovascular Proteomics Center is a research center funded by the NIH/NHLBI to analyze and identify proteins that may be modified or created by oxidative stress. The CPC is developing and applying new proteomics methodology and instrumentation to the analysis of known proteins and those yet to be discovered. | protein, cardiovascular, proteomics, heart, oxidative stress, mass spectrometry, biology, clinical | has parent organization: Boston University School of Medicine; Massachusetts; USA | NHLBI N01HV28178-12-0-1 | nlx_149148 | SCR_000603 | BUSM Cardiovascular Proteomics Center, Boston University School of Medicine Cardiovascular Proteomics Center, BU Cardiovascular Proteomics Center | 2026-09-12 12:55:12 | 0 | |||||||
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Interactome Wiki Resource Report Resource Website |
Interactome Wiki (RRID:SCR_000750) | data or information resource, narrative resource, wiki | This Wiki page provides information about Interactome of various species. An interactome of a species provides an important clues on how to interpret metabolic pathways of constituent enzymes and global protein network, which facilitates in turn to understand the mechanism responsible for the cellular functions. | enzyme, function, animal, bacterial, cellular, interactome, mechanism, metabolic, pathway, plant, protein, species | nif-0000-10260 | SCR_000750 | Interactome | 2026-09-12 01:00:06 | 0 | ||||||||||
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BOC Sciences Small molecule target protein ligand Service Resource Resource Report Resource Website |
BOC Sciences Small molecule target protein ligand Service Resource (RRID:SCR_022126) | service resource | Provides small molecule target protein ligand service to customers to meet new drug discovery goals. | BOC Sciences, biomedical service, small molecule target protein ligand, protein, ligand, PROTAC | Restricted | SCR_022126 | Small molecule target protein ligand, BOC Sciences PROTAC Small molecule target protein ligand, BOC Sciences Small molecule target protein ligand | 2026-09-12 01:00:05 | 0 | ||||||||||
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StatAlign Resource Report Resource Website 1+ mentions |
StatAlign (RRID:SCR_001892) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software package for Bayesian analysis of protein, DNA and RNA sequences. It utilizes multiple alignments, phylogenetic trees and evolutionary parameters to quantify uncertainty in these analyses. It is written in Java. | software package, bayesian, protein, dna, rna, sequencing, java, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
PMID:23335014 | Free, Available for download, Freely available | biotools:StatAlign, OMICS_03743 | https://bio.tools/StatAlign | SCR_001892 | StatAlign 2.0 | 2026-09-12 01:00:07 | 1 | ||||||
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FACTA+. Resource Report Resource Website 1+ mentions |
FACTA+. (RRID:SCR_001767) | FACTA+ | data access protocol, service resource, software resource, web service | Text mining tool to discover associations between biomedical concepts from MEDLINE articles. Use the service from your browser or via a Web Service. The whole MEDLINE corpus containing more than 20 million articles is indexed with an efficient text search engine, and it allows you to navigate such associations and their textual evidence in a highly interactive manner - the system accepts arbitrary query terms and displays relevant concepts immediately. A broad range of important biomedical concepts are covered by the combination of a machine learning-based term recognizer and large-scale dictionaries for genes, proteins, diseases, and chemical compounds. There is also a FACTA+ visualization service that can be found here: http://www.nactem.ac.uk/facta-visualizer/ | text mining, gene, protein, disease, symptom, drug, enzyme, compound, biomedical, association, machine learning, chemical, text-mining software, bio.tools |
is listed by: OMICtools is listed by: FORCE11 is listed by: bio.tools is listed by: Debian is related to: MEDLINE has parent organization: National Centre for Text Mining |
JISC | PMID:18772154 | Free, Freely available | biotools:facta_plus, nif-0000-10272, OMICS_01181 | http://refine1-nactem.mc.man.ac.uk/facta/, https://bio.tools/facta_plus | SCR_001767 | Finding Associated Concepts with Text Analysis | 2026-09-12 01:00:07 | 2 | ||||
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ProteomeXchange Resource Report Resource Website 5000+ mentions |
ProteomeXchange (RRID:SCR_004055) | catalog, consortium, data or information resource, data repository, database, organization portal, portal, service resource, storage service resource | A data repository for proteomic data sets. The ProteomeExchange consortium, as a whole, aims to provide a coordinated submission of MS proteomics data to the main existing proteomics repositories, as well as to encourage optimal data dissemination. ProteomeXchange provides access to a number of public databases, and users can access and submit data sets to the consortium's PRIDE database and PASSEL/PeptideAtlas. | consortium, database, proteomics, MS proteomics, protein, mass spectrometry, bio.tools, FASEB list |
uses: Proteomics Identifications (PRIDE) uses: PeptideAtlas is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: bio.tools is listed by: Debian is affiliated with: Omics Discovery Index is related to: Proteomics Identifications (PRIDE) is related to: PeptideAtlas is related to: SIB Swiss Institute of Bioinformatics is related to: Mass spectrometry Interactive Virtual Environment (MassIVE) is related to: European Bioinformatics Institute is related to: ProteomeTools is related to: Integrated Proteome Resources has parent organization: European Bioinformatics Institute |
European Union 260558 | Public, The community can contribute to this resource | r3d100012122, nlx_158620, biotools:proteomexchange | http://proteomecentral.proteomexchange.org, https://bio.tools/proteomexchange, https://doi.org/10.17616/R32D29 | SCR_004055 | , ProteomeXchange, Proteome Exchange | 2026-09-12 01:00:10 | 6107 | ||||||
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YLoc Resource Report Resource Website 10+ mentions |
YLoc (RRID:SCR_002464) | YLoc | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | An interpretable web server for predicting subcellular localization. In addition to the predicted location, YLoc gives a reasoning why this prediction was made and which biological properties of the protein sequence lead to this prediction. Moreover, a confidence estimate helps users to rate predictions as trustworthy. YLoc+ is able to predict the location of multiple-targeted proteins with high accuracy. The YLoc webserver is also accessible via SOAP. | subcellular localization, protein |
is listed by: OMICtools has parent organization: University of Tubingen; Tubingen; Germany |
PMID:20507917 PMID:20299325 |
Acknowledgement requested | OMICS_01638 | SCR_002464 | Yloc - Interpretable Subcellular Localization Prediction | 2026-09-12 01:00:08 | 36 | ||||||
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ngLOC Resource Report Resource Website 10+ mentions |
ngLOC (RRID:SCR_003150) | ngLOC | analysis service resource, data analysis service, production service resource, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.An n-gram-based Bayesian classifier that predicts subcellular localization of proteins both in prokaryotes and eukaryotes. The downloadable version of this software with source code is freely available for academic use under the GNU General Public License. | subcellular localization, protein, eukaryote, prokaryote, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:22780965 PMID:17472741 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01629, biotools:ngloc | https://bio.tools/ngloc | SCR_003150 | ngLOC - A Bayesian method for predicting protein subcellular localization | 2026-09-12 01:00:09 | 22 | |||||
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Gene Expression Omnibus (GEO) Resource Report Resource Website 10000+ mentions |
Gene Expression Omnibus (GEO) (RRID:SCR_005012) | GEO | data or information resource, data repository, database, service resource, storage service resource | Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries. | gold standard, genomics, data, repository, microarray, mRNA, DNA, protein, analysis, SAGE, mass spectrometry, dataset |
is used by: ChIPseeker is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is related to: Allen Institute for Brain Science has parent organization: NCBI works with: shinyGEO works with: Drug Gene Budger works with: Signaling Pathways Project works with: GEN3VA |
National Library of Medicine | PMID:23193258 PMID:21097893 PMID:18940857 PMID:17160034 PMID:17099226 PMID:16939800 PMID:16888359 PMID:15608262 PMID:11752295 |
r3d100010283, nif-0000-00142, OMICS_01030, nlx_96903, SCR_007303 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=gds, http://www.ncbi.nlm.nih.gov/geo/, https://doi.org/10.17616/R33P44 | http://www.ncbi.nlm.nih.gov/gds | SCR_005012 | Gene Expression Omnibus (GEO), Entrez GEO DataSets, Gene Expression Data Sets, Gene Expression Omnibus, GEO, NCBI GEO DataSets, GEO DataSets, Gene Expression Omnibus DataSets | 2026-09-12 01:00:10 | 14348 | ||||
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hPATM Resource Report Resource Website |
hPATM (RRID:SCR_006224) | hPATM | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | A web tool, based on a heuristic transformation of the original global pairwise and local pairwise alignment algorithms, offers objective alignments for transmembrane protein sequences. hPATM takes advantage of the information offered by the knowledge of the position of transmembrane segmets, by experiment or prediction. The heuristic approach may reveal similarities between diverge sequences with low percentages of identity and similarity. The produced alignments, based on common structural scaffolds derived by the transmembrane segments of the sequence, can be used to spot conserved non-transmembrane segments or as a basis for the production of 3-D models via homology modelling. The hPAFAG algorithm is based on the heuristic transformation of the Needleman & Wunsch and Smith & Waterman algorithms, featuring affine gap penalties. The heuristic transformation is based on two extra features: * a heuristic bonus, added to the score when two amino acids that belong to transmembrane segmens are aligned. * a heuristic gap penalty, substracted from the score when a gap is opened in a transmembrane segment. This way transmembrane segments are anchored (not by force, but by more strict alignment) together, allowing the pairwise alignment to focus on non-transmembrane segments. This web server offers a friendly interface for the hPATM command line version. The algorithm was implemented in PERL and the source code of the command line version is available on request by the authors. | heuristic, pairwise alignment, transmembrane protein, protein, algorithm, transmembrane, alignment, transmembrane segment, fasta | has parent organization: University of Athens Biophysics and Bioinformatics Laboratory | All rights are reserved for the whole or part of the program. Permission to use, Copy, And modify this software and its documentation is granted for academic use provided that authors are properly cited. | nlx_151775 | SCR_006224 | Heuristic Pairwise alignment for Transmembrane Proteins, hPATM - heuristic pairwise alignment for transmembrane proteins | 2026-09-12 01:00:12 | 0 | |||||||
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hmChIP Resource Report Resource Website 1+ mentions |
hmChIP (RRID:SCR_005407) | hmChIP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains >2000 samples from >500 ChIP-seq and ChIP-chip experiments, representing a total of >170 proteins and >10,000,000 protein-DNA interactions (March 2014). A web server provides an interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions. | chromatin immunoprecipitation, chip-seq, chip-chip, protein, protein-dna interaction, binding intensity |
is listed by: OMICtools has parent organization: Johns Hopkins Bloomberg School of Public Health; Maryland; USA |
PMID:21450710 | The community can contribute to this resource | OMICS_00536 | SCR_005407 | 2026-09-12 01:00:11 | 5 | |||||||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-09-12 01:00:11 | 37 | ||||||
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IDEAL - Intrinsically Disordered proteins with Extensive Annotations and Literature Resource Report Resource Website 10+ mentions |
IDEAL - Intrinsically Disordered proteins with Extensive Annotations and Literature (RRID:SCR_006027) | IDEAL | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | IDEAL, Intrinsically Disordered proteins with Extensive Annotations and Literature, is a collection of knowledge on experimentally verified intrinsically disordered proteins (IDPs) or intrinsically disordered regions (IDRs). IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and posttranslational modification sites together with references and structural domain assignments. Protean segment One of the unique phenomena seen in IDPs is so-called the coupled folding and binding, where a short flexible segment can bind to its binding partner with forming a specific structure to act as a molecular recognition element. IDEAL explicitly annotates these regions as protean segment (ProS) when unstructured and structured information are both available in the region. Access to the data All the entries are tabulated in the list and individual entries can be retrieved by using the search tool at the upper-right corner in this page. IDEAL also provides the BLAST search, which can find homologs in IDEAL. All the information in IDEAL can be downloaded in the XML file. | intrinsically disordered protein, protein, intrinsically disordered region, region, location, structure, functional site, protein binding region, binding region, posttranslational modification site, reference, structural domain assignment, blast, homolog, simian virus 40, epstein-barr virus, human herpesvirus 1, residue, protean segment, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Nagoya University; Nagoya; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:22067451 | biotools:ideal, nlx_151427 | https://bio.tools/ideal | SCR_006027 | IDEAL - Intrinsically Disordered proteins with Extensive Annotations Literature, Intrinsically Disordered proteins with Extensive Annotations and Literature | 2026-09-12 01:00:11 | 11 | |||||
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neXtProt Resource Report Resource Website 100+ mentions |
neXtProt (RRID:SCR_008911) | data or information resource, database, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2025. Human protein knowledge platform. Knowledge platform for human proteins selects and filters high throughput data pertinent to human proteins from UniProtKB. Extends UniProtKB/Swiss-Prot annotations for human proteins to include several new data types. | Protein, proteomics, sirna, 3d, pathway, variant, protein-protein interaction, protein-drug interaction, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: UniProtKB has parent organization: SIB Swiss Institute of Bioinformatics |
SIB ; Swiss Commission for Technology and Innovation |
PMID:22139911 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:nextprot, nlx_151482 | https://bio.tools/nextprot | SCR_008911 | 2026-09-12 01:00:14 | 177 |
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