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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Eukaryotic Linear Motif Resource Report Resource Website 100+ mentions |
Eukaryotic Linear Motif (RRID:SCR_003085) | ELM | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Computational biology resource for investigating candidate functional sites in eukarytic proteins. Functional sites which fit to the description linear motif are currently specified as patterns using Regular Expression rules. To improve the predictive power, context-based rules and logical filters are being developed and applied to reduce the amount of false positives. The current version of the ELM server provides core functionality including filtering by cell compartment, phylogeny, globular domain clash (using the SMART/Pfam databases) and structure. In addition, both the known ELM instances and any positionally conserved matches in sequences similar to ELM instance sequences are identified and displayed (see ELM instance mapper). Although the ELM resource contains a large collection of functional site motifs, the current set of motifs is not exhaustive. | linear motif, regulatory protein, motif, protein sequence, functional site, prediction, disease, virus, cell compartment, phylogeny, globular domain clash, structure, protein, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is related to: SMART is related to: Pfam has parent organization: European Molecular Biology Laboratory |
EMBL international PhD program ; EMBL Interdisciplinary PostDoc fellowship ; Federal Government Department of Education and Science FKZ01GS0862; European Community Seventh Framework Programme FP7/2009 241955; European Community Seventh Framework Programme FP7/2009 242129; Polish Ministry of Science and Higher Education IP2010-0483-70; Biotechnology and Biological Sciences Research Council BB/F010486/1; Region Alsace and College Doctoral Europeen ; Science Foundation Ireland 08/IN.1/B1864; BBSRC BB/I006230/1; German Research Foundation SFB796; Swiss National Science Foundation |
PMID:22110040 | Free, Available for download, Freely available | biotools:elm, nif-0000-30486 | https://bio.tools/elm | SCR_003085 | Eukarotic Linear Motif resource for Functional Sites in Proteins | 2026-09-19 12:50:11 | 325 | ||||
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DGAP Resource Report Resource Website 1+ mentions |
DGAP (RRID:SCR_003036) | DGAP | data or information resource, database, experimental protocol, narrative resource, resource | Produce resources to unravel the interface between insulin action, insulin resistance and the genetics of type 2 diabetes including an annotated public database, standardized protocols for gene expression and proteomic analysis, and ultimately diabetes-specific and insulin action-specific DNA chips for investigators in the field. The project aims to identify the sets of the genes involved in insulin action and the predisposition to type 2 diabetes, as well as the secondary changes in gene expression that occur in response to the metabolic abnormalities present in diabetes. There are five major and one pilot project involving human and rodent tissues that are designed to: * Create a database of the genes expressed in insulin-responsive tissues, as well as accessible tissues, that are regulated by insulin, insulin resistance and diabetes. * Assess levels and patterns of gene expression in each tissue before and after insulin stimulation in normal and genetically-modified rodents; normal, insulin resistant and diabetic humans, and in cultured and freshly isolated cell models. * Correlate the level and patterns of expression at the mRNA and/or protein level with the genetic and metabolic phenotype of the animal or cell. * Generate genomic sequence from a panel of humans with type 2 diabetes focusing on the genes most highly regulated by insulin and diabetes to determine the range of sequence and expression variation in these genes and the proteins they encode, which might affect the risk of diabetes or insulin resistance. The DGAP project will define: * the normal anatomy of gene expression, i.e. basal levels of expression and response to insulin. * the morbid anatomy of gene expression, i.e., the impact of diabetes on expression patterns and the insulin response. * the extent to which genetic variability might contribute to the alterations in expression or to diabetes itself. | gene, insulin action, predisposition, gene expression, metabolic abnormality, diabetes, insulin resistance, genetics, insulin, genetic variation, proteomics, genomics, affymetrix oligonucleotide array, microarray, protein, genomic sequence, data set |
is related to: NIDDK Information Network (dkNET) has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: Broad Institute has parent organization: Dana-Farber Cancer Institute has parent organization: University of Massachusetts Medical School; Massachusetts; USA has parent organization: University of Southern Denmark; Odense; Denmark |
Type 2 diabetes, Normal, Insulin resistance | NIDDK | PMID:19786482 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30414 | SCR_003036 | The Diabetes Genome Anatomy Project, Diabetes Genome Anatomy Project | 2026-09-19 12:50:10 | 9 | ||||
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DaliLite Pairwise comparison of protein structures Resource Report Resource Website 50+ mentions |
DaliLite Pairwise comparison of protein structures (RRID:SCR_003047) | DaliLite | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | Tool that computes optimal and suboptimal structural alignments between two protein structures. It will compare all chains in the first structure against all chains in the second (unless specific chain IDs are given). The resulting superimposed coordinate files can be downloaded or viewed interactively in Jmol. The Dali method optimizes a weighted sum of similarities of intramolecular distances. Suboptimal alignments do not overlap the optimal alignment or each other. Suboptimal alignments detected by the program are reported if the Z-score is above 2; they may be of interest if there are internal repeats in either structure. SOAP Web services are also available. | pairwise alignment, protein structure, alignment, protein, structure | has parent organization: European Bioinformatics Institute | PMID:10980157 | Free, Freely available | nif-0000-30431 | SCR_003047 | DaliLite - Pairwise alignment of protein structures | 2026-09-19 12:50:10 | 59 | ||||||
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PlantLoc Resource Report Resource Website 1+ mentions |
PlantLoc (RRID:SCR_003138) | PlantLoc | analysis service resource, data analysis service, production service resource, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4,2023. An accurate web server for predicting plant protein subcellular localization by substantiality motif. | subcellular localization, protein |
is listed by: OMICtools has parent organization: Tongji University; Shanghai; China |
PMID:23729470 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01632 | SCR_003138 | PlantLoc: Plant Proteins Subcellular Localization Prediction Server | 2026-09-19 12:50:12 | 4 | ||||||
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MetaLocGramN Resource Report Resource Website 1+ mentions |
MetaLocGramN (RRID:SCR_003154) | MetaLocGramN | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.A tool for subcellular localization prediction of Gram-negative proteins. You can also use MetaGramLocN via SOAP. SOAP enables you to invoke our method from scripts written in your programming language of choice. | subcellular localization, protein, prediction, sequence, analysis, gram-negative protein, gram-negative, gram-negative bacteria |
is listed by: OMICtools is related to: Biocatalogue - The Life Science Web Services Registry has parent organization: International Institute of Molecular and Cell Biology; Warsaw; Poland |
PMID:22705560 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01626 | SCR_003154 | 2026-09-19 12:50:13 | 3 | |||||||
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HUPO Proteomics Standards Initiative Resource Report Resource Website 10+ mentions |
HUPO Proteomics Standards Initiative (RRID:SCR_003158) | HUPO PSI | controlled vocabulary, data or information resource, knowledge environment, meeting resource, narrative resource, ontology, standard specification, training resource | Initiative to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. The main organizational unit is the work group, with a Gel Electrophoresis (GEL) work group, a Mass Spectrometry (MS) work group, a Molecular Interactions (MI) work group, a Protein Modifications (MOD) work group, a Proteomics Informatics (PI) work group, and a Sample Processing (SP) work group. The Gel Electrophoresis (GEL) work group aims to develop reporting requirements that supplement the Minimum Information About a Proteomics Experiment (MIAPE) parent document, describing the minimum information that should be reported about gel-based experimental techniques used in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about gel electrophoresis and informatics performed on gel images. The Mass Spectrometry Standards Working Group defines community data formats and controlled vocabulary terms facilitating data exchange and archiving in the field of proteomics mass spectrometry. A past achievement is the mzData standard, which captures mass spectrometry output data. mzData's aim is to unite the large number of current formats (pkl's, dta's, mgf's, .....) into a single format. mzData has been released but is now deprecated in favor of mzML. The Molecular Interactions workgroup is concentrating on improving the annotation and representation of molecular interaction data wherever it is published, be this in journal articles, authors web-sites or public domain databases; and improving the accessibility of molecular interaction data to the user community. By using a common standard data can be downloaded from multiple sources and easily combined using a single parser. The protein modification workgroup focuses on developing a consensus nomenclature and provide an ontology reconciling in a hierarchical representation the complementary descriptions of residue modifications. The protein modification ontology (PSI-MOD) is available in OBO format or in OBO.xml. A spreadsheet containing the mapping of the descriptive labels used in various databases and search engines, the consensus list of proposed short name for protein modifications established by collaborative effort of mass spectrometry community, and the proposed rules and recommendations for this nomenclature are available. These short names are included in the ontology as synonyms of the corresponding terms. The Proteomics Informatics Standards Group (PSI-PI) goals are to provide a set of minimal reporting requirements which augment the MIAPE reporting guidelines with respect to analysis of data derived from proteomics experiments; to provide vendor-neutral and standard formats for representing results of analyzing and processing experimental data; to foster adoption of the format by highlighting efforts made by vendors and individuals that utilize the format in their products. The remit of the Sample Processing Working Group is to produce reporting guidelines, data exchange formats and controlled vocabulary covering all separation techniques not considered to be "classical" one- or two-dimensional gel electrophoresis (cf. the Gel WG home page), along with other kinds of sample handling and processing (for example, "tagging" proteins or peptides, splitting, combining and storing samples). Where possible we seek to develop our products in collaboration with all proteomics stakeholders and, where relevant, developers from other standards communities, most notably metabolomics. * Minimum reporting requirements: The evolving Minimum Information About a Proteomics Experiment (MIAPE) documents offer guidelines on how to adequately report a proteomics experiment. It is expected that these documents will be published, and that the requirements within will be enforced by journals, compliant repositories and funders (cf. MIAME). * XML formats for data exchange: Derived from the FuGE general object model, the formats developed by this workgroup are designed to function both as standalone files and as part of a "parent" FuGE-ML document. These formats will facilitate data exchange between researchers, and submission to repositories or journals. * Controlled vocabularies (CVs) and ontology: Lists of clearly defined terms are crucial for the construction of unambiguously worded data files. In addition to providing supporting CVs for the individual data capture formats as part of the integrated PSI CV, the Sample Processing WG will contribute terms to the Functional Genomics Ontology (FuGO). | proteomics, work group, gel electrophoresis, mass spectrometry, molecular interaction, protein modification, proteomics informatics, sample processing, controlled vocabulary, miape, transcriptome, metabolome, proteome, metadata, mass spectrometry informatics, community standards, annotation system, protein-protein interaction, protein, data format, annotation, minimal reporting requirement, nomenclature, reporting guideline, data exchange format, ontology development, rdf development, FASEB list |
is listed by: OMICtools is related to: Proteomics Identifications (PRIDE) has parent organization: HUPO - Human Proteome Organisation is parent organization of: Mass Spectrometry Ontology is parent organization of: mzML is parent organization of: PSICQUIC Registry is parent organization of: Protein-Protein Interaction Ontology is parent organization of: Sample Processing and Separation Techniques Ontology |
Free, Freely available | nif-0000-00568, OMICS_01781 | SCR_003158 | The HUPO Proteomics Standards Initiative | 2026-09-19 12:50:13 | 46 | |||||||
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Rockland Immunochemicals Resource Report Resource Website 50+ mentions |
Rockland Immunochemicals (RRID:SCR_003278) | Rockland | commercial organization | A global biotechnology company manufacturing research tools, antibodies, and cGMP grade protein. | cancer, cardiovascular, cell biology, chromatin, nuclear signaling, developmental biology, epigenetics, immunology, protein, peptide, blood, blood product, cell lysate, stem cell, assay | Free, Freely available | nlx_152452, nif-0000-31467 | SCR_003278 | Rockland Immunochemicals Inc., Rockland antibodies & assays, Rockland antibodies and assays | 2026-09-19 12:50:16 | 54 | ||||||||
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ORFprimer Resource Report Resource Website 1+ mentions |
ORFprimer (RRID:SCR_003269) | ORFprimer | software resource | An extended software package for high throughput PCR primer design for biological sequences. It reads the NCBI GenBank XML sequence format and extracts open reading frames for proteins. Sequences can be requested by GI or accession number. | java, java swing, open reading frame, protein, high throughput sequencing, primer, primer design, pcr, pcr primer design |
is listed by: OMICtools has parent organization: SourceForge |
Free, Available for download, Freely available | OMICS_02331 | SCR_003269 | ORFprimer - primer design for ORFs | 2026-09-19 12:50:19 | 1 | |||||||
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NESbase Resource Report Resource Website 1+ mentions |
NESbase (RRID:SCR_003268) | NESbase | data or information resource, data repository, database, service resource, storage service resource | Database of proteins in which the presence of Leucine-rich nuclear export signal (NES) has been experimentally verified. It is curated from literature. Each NESbase entry contains information of whether NES was shown to be necessary and/or sufficient for export, and whether the export was shown to be mediated by the export receptor CRM1. The compiled information was used to make a sequence logo of the Leucine-rich NESs, displaying the conservation of amino acids within a window of 25 residues. Error reports and submissions of new data are most welcome! | nuclear export signal, protein, leucine | has parent organization: DTU Center for Biological Sequence Analysis | Danish National Research Foundation ; John and Birthe Meyer Foundation |
PMID:12520031 | Free, Available for download, Freely available | nif-0000-03188 | https://services.healthtech.dtu.dk/datasets/NESbase-1.0/ | SCR_003268 | 2026-09-19 12:50:15 | 7 | |||||
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BrainTrap: Fly Brain Protein Trap Database Resource Report Resource Website 1+ mentions |
BrainTrap: Fly Brain Protein Trap Database (RRID:SCR_003398) | BrainTrap | d spatial image, data or information resource, database | This database contains information on protein expression in the Drosophila melanogaster brain. It consists of a collection of 3D confocal datasets taken from EYFP expressing protein trap Drosophila lines from the Cambridge Protein Trap project. Currently there are 884 brain scans from 535 protein trap lines in the database. Drosophila protein trap strains were generated by the St Johnston Lab and the Russell Lab at the University of Cambridge, UK. The piggyBac insertion method was used to insert constructs containing splice acceptor and donor sites, StrepII and FLAG affinity purification tags, and an EYFP exon (Venus). Brain images were acquired by Seymour Knowles-Barley, in the Armstrong Lab at the University of Edinburgh. Whole brain mounts were imaged by confocal microscopy, with a background immunohistochemical label added to aid the identification of brain structures. Additional immunohistochemical labeling of the EYFP protein using an anti-GFP antibody was also used in most cases. The trapped protein signal (EYFP / anti-GFP), background signal (NC82 label), and the merged signal can be viewed on the website by using the corresponding channel buttons. In all images the trapped protein / EYFP signal appears green and the background / NC82 channel appears magenta. Original .lsm image files are also available for download. | brain, exon, expression, 3d confocal, affinity, antibody, dataset, immunohistochemical, microscopy, image, protein, protein-trap, gene | has parent organization: University of Edinburgh; Scotland; United Kingdom | EPSRC ; British society for Developmental Biology ; Society for Experimental Biology ; Virtual Fly Brain e-Science Institute Theme ; BBSRC ; MRC |
PMID:20624714 | Free, Freely available | nif-0000-32989 | http://fruitfly.inf.ed.ac.uk/braintrap/ | SCR_003398 | Fly Brain Protein Trap Database, Brain Trap | 2026-09-19 12:50:19 | 1 | ||||
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Glioma Molecular Dignostic Initiatives Resource Report Resource Website 10+ mentions |
Glioma Molecular Dignostic Initiatives (RRID:SCR_003329) | GMDI | controlled vocabulary, data or information resource, data repository, narrative resource, service resource, standard specification, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. An initiative to develop a molecular classification schema that is both clinically and biologically meaningful, based on gene expression and genomic data from tumors (Gliomas) of patients who will be prospectively followed through natural history and treatment phase of their illness. The study will also explore gene expression profiles to determine the responsiveness of the patients and correlate with discrete chromosomal abnormalities. The initiative was designed to obtain a large amount of molecular data on DNA and RNA of freshly collected tumor samples that were collected, processed and analyzed in a standardized fashion to allow for large-scale cross sample analysis. The sample collection is accompanied by careful and prospective clinical data acquisition, allowing a variety of matched molecular and clinical data permitting a wide variety of analyses. GMDI has accrued fresh frozen tumors in the retrospective phase (all from the Henry Ford Hospital, without germline DNA) and fresh frozen tumors in the prospective phase (from a variety of institutions). In addition to characterizing the samples from patients enrolled in GMDI, the microarray group has generated genomic-scale analyses of the many human and canine glioma initiating cells/glioma stem cells (GIC/GSC) lines, as well as many canine and murine normal neural stem cell (NSC) lines produced in laboratory. | molecular neuroanatomy resource, molecular data, clinical data, genomic analyses, genomics, gene, expression array, snp array, gene expression, microarray, glioma initiating cell, glioma stem cell, protein, glioma, molecular, diagnostic, dna, rna, tumor, tissue, blood, plasma, data repository |
is listed by: One Mind Biospecimen Bank Listing is related to: Repository of molecular brain neoplasia data has parent organization: National Cancer Institute |
Glioma, Brain cancer, Brain tumor | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31950 | http://search.engrant.com/project/NxvG9G/the_glioma_molecular_diagnostic_initiative_characterizing_brain_tumor_data | SCR_003329 | Glioma Molecular Diagnostic Initiative: Characterizing Brain Tumor Data | 2026-09-19 12:50:17 | 20 | ||||
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Nuclear Receptor Resource Resource Report Resource Website 1+ mentions |
Nuclear Receptor Resource (RRID:SCR_003285) | NRR | data or information resource, database, resource | Collection of individual databases on members of the steroid and thyroid hormone receptor superfamily. Although the databases are located on different servers and are managed individually, they each form a node of the NRR. The NRR itself integrates the separate databases and allows an interactive forum for the dissemination of information about the superfamily. NRR Components: Androgen receptor, Estrogen receptor, Glucocorticoid receptor, Peroxisome proliferator, Steroid receptor protein, Thyroid receptor, Vitamin D receptor. | nuclear receptor, androgen receptor, estrogen receptor, glucocorticoid receptor, peroxisome proliferator, steroid receptor protein, thyroid receptor, vitamin d receptor, androgen, estrogen, glucocorticoid, peroxisome, steroid, thyroid hormone, vitamin d, mineralocorticoid receptor, mineralocorticoid, protein, structure, function |
is related to: NIDDK Information Network (dkNET) has parent organization: Georgetown University; Washington D.C.; USA |
NIDDK R01DK43382; NIDDK K04 DK02105 |
PMID:9471621 PMID:9016529 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03205 | http://nrr.georgetown.edu/NRR/nrrhome.htm | SCR_003285 | Nuclear Receptor Resource Project, NRR Project, Nuclear Receptor Resource (NRR) Project | 2026-09-19 12:50:16 | 1 | ||||
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ProbeMatchDB 2.0 Resource Report Resource Website |
ProbeMatchDB 2.0 (RRID:SCR_003433) | ProbeMatchDB | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Matches a list of microarray probes across different microrarray platforms (GeneChip, EST from different vendors, Operon Oligos) and species (human, mouse and rat), based on NCBI UniGene and HomoloGene. The capability to match protein sequence IDs has just been added to facilitate proteomic studies. The ProbeMatchDB is mainly used for the design of verification experiments or comparing the microarray results from different platforms. It can be used for finding equivalent EST clones in the Research Genetics sequence verified clone set based on results from Affymetirx GeneChips. It will also help to identify probes representing orthologous genes across human, mouse and rat on different microarray platforms. | experiment, human, microarray, mouse, oligo, operon, platform, probe, protein, proteomic, rate, sequence, study, gene, est, cdna, sts marker, orthologous gene, ortholog, microarray probe, nucleotide sequence |
is related to: UniGene is related to: HomoloGene has parent organization: University of Michigan; Ann Arbor; USA |
University of Michigan Microarray Network ; Nancy Pritzker Depression Research Network ; Department of Psychiatry pilot study ; NIMH L99 MH60398; NIDA R21 DA13754-01 |
PMID:11934751 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33156 | SCR_003433 | 2026-09-19 12:50:19 | 0 | ||||||
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PROSITE Resource Report Resource Website 1000+ mentions |
PROSITE (RRID:SCR_003457) | PROSITE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of protein families and domains that is based on the observation that, while there is a huge number of different proteins, most of them can be grouped, on the basis of similarities in their sequences, into a limited number of families. Proteins or protein domains belonging to a particular family generally share functional attributes and are derived from a common ancestor. It is complemented by ProRule, a collection of rules based on profiles and patterns, which increases the discriminatory power of profiles and patterns by providing additional information about functionally and/or structurally critical amino acids. ScanProsite finds matches of your protein sequences to PROSITE signatures. PROSITE currently contains patterns and profiles specific for more than a thousand protein families or domains. Each of these signatures comes with documentation providing background information on the structure and function of these proteins. The database is available via FTP. | protein domain, protein family, functional site, protein, structure, function, pattern, profile |
is listed by: OMICtools has parent organization: SIB Swiss Institute of Bioinformatics |
Swiss Federal government through the Federal Office of Education and Science ; European Union contract FELICS 021902RII3; European Union contract IMPACT 213037; FNS 315200-116864 |
PMID:23161676 PMID:19858104 PMID:12230035 |
Free, Freely available | OMICS_01699, nif-0000-03351 | http://www.expasy.org/prosite, http://www.expasy.ch/prosite/ | SCR_003457 | PROSITE - Database of protein domains families and functional sites | 2026-09-19 12:50:21 | 2341 | ||||
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Protein Structure Initiative Resource Report Resource Website |
Protein Structure Initiative (RRID:SCR_002161) | data or information resource, portal, topical portal | The Structural Genomics Project aims at determination of the 3D structure of all proteins. It also aims to reduce the cost and time required to determine three-dimensional protein structures. It supports selection, registration, and tracking of protein families and representative targets. This aim can be achieved in four steps : -Organize known protein sequences into families. -Select family representatives as targets. -Solve the 3D structure of targets by X-ray crystallography or NMR spectroscopy. -Build models for other proteins by homology to solved 3D structures. PSI has established a high-throughput structure determination pipeline focused on eukaryotic proteins. NMR spectroscopy is an integral part of this pipeline, both as a method for structure determinations and as a means for screening proteins for stable structure. Because computational approaches have estimated that many eukaryotic proteins are highly disordered, about 1 year into the project, CESG began to use an algorithm. The project has been organized into two separate phases. The first phase was dedicated to demonstrating the feasibility of high-throughput structure determination, solving unique protein structures, and preparing for a subsequent production phase. The second phase, PSI-2, has focused on implementing the high-throughput structure determination methods developed in PSI-1, as well as homology modeling and addressing bottlenecks like modeling membrane proteins. The first phase of the Protein Structure Initiative (PSI-1) saw the establishment of nine pilot centers focusing on structural genomics studies of a range of organisms, including Arabidopsis thaliana, Caenorhabditis elegans and Mycobacterium tuberculosis. During this five-year period over 1,100 protein structures were determined, over 700 of which were classified as unique due to their < 30% sequence similarity with other known protein structures. The primary goal of PSI-1 was to develop methods to streamline the structure determination process, resulted in an array of technical advances. Several methods developed during PSI-1 enhanced expression of recombinant proteins in systems like Escherichia coli, Pichia pastoris and insect cell lines. New streamlined approaches to cell cloning, expression and protein purification were also introduced, in which robotics and software platforms were integrated into the protein production pipeline to minimize required manpower, increase speed, and lower costs. The goal of the second phase of the Protein Structure Initiative (PSI-2) is to use methods introduced in PSI-1 to determine a large number of proteins and continue development in streamlining the structural genomics pipeline. Currently, the third phase of the PSI is being developed and will be called PSI: Biology. The consortia will propose work on substantial biological problems that can benefit from the determination of many protein structures Sponsors: PSI is funded by the U.S. National Institute of General Medical Sciences (NIGMS), | elegans, escherichia, eukaryotic, expression, arabidopsis, biology, bottleneck, caenorhabditis, cell, clone, coli, crystallography, genomic, homology, insect, membrane, myobacterium, nmr, organism, pastoris, pichia, protein, purification, sequence, spectroscopy, structural, structure, thaliana, tuberculosis, x-ray | nif-0000-20950 | SCR_002161 | PSI | 2026-09-19 12:49:53 | 0 | ||||||||||
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PROVEAN Resource Report Resource Website 1000+ mentions |
PROVEAN (RRID:SCR_002182) | PROVEAN | analysis service resource, data analysis service, production service resource, service resource, software resource | A software tool which predicts whether an amino acid substitution or indel has an impact on the biological function of a protein. | amino acid substitution, indel, function, protein, amino acid, substitution, protein variant, genome variant, next-generation sequencing, insertion, deletion |
is listed by: OMICtools has parent organization: J. Craig Venter Institute |
NIH ; NHGRI 5R01HG004701-04 |
PMID:23056405 | Free, Available for download, Freely available | OMICS_01849 | SCR_002182 | Protein Variation Effect Analyzer | 2026-09-19 12:49:54 | 2380 | |||||
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Autosomal Recessive Polycystic Kidney Disease Mutation Database Resource Report Resource Website 10+ mentions |
Autosomal Recessive Polycystic Kidney Disease Mutation Database (RRID:SCR_002290) | data or information resource, data repository, database, service resource, storage service resource | Catalog of all changes detected in PKHD1 (Polycystic Kidney and Hepatic Disease 1) in a locus specific database. Investigators are invited to submit their novel data to this database. These data should be meaningful for clinical practice as well as of relevance for the reader interested in molecular aspects of polycystic kidney disease (PKD). There are also some links and information for ARPKD patients and their parents. Autosomal recessive polycystic kidney disease (ARPKD/PKHD1) is an important cause of renal-related and liver-related morbidity and mortality in childhood. This study reports mutation screening in 90 ARPKD patients and identifies mutations in 110 alleles making up a detection rate of 61%. Thirty-four of the detected mutations have not been reported previously. Two underlying mutations in 40 patients and one mutation in 30 cases are disclosed, and no mutation was detected on the remaining chromosomes. Mutations were found to be scattered throughout the gene without evidence of clustering at specific sites. PKHD1 mutation analysis is a powerful tool to establish the molecular cause of ARPKD in a given family. Direct identification of mutations allows an unequivocal diagnosis and accurate genetic counseling even in families displaying diagnostic challenges. | clinical, gene, genetic, mutation, protein, recessive, renal | has parent organization: RWTH Aachen University; Aachen; Germany | Autosomal recessive polycystic kidney disease, Polycystic kidney disease | PMID:16199545 PMID:11919560 |
Permission required, Terms of use | nif-0000-21038 | http://www.humgen.rwth-aachen.de/index.asp?subform=database.html&nav=database_nav.html | SCR_002290 | Mutation Database Autosomal Recessive Polycystic Kidney Disease (ARPKD/PKHD1) | 2026-09-19 12:49:58 | 14 | |||||
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Community Structure-Activity Resource Resource Report Resource Website 10+ mentions |
Community Structure-Activity Resource (RRID:SCR_002206) | CSAR | data or information resource, data repository, data set, service resource, storage service resource | Experimental datasets of crystal structures and binding affinities for diverse protein-ligand complexes. Some datasets are generated in house while others are collected from the literature or deposited by academic labs, national centers, and the pharmaceutical industry. For the community to improve their approaches, they need exceptional datasets to train scoring functions and develop new docking algorithms. They aim to provide the highest quality data for a diverse collection of proteins and small molecule ligands. They need input from the community in developing target priorities. Ideal targets will have many high-quality crystal structures (apo and 10-20 bound to diverse ligands) and affinity data for 25 compounds that range in size, scaffold, and logP. It is best if the ligand set has several congeneric series that span a broad range of affinity, with low nanomolar to mid-micromolar being most desirable. They prefer Kd data over Ki data over IC50 data (no % activity data). They will determine solubility, pKa, logP/logD data for the ligands whenever possible. They have augmented some donated IC50 data by determining Kon/Koff and ITC data. | crystal structure, binding affinity, protein-ligand complex, protein, small molecule, ligand, compound |
is used by: NIF Data Federation is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of Michigan; Ann Arbor; USA |
NIGMS | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154720 | SCR_002206 | 2026-09-19 12:49:54 | 16 | |||||||
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ConSurf Database Resource Report Resource Website 100+ mentions |
ConSurf Database (RRID:SCR_002320) | ConSurfDB | data or information resource, database, service resource | Provides pre-calculated evolutionary conservation profiles for proteins of known structure in the PDB. Enables flexibility in setting the parameters of the calculation, and accepts optional uploads of atomic coordinates, multiple sequence alignments, and phylogenetic trees for use in the calculation of conservation profiles. | PDB, Protein DataBase, evolution, conservation, protein, structure, pre-calculated, profile, FASEB list |
is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Tel Aviv University; Ramat Aviv; Israel |
Tel Aviv University; Ramat Aviv; Israel | PMID:20478830 PMID:15980475 PMID:12499312 PMID:11243830 |
Free, Freely available | nif-0000-21098, SCR_007609, BioTools:consurf-db, nif-0000-02685 | http://bental.tau.ac.il/new_ConSurfDB/, https://bio.tools/consurf-db | http://consurf-hssp.tau.ac.il | SCR_002320 | , consurf-db, ConSurf-DataBase, ConSurf-DB, ConSurfDB, ConSurf Server Database, ConSurfDataBase, ConSurf- Data Base | 2026-09-19 12:49:58 | 318 | |||
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glycosciences.de Resource Report Resource Website 10+ mentions |
glycosciences.de (RRID:SCR_002324) | GLYCOSCIENCES.de | data or information resource, database, portal, topical portal | Portal of glycoinformatics resources including databases and bioinformatics tools for glycobiology and glycomics research. Databases include a bibliography, structure, nuclear magnetic resonance (NMR), mass spectroscopy (ms) and a PDB search. | glycoinformatics, glycobiology, glycomics, carbohydrate, 3d structure, data analysis service, modeling, structure, nuclear magnetic resonance, mass spectroscopy, protein, glycan |
lists: LiGraph lists: pdb-data lists: PDB2MultiGif is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of Giessen; Hesse; Germany is parent organization of: GlyProt is parent organization of: Distance Mapping is parent organization of: pdb-care is parent organization of: pdb2linucs is parent organization of: GlyVicinity is parent organization of: GlyTorsion is parent organization of: GlySeq is parent organization of: LINUCS is parent organization of: sumo is parent organization of: GlycoFragment is parent organization of: Glyco-CD is parent organization of: GlycoMapsDB is parent organization of: SWEET-DB is parent organization of: CARP |
DFG | PMID:16239495 | Free, Public | nif-0000-21103 | SCR_002324 | Glycosciences | 2026-09-19 12:49:56 | 25 |
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