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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Functional Coverage of the Proteome Resource Report Resource Website 1+ mentions |
Functional Coverage of the Proteome (RRID:SCR_007654) | data or information resource, database | FCP is a publicly accessible web tool dedicated to analyzing the current state and trends of available proteome structures along the classification schemes of enzymes and nuclear receptors. It offers both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures and on the bias observed in the distribution of those structures among proteins. Users can choose to search the website based on structures or ligands, and can also sort by enzyme or receptor. Users can also view data based on structural and population (species) filters. | enzyme, nuclear receptor, protein, proteome, proteome structure | has parent organization: Pompeu Fabra University; Barcelona; Spain | nif-0000-02834 | SCR_007654 | FCP | 2026-02-14 02:06:05 | 2 | |||||||||
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Database of Spatially Interacting Motifs in Proteins Resource Report Resource Website |
Database of Spatially Interacting Motifs in Proteins (RRID:SCR_007735) | iMOTdb | data or information resource, database | Comprehensive collection of spatially interacting motifs in proteins. Interacting motif database lists interacting motifs that are identified for all structural entries in PDB. Conserved patterns or finger prints are identified for individual structural entries and also grouped together for reporting common motifs shared among all superfamily members. | Conserved patterns, spatially interacting motifs, finger prints, structural entries, protein | has parent organization: Tata Institute of Fundamental Research; Mumbai; India | Wellcome Trust | PMID:16381866 | Free, Freely available | nif-0000-03018, SCR_008194, nif-0000-21218 | SCR_007735 | 2026-02-14 02:06:07 | 0 | ||||||
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Systematic Platform for Identifying Mutated Proteins (SysPIMP) Resource Report Resource Website 1+ mentions |
Systematic Platform for Identifying Mutated Proteins (SysPIMP) (RRID:SCR_007954) | SysPIMP | data or information resource, database | A database ofhuman disease-related mutated proteins identified by mass-spectrometry (MS). For achieving this goal, we collected human mutated sequences known to be related to diseases till now. After surveying mutated sequence sources: PMD, OMIM, SwissProt polymorphism, HGMD, etc, we found that currently HGMD contains the largest human gene mutation information. However, because, for academic users, HGMD does not provide with whole data download service, we decided to systematically extract and curate mutation information from PMD, OMIM, SwissProt, MSIPI database to form SysPIMP and provide it free for academic users. | human disease, mutation, protein |
has parent organization: Shanghai Jiao Tong University; Shanghai; China has parent organization: Chinese Academy of Sciences; Beijing; China |
nif-0000-03527 | SCR_007954 | Systematic Platform for Identifying Mutated Proteins | 2026-02-14 02:06:33 | 2 | ||||||||
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SYSTERS Resource Report Resource Website 1+ mentions |
SYSTERS (RRID:SCR_007955) | data or information resource, database | SYSTERS is a database of protein sequences grouped into homologous families and superfamilies. The SYSTERS project aims to provide a meaningful partitioning of the whole protein sequence space by a fully automatic procedure. A refined two-step algorithm assigns each protein to a family and a superfamily. The sequence data underlying SYSTERS release 4 now comprise several protein sequence databases derived from completely sequenced genomes (ENSEMBL, TAIR, SGD and GeneDB), in addition to the comprehensive Swiss-Prot/TrEMBL databases. To augment the automatically derived results, information from external databases like Pfam and Gene Ontology are added to the web server. Furthermore, users can retrieve pre-processed analyses of families like multiple alignments and phylogenetic trees. New query options comprise a batch retrieval tool for functional inference about families based on automatic keyword extraction from sequence annotations. A new access point, PhyloMatrix, allows the retrieval of phylogenetic profiles of SYSTERS families across organisms with completely sequenced genomes. Gene, Human, Vertebrate, Genome, Human ORFs | family, gene, genome, human, human orfs, protein, superfamily, vertebrate | has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany | nif-0000-03528 | SCR_007955 | SYSTERS | 2026-02-14 02:06:10 | 7 | |||||||||
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SUPERFAMILY Resource Report Resource Website 100+ mentions |
SUPERFAMILY (RRID:SCR_007952) | data or information resource, database | SUPERFAMILY is a database of structural and functional protein annotations for all completely sequenced organisms. The SUPERFAMILY annotation is based on a collection of hidden Markov models, which represent structural protein domains at the SCOP superfamily level. A superfamily groups together domains which have an evolutionary relationship. The annotation is produced by scanning protein sequences from over 1,700 completely sequenced genomes against the hidden Markov models. | protein, hmm, hidden markov model, genome, structure, homology, model, FASEB list |
is listed by: 3DVC is related to: DBD: Transcription factor prediction database has parent organization: University of Bristol; Bristol; United Kingdom |
PMID:11697912 | nif-0000-03511 | http://supfam.org, http://stash.mrc-lmb.cam.ac.uk/SUPERFAMILY | SCR_007952 | Superfamily - HMM library and genome assignments server | 2026-02-14 02:06:40 | 325 | |||||||
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Search Tool for Interactions of Chemicals Resource Report Resource Website 500+ mentions |
Search Tool for Interactions of Chemicals (RRID:SCR_007947) | STITCH | data or information resource, database | Database to explore known and predicted interactions of chemicals and proteins. It integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins. Each proposed interaction can be traced back to the original data sources. The database contains interaction information for over 68,000 different chemicals, including 2200 drugs, and connects them to 1.5 million genes across 373 genomes and their interactions contained in the STRING database. | drug-target relationship, chemical, chemical-protein interaction, chemical relationship, crystal structure, metabolic pathway interaction, protein, interaction, small molecule, drug, interaction network, FASEB list |
is listed by: OMICtools is related to: Integrated Molecular Interaction Database has parent organization: European Molecular Biology Laboratory |
BMBF ; European Union FP6 EMBO ; ProBioC |
PMID:22075997 PMID:19897548 PMID:18084021 |
r3d100012165, OMICS_01589, nif-0000-03499 | https://doi.org/10.17616/R3606X https://doi.org/10.17616/R3606X |
SCR_007947 | STITCH: Chemical-Protein Interactions | 2026-02-14 02:06:33 | 754 | |||||
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Topology Data Bank of Transmembrane Proteins Resource Report Resource Website 1+ mentions |
Topology Data Bank of Transmembrane Proteins (RRID:SCR_007964) | TOPDB | data or information resource, database | Collection of transmembrane protein datasets containing experimentally derived topology information from the literature and from public databases. Web interface of TOPDB includes tools for searching, relational querying and data browsing, visualisation tools for topology data. | collection, transmembrane, protein, dataset, topology, public, data, sequence, database |
has parent organization: Hungarian Academy of Sciences; Budapest; Hungary works with: CCTOP |
Hungarian research and development funds ; OTKA ; Öveges fellowship ; Bolyai János Scholarship |
PMID:17921502 | Free, Available for download, Freely available for non commercial users | nif-0000-03568 | SCR_007964 | Topology Data Bank of Transmembrane Proteins, TOPDB | 2026-02-14 02:06:33 | 6 | |||||
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SIMAP Resource Report Resource Website 10+ mentions |
SIMAP (RRID:SCR_007927) | SIMAP | data or information resource, database | It provides a database based on a pre-computed similarity matrix covering the similarity space formed by >4 million amino acid sequences from public databases and completely sequenced genomes. The database is capable of handling very large datasets and is updated incrementally. For sequence similarity searches and pairwise alignments, we implemented a grid-enabled software system, which is based on FASTA heuristics and the Smith Waterman algorithm. SimpleSIMAP and AdvancedSIMAP retrieve homologs for given protein sequences that need to be contained in the SIMAP database. While SimpleSIMAP provides only selected parameters and preconfigured search spaces, the AdvancedSIMAP allows the user to specify search space, filtering and sorting parameters in a flexible manner. Both types of queries result in lists of homologs that are linked in turn to their homologs. So the web interfaces allow users to explore quickly and interactively the protein world by homology. Sponsors: SIMAP is supported by the Department of Genome Oriented Bioinformatics of the Technische Universitt Mnchen and the Institute for Bioinformatics of the GSF-National Research Center for Environment and Health. | genome, alignment, amino acid, homolog, matrix, protein, protein domain and protein classification databases, sequence | SCR_007927 | The Similarity Matrix of Proteins, Similarity Matrix of Proteins | 2026-02-14 02:06:05 | 14 | ||||||||||
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ARNIE Resource Report Resource Website |
ARNIE (RRID:SCR_000514) | ARNIE | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1,2023. Database that integrates the extracellular protein interaction network generated in our lab using AVEXIS technology with spatiotemporal expression patterns for all genes in the network. The tool allows users to browse the network by clicking on individual proteins, or by specifying the spatiotemporal parameters. Clicking on connector lines will allow users to compare stage-matched expression patterns for genes encoding interacting proteins. Additionally, users can rapidly search for their genes in the network using the BLAST server provided. | network, orthologue, paralogue, gene, orthologue, protein interaction, protein, blast, extracellular, expression profiling, interaction network, ligand, interaction, signaling |
is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
MRC ; Wellcome Trust |
PMID:20802085 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01529 | SCR_000514 | AVEXIS Receptor Network with Integrated Expression | 2026-02-14 02:06:00 | 0 | |||||
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ProGlycProt Resource Report Resource Website 1+ mentions |
ProGlycProt (RRID:SCR_000622) | ProGlycProt | data or information resource, database | Manually curated, comprehensive repository of experimentally characterized bacterial glycoproteins and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner. The database is arranged into two sections namely, ProCGP and ProUGP. ProCGP is the main section containing characterized prokaryotic glycoproteins, defined as entries with at least one experimentally known glycosylated residue (glycosite). Whereas, ProUGP is the supplementary section, presenting uncharacterized prokaryotic glycoproteins, defined as entries with experimentally identified glycosylation but unidentified glycosites. The ProGlycProt has been developed with to aid and advance the emerging scientific interests in understanding the mechanisms, implications, and novelties of protein glycosylation in prokaryotes that include many pathogenic as well as economically important bacterial species. The website supports a dedicated structure gallery of homology models and crystal structures of characterized glycoproteins in addition to two new tools developed in view of emerging information about prokaryotic sequons (conserved sequences of amino acids around glycosites) that are never or rarely seen in eukaryotic glycoproteins. ProGlycProt provides an extensive compilation of experimentally identified glycosites (334) and glycoproteins (340) of prokaryotes that could serve as an information resource for research and technology applications in glycobiology. A general data update policy is once in three months. Existing entries are updated in real-time. | glycoprotein, glycosite, glycosylation, coding gene, protein, glycosylation type, attached glycan, oligosaccharyl transferase, glycosyl transferase, glycobiology, glycosylating enzyme, glycosylation linked gene, crystal structure, homology, homology model, blast, predict, bacteria, archaea, image collection, structure, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Institute of Microbial Technology; Chandigarh; India |
Institute of Microbial Technology; Chandigarh; India OLP0063; Council of Scientific and Industrial Research; New Delhi; India SIP10AA |
PMID:22039152 | nlx_151583, biotools:proglycprot | https://bio.tools/proglycprot | SCR_000622 | Prokaryotic Glycoproteins, ProGlycProt - A Repository of Experimentally Characterized GlycoProteins of Prokaryotes | 2026-02-14 02:05:32 | 1 | |||||
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Protein-Protein Interactions Table for Human herpesvirus 1 Resource Report Resource Website |
Protein-Protein Interactions Table for Human herpesvirus 1 (RRID:SCR_000397) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. The scope of the project includes molecular information pertaining to oral pathogens, bacterial and viral. The website contains a table of protein-protein interactions for human herpesvirus 1. It is operated for the U.S. Department of Energy's National Nuclear Security Administration. | bacterial, herpesvirus 1, pathogen, protein, viral | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20905 | http://semiglobe.lanl.gov/microbe.php?class=virus | SCR_000397 | HSV1 PPI | 2026-02-14 02:05:31 | 0 | ||||||||
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eSLDB - eukaryotic Subcellular Localization database Resource Report Resource Website 1+ mentions |
eSLDB - eukaryotic Subcellular Localization database (RRID:SCR_000052) | eSLDB | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 22,2022. database of protein subcellular localization annotation for eukaryotic organisms. It contains experimental annotations derived from primary protein databases, homology based annotations and computational predictions. | proteome, protein, homology | has parent organization: University of Bologna; Bologna; Italy | European Union VI Framework Programme | PMID:17108361 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02815 | SCR_000052 | eukaryotic Subcellular Localization database | 2026-02-14 02:05:59 | 1 | |||||
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Biozon Resource Report Resource Website 1+ mentions |
Biozon (RRID:SCR_000725) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Biozon is a unified biological resource on DNA sequences, proteins, complexes and cellular pathways. It currently provides data on pairwise similarities between proteins, the domain structure of proteins, structural similarities, threading-based and profile-profile similarities between protein families. Additional information about 3D models, predicted protein-protein interactions, assignment of genes to pathways and expression data analysis, as well as local and global maps of the protein space will be gradually added to Biozon. | 3d modelprotein-protein interaction, cellular pathway, dna sequence, protein, protein complex, protein family | has parent organization: Stanford University; Stanford; California | PMID:16381854 PMID:16480510 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02613 | SCR_000725 | Biozon | 2026-02-14 02:05:33 | 4 | |||||||
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Interolog/Regulog Database Resource Report Resource Website 1+ mentions |
Interolog/Regulog Database (RRID:SCR_000755) | data or information resource, database | Interolog/Regulog quantitatively assess the degree to which interologs can be reliably transferred between species as a function of the sequence similarity of the corresponding interacting proteins. | interacting, interolog, protein, regulog, sequence, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Yale University; Connecticut; USA |
PMID:15173116 | nif-0000-20863, biotools:interolog | https://bio.tools/interolog | SCR_000755 | Interolog | 2026-02-14 02:05:33 | 2 | |||||||
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Collecting Duct Database Resource Report Resource Website |
Collecting Duct Database (RRID:SCR_000759) | CDDB | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This database is intended to serve as a learning tool to obtain curated information for the design of microarray targets to scan collecting duct tissues (human, rat, mouse). The database focuses on regulatory and transporter proteins expressed in the collecting duct, but when collecting duct proteins are a member of a larger family of proteins, common additional members of the family are included even if they have not been demonstrated to be expressed in the collecting duct. An Internet-accessible database has been devised for major collecting duct proteins involved in transport and regulation of cellular processes. The individual proteins included in this database are those culled from literature searches and from previously published studies involving cDNA arrays and serial analysis of gene expression (SAGE). Design of microarray targets for the study of kidney collecting duct tissues is facilitated by the database, which includes links to curated base pair and amino acid sequence data, relevant literature, and related databases. Use of the database is illustrated by a search for water channel proteins, aquaporins, and by a subsequent search for vasopressin receptors. Links are shown to the literature and to sequence data for human, rat, and mouse, as well as to relevant web-based resources. Extension of the database is dynamic and is done through a maintenance interface. This permits creation of new categories, updating of existing entries, and addition of new ones. CDDB is a database that organizes lists of genes found in collecting duct tissues from three mammalian species: human, rat, and mouse. Proteins are divided into categories by family relationships and functional classification, and each category is assigned a section in the database. Each section includes links to the literature and to sequence information for genes, proteins, expressed sequence tags, and related information. The user can peruse a section or use a search engine at the bottom of the web page to search the database for a name or abbreviation or for a link to a sequence. Each entry in the database includes links to relevant papers in the kidney and collecting duct literature. It uses links to PubMed to generate MEDLINE searches for retrieval of references. In addition, each entry includes links to curated sequence data available in LocusLink. Individual links are made to sequence and protein data for human, rat, and mouse. Links are then added as curated sequences become available for proteins identified in the renal collecting duct and for proteins identified in kidney and similar in function or homologous to proteins identified in the collecting duct. | expressed sequence tag, expression, family, functional, gene, aquaporin, array, cdna, classification, collecting duct, homologous, human, kidney, literature, mammal, mammalian, microarray, mouse, protein, protein localization and targeting databases, rat, receptor, regulatory, relationship, scan, serial analysis, specie, target, tissue, transporter, vasopressin, water channel protein | has parent organization: National Institutes of Health | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21078 | SCR_000759 | Collecting Duct Database | 2026-02-14 02:06:02 | 0 | |||||||
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MINT Resource Report Resource Website 1000+ mentions |
MINT (RRID:SCR_001523) | MINT | data or information resource, database | A database that focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. The curated data can be analyzed in the context of the high throughput data and viewed graphically with the MINT Viewer. This collection of molecular interaction databases can be used to search for, analyze and graphically display molecular interaction networks and pathways from a wide variety of species. MINT is comprised of separate database components. HomoMINT, is an inferred human protein interatction database. Domino, is database of domain peptide interactions. VirusMINT explores the interactions of viral proteins with human proteins. The MINT connect viewer allows you to enter a list of proteins (e.g. proteins in a pathway) to retrieve, display and download a network with all the interactions connecting them. | protein-protein interaction, protein, interaction, virus, peptide, organelle co-localization, pathway, molecular interaction, papillomavirus, epstein-barr virus, hepatitis b virus, hepatitis c virus, human adenovirus, human herpesvirus, human immunodeficiency virus, influenza a virus, vaccinia virus, simian virus 40, virus strains, virus protein, orthologous protein, network, proteomics, ortholog, FASEB list |
uses: IntAct uses: PSI-MI is listed by: re3data.org is affiliated with: 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: Pathway Commons is related to: ConsensusPathDB is related to: VirusMINT is related to: PSICQUIC Registry is related to: Agile Protein Interactomes DataServer has parent organization: University of Rome Tor Vergata; Rome; Italy works with: IMEx - The International Molecular Exchange Consortium |
European Union ; ENFIN ; Interaction Proteome Project ; IMEx - The International Molecular Exchange Consortium ; HUPO Proteomics Standards Initiative ; AIRC Associazione Italiana per la Ricerca sul Cancro |
PMID:22096227 PMID:24234451 PMID:19897547 PMID:18592188 PMID:18551417 PMID:18428712 PMID:17135203 PMID:11911893 |
nlx_152821, r3d100010414 | https://doi.org/10.17616/R38S3B | SCR_001523 | MINT, the Molecular INTeraction database, Molecular Interactions Database, Molecular INTeraction database, MINT - the Molecular INTeraction database | 2026-02-14 02:05:45 | 1109 | |||||
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BioSample Database at EBI Resource Report Resource Website 10+ mentions |
BioSample Database at EBI (RRID:SCR_004856) | BioSD | data or information resource, database | Database that aggregates sample information for reference samples (e.g. Coriell Cell lines) and samples for which data exist in one of the EBI''''s assay databases such as ArrayExpress, the European Nucleotide Archive or PRoteomics Identificates DatabasE. It provides links to assays for specific samples, and accepts direct submissions of sample information. The goals of the BioSample Database include: # recording and linking of sample information consistently within EBI databases such as ENA, ArrayExpress and PRIDE; # minimizing data entry efforts for EBI database submitters by enabling submitting sample descriptions once and referencing them later in data submissions to assay databases and # supporting cross database queries by sample characteristics. The database includes a growing set of reference samples, such as cell lines, which are repeatedly used in experiments and can be easily referenced from any database by their accession numbers. Accession numbers for the reference samples will be exchanged with a similar database at NCBI. The samples in the database can be queried by their attributes, such as sample types, disease names or sample providers. A simple tab-delimited format facilitates submissions of sample information to the database, initially via email to biosamples (at) ebi.ac.uk. Current data sources: * European Nucleotide Archive (424,811 samples) * PRIDE (17,001 samples) * ArrayExpress (1,187,884 samples) * ENCODE cell lines (119 samples) * CORIELL cell lines (27,002 samples) * Thousand Genome (2,628 samples) * HapMap (1,417 samples) * IMSR (248,660 samples) | cell line, cell, nucleotide, sequencing, proteomics, peptide, protein, genomics, gene expression, biological sample, molecular, sequence, structure, cell line, topical portal, aggregator, gold standard, bio.tools |
uses: European Nucleotide Archive (ENA) uses: Proteomics Identifications (PRIDE) uses: ArrayExpress uses: ENCODE uses: Coriell Institute for Medical Research uses: 1000 Genomes: A Deep Catalog of Human Genetic Variation uses: International HapMap Project uses: International Mouse Strain Resource is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: NCBI BioSample has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory; Heidelberg; Germany ; European Union FP7 HEALTH-F4-2010-241669; European Union FP7 HEALTH-F4-2007-201413 |
PMID:22096232 | The community can contribute to this resource, Acknowledgement requested | biotools:biosamples, r3d100012628, nlx_143930, OMICS_01025 | https://bio.tools/biosamples https://doi.org/10.17616/R37R3P |
SCR_004856 | BioSamples database, BioSamples, BioSamples Database at EBI, BioSample Database at the EBI, EBI BioSample Database, BioSample Database, BioSD at EBI, BioSD - BioSample Database | 2026-02-14 02:05:54 | 14 | ||||
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Sys-BodyFluid Resource Report Resource Website 1+ mentions |
Sys-BodyFluid (RRID:SCR_005335) | data or information resource, database | A database of bodily fluid proteome data. It contains information on proteins from humanplasma/serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, seminal fluid, human milk, and amniotic fluid. Our body fluid protein database, Sys-BodyFluid, contains 11 body fluid proteomes, including plasma/serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, seminal fluid, human milk, and amniotic fluid. Over 10,000 proteins are included in the Sys-BodyFluid. These body fluid proteome data come from 50 peer-review publications of different laboratories all over the world. Protein annotation are provided including protein description, Gene ontology, Domain information, Protein sequence and involved pathway. User can access the proteome data by protein name, protein accession number, sequence similarity. In addition, user could perform query cross different body fluids to get more comprehensive understanding. The difference and similarity between these 11 body fluids are also analyzed. Thus , the Sys-BodyFluid database could serve as a reference database for body fluid research and disease proteomics. plasm, serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, seminal fluid, human milk, and amniotic fluid, protein, proteomics | bronchoalveolar lavage fluid, cerebrospinal fluid, human milk, nipple aspirate fluid, plasm, protein, proteomics, saliva, seminal fluid, serum, synovial fluid, tear fluid, urine | has parent organization: Shandong University; Shandong; China | nif-0000-03526 | SCR_005335 | Sys-BodyFluid | 2026-02-14 02:05:52 | 3 | |||||||||
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Structure Superposition Database Resource Report Resource Website 1+ mentions |
Structure Superposition Database (RRID:SCR_005236) | data or information resource, database | The SSD has been developed to address the need for resources and tools for understanding large sets of superpositions in order to understand evolutionary relationships and to make predictions of function. We have therefore created the Structure Superposition Database (SSD) for accessing, viewing and understanding large sets of structure superposition data. It contains the results of pairwise, all-by-all superpositions of a representative set of 115 (beta/alpha) barrel structures (TIM barrels). The initial implementation of the SSD contains the results of pairwise, all-by-all superpositions of a representative set of 115 (/alpha)8 barrel structures (TIM barrels). Future plans call for extending the database to include representative structure superpositions for many additional folds. The SSD can be browsed with a user interface module developed as an extension to Chimera, an extensible molecular modeling program. Features of the user interface module facilitate viewing multiple superpositions together. | alpha barrel structure, barrel structure, beta barrel structure, protein, quaternary structure, structure superposition | nif-0000-03504 | SCR_005236 | SSD | 2026-02-14 02:06:26 | 2 | ||||||||||
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TranspoGene Resource Report Resource Website 1+ mentions |
TranspoGene (RRID:SCR_005634) | data or information resource, database | A publicly available database of Transposed elements (TEs) which are located within protein-coding genes of 7 organisms: human, mouse, chicken, zebrafish, fruilt fly, nematode and sea squirt. Using TranspoGene the user can learn about the many aspects of the effect these TEs have on their hosting genes, such as: exonization events (including alternative splicing-related data), insertion of TEs into introns, exons, and promoters, specific location of the TE over the gene, evolutionary divergence of the TE from its consensus sequence and involvement in diseases. TranspoGene database is quickly searchable through its website, enables many kinds of searches and is available for download. TranspoGene contains information regarding specific type and family of the TEs, genomic and mRNA location, sequence, supporting transcript accession and alignment to the TE consensus sequence. The database also contains host gene specific data: gene name, genomic location, Swiss-Prot and RefSeq accessions, diseases associated with the gene and splicing pattern. The TranspoGene and microTranspoGene databases can be used by researchers interested in the effect of TE insertion on the eukaryotic transcriptome. | element, eukaryotic, evolutionary, exon, exonization, family, fruit fly, gene, genome, alternative, chicken, coding, disease, divergence, genomic, hosting, human, human genome databases, intron, location, map, maps, mouse, mrna, nematode, organism, pattern, promoter, protein, sea squirt, sequence, splicing, transcript, transcriptome, transposed, viewers, worm, zebrafish | has parent organization: Tel Aviv University; Ramat Aviv; Israel | nif-0000-03579 | SCR_005634 | TranspoGene | 2026-02-14 02:06:29 | 9 |
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