Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Dali database Resource Report Resource Website 1+ mentions |
Dali database (RRID:SCR_006974) | data or information resource, database | Resource out of service. Documented on May, 5th, 2021.The Dali Database is based on all-against-all 3D structure comparison of protein structures in the Protein Data Bank (PDB). The structural neighborhoods and alignments are automatically maintained and regularly updated using the Dali search engine. The Dali Database contains structural alignments of PDB90 versus the full PDB using DaliLite. The data can be viewed interactively here, or downloaded in its entirety Users may search by PDB identifier or keyword. | protein, protein 3d structure, protein structure | has parent organization: University of Helsinki; Helsinki; Finland | PMID:20457744 | nif-0000-02719 | SCR_006974 | Dali Database | 2026-02-14 02:06:27 | 4 | ||||||||
|
Consensus CDS Resource Report Resource Website 100+ mentions |
Consensus CDS (RRID:SCR_006729) | CCDS | data or information resource, database | Database (anonymous FTP) resulting from a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations. Collaborators are EBI, NCBI, UCSC, WTSI and the initial results are also available from the participants'''' genome browser Web sites. In addition, CCDS identifiers are indicated on the relevant NCBI RefSeq and Entrez Gene records and in Map Viewer displays of RNA (RefSeq) and Gene annotations on the reference assembly. | human genome sequence, human protein, mouse genome sequence, mouse protein, protein coding region, gene, genome sequence, genome, sequence, gene annotation, protein, gold standard |
is listed by: OMICtools is related to: Entrez Gene is related to: HomoloGene is related to: MapViewer is related to: VEGA has parent organization: NCBI has parent organization: European Bioinformatics Institute has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom has parent organization: University of California at Santa Cruz; California; USA |
PMID:24217909 PMID:22434842 PMID:19498102 |
The community can contribute to this resource, Acknowledgement requested | nif-0000-02645, OMICS_01535 | http://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi | SCR_006729 | CCDS Database, NCBI Consensus CDS protein set, NCBI CCDS Database | 2026-02-14 02:06:27 | 230 | |||||
|
GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool Resource Report Resource Website 100+ mentions |
GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool (RRID:SCR_006848) | GOrilla | data analysis service, production service resource, service resource, analysis service resource | A tool for identifying and visualizing enriched GO terms in ranked lists of genes. It can be run in one of two modes: * Searching for enriched GO terms that appear densely at the top of a ranked list of genes or * Searching for enriched GO terms in a target list of genes compared to a background list of genes. | gene, genetic, ontology, ontology or annotation visualization, statistical analysis, term enrichment, visualization, analysis, protein |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology |
European Union FP6 ; Yeshaya Horowitz Association |
PMID:19192299 | Acknowledgement requested, Free, Public | nlx_80425, OMICS_02282 | SCR_006848 | Gene Ontology enRIchment anaLysis and visuaLizAtion tool, GOrilla: Gene Ontology Enrichment Analysis Visualization Tool | 2026-02-14 02:06:35 | 492 | |||||
|
HIV-1 Human Protein Interaction Database Resource Report Resource Website 10+ mentions |
HIV-1 Human Protein Interaction Database (RRID:SCR_006879) | HIV-1 Human Protein Interaction Database | data or information resource, database | A database of interactions between HIV-1 and human proteins published in the peer-reviewed literature. The goal is to provide a concise, yet detailed, summary of all known interactions of HIV-1 proteins with host cell proteins, other HIV-1 proteins, or proteins from disease organisms associated with HIV/AIDS. For each HIV-1 human protein interaction the following information is provided: * NCBI Reference Sequence (RefSeq) protein accession numbers. * NCBI Entrez Gene ID numbers. * Amino acids from each protein that are known to be involved in the interaction. * Brief description of the protein-protein interaction. * Keywords to support searching for interactions. * PubMed identification numbers (PMIDs) for all journal articles describing the interaction. In addition, all protein-protein interactions documented in the database are integrated into Entrez Gene records and listed in the ''HIV-1 protein interactions'' section of Entrez Gene reports. The database is also tightly linked to other databases through Entrez Gene, enabling users to search for an abundance of information related to HIV pathogenesis and replication. | protein-protein interaction, protein, interaction, cellular protein |
is related to: VirHostNet: Virus-Host Network has parent organization: NCBI |
Human immunodeficiency virus, Type 1 | NIAID contract N01-AI-05415; NIAID N01-AI-70042 |
PMID:18927109 PMID:19025396 PMID:19262354 |
Acknowledgement requested | nif-0000-02964 | SCR_006879 | HIV-1: Human Protein Interaction Database, Human immunodeficiency virus type 1 human protein interaction database at NCBI | 2026-02-14 02:05:57 | 13 | ||||
|
MyHits Resource Report Resource Website 10+ mentions |
MyHits (RRID:SCR_006757) | data or information resource, database | Database devoted to protein domains. It is also a collection of tools for the investigation of the relationships between protein sequences and motifs described on them. | protein, domain, motif, sequence, predictor, markov, model, gene, expression, mysql, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
PMID:17545200 | Free | nif-0000-02962, biotools:myhits | https://bio.tools/myhits | SCR_006757 | MyHit | 2026-02-14 02:06:34 | 39 | ||||||
|
Rice Kinase Database Resource Report Resource Website |
Rice Kinase Database (RRID:SCR_006990) | RKD | data or information resource, database | It was created to host functional genomic information gathered as part of a large NSF funded rice kinase proteomics project. The goal is to integrate disparate data sets into a logical, user friendly format. To accomplish this, they have developed a platform to display user selected functional genomic data on a phylogenetic tree. The RKD also includes an interactive chromosomal map showing the positions of all rice kinases and an interactive protein-protein interaction maps. | chromosomal map, genomic data, genomic information, phylogenetic tree, protein, proteomic, rice kinase | nif-0000-20910 | SCR_006990 | Rice Kinase Database | 2026-02-14 02:06:02 | 0 | |||||||||
|
CuticleDB Resource Report Resource Website 10+ mentions |
CuticleDB (RRID:SCR_007045) | cuticleDB | data or information resource, database | A relational database containing all structural proteins of Arthropod cuticle identified to date. Many come from direct sequencing of proteins isolated from cuticle and from sequences from cDNAs that share common features with these authentic cuticular proteins. It also includes proteins from the five sequenced genomes where manual annotation has been applied to cuticular proteins: Anopheles gambiae, Apis mellifera, Bombyx mori, Drosophila melanogaster, and Nasonia vitripennis. Some sequences were confirmed as authentic cuticular proteins because protein sequencing revealed that they were present in cuticle; others were identified by sequence homology and other criteria. Entries provides information about whether sequences are putative or authentic cuticular proteins. CuticleDB was primarily designed to contain correct and full annotation of cuticular protein data. The database will be of help to future genome annotators. Users will be able to test hypotheses for the existence of known and also of yet unknown motifs in cuticular proteins. An analysis of motifs may contribute to understanding how proteins contribute to the physical properties of cuticle as well as to the precise nature of their interaction with chitin. | genome, cuticle, cuticle protein, cuticular protein, cdna, protein, insect, exoskeleton, annotation, chitin, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
University of Athens; Athens; Greece ; NIAID AI055624 |
PMID:15453918 | biotools:cuticledb, nif-0000-02708 | https://bio.tools/cuticledb | SCR_007045 | CuticleDB - A relational database of Arthropod cuticular proteins | 2026-02-14 02:05:57 | 12 | |||||
|
UCSD-Nature Signaling Gateway Molecule Pages Resource Report Resource Website 10+ mentions |
UCSD-Nature Signaling Gateway Molecule Pages (RRID:SCR_006907) | SGMP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 29,2025. Relational database of all significant published qualitative and quantitative information on cell signaling proteins. The Molecule Pages database was developed with the specific aim of allowing interactions, and indeed whole pathways, to be modeled. The goal is to filter the data to present only validated information. In addition, the Gateway is the home of Signaling Update, which provides a one-stop overview of the latest and hottest research in cell signaling for both the specialist and non-specialist alike. | database, data model, cell signaling pathway, molecule, protein, signal transduction |
is listed by: 3DVC has parent organization: University of California at San Diego; California; USA |
Genentech Inc ; National Institute of General Medical Sciences |
PMID:21505029 PMID:17965093 PMID:12478304 |
THIS RESOURCE IS NO LONGER IN SERVICE | r3d100011690, nif-0000-03604, SCR_013230, nif-0000-20810 | https://doi.org/10.17616/R3V343 | SCR_006907 | Molecule Pages: A comprehensive signaling database, UCSD - Signaling Gateway Molecule Pages, Alliance for Cellular Signaling Molecule Pages Database | 2026-02-14 02:06:01 | 12 | ||||
|
Potential Drug Target Database Resource Report Resource Website 10+ mentions |
Potential Drug Target Database (RRID:SCR_007069) | PDTD | data or information resource, database | It is a dual function database that associates an informatics database to a structural database of known and potential drug targets. PDTD is a comprehensive, web-accessible database of drug targets, and focuses on those drug targets with known 3D-structures. PDTD contains 1207 entries covering 841 known and potential drug targets with structures from the Protein Data Bank (PDB). Drug targets of PDTD were categorized into 15 and 13 types according to two criteria: therapeutic areas and biochemical criteria. The database supports extensive searching function using PDB ID, target name and category, related disease. | drug, biochemical, informatics, protein, structural, therapeutic | nif-0000-20891 | SCR_007069 | Potential Drug Target Database | 2026-02-14 02:06:02 | 17 | |||||||||
|
COG Resource Report Resource Website 1000+ mentions |
COG (RRID:SCR_007139) | COG, COG Cluster, COG Function, COG Pathway | data or information resource, database | A database for phylogenetic classification for proteins encoded in complete genomes. Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain. Please be aware that COGs hasn't been updated in many years and will not be. | ortholog, protein, cog, conserved protein sequence, unicellular cluster, genome, order, class, phyla, eukaryotic cluster, gold standard |
is listed by: OMICtools is related to: MLTreeMap is related to: ProOpDB is related to: Conserved Domain Database has parent organization: NCBI is parent organization of: Clusters of Orthologous Groups Analysis Ontology |
PMID:12969510 PMID:9381173 |
OMICS_01688, nif-0000-02672 | SCR_007139 | COG Database, Clusters of Orthologous Groups of proteins, COGs, COGs - Clusters of Orthologous Groups of proteins, COGs - Phylogenetic classification of proteins encoded in complete genomes, COG Cluster, COG Pathway, COG Function | 2026-02-14 02:05:58 | 1117 | |||||||
|
Subcellular Location Image Finder Resource Report Resource Website 1+ mentions |
Subcellular Location Image Finder (RRID:SCR_006723) | SLIF | data or information resource, database, image | SLIF finds fluorescence microscope images in on-line journal articles, and indexes them according to cell line, proteins visualized, and resolution. Images can be accessed via the SLIF Web database. SLIF takes on-line papers and scans them for figures that contain fluorescence microscope images (FMIs). Figures typically contain multiple FMIs, to SLIF must segment these images into individual FMIs. When the FMI images are extracted, annotations for the images (for instance, names of proteins and cell-lines) are also extracted from the accompanying caption text. Protein annotation are also used to link to external databases, such as the Gene Ontology DB. The more detailed process includes: segmentation of images into panels; panel classification, to find FMIs; segmentation of the caption, to find which portions of the caption apply to which panels; text-based entity extraction; matching of extracted entities to database entries; extraction of panel labels from text and figures; and alignment of the text segments to the panels. Extracted FMIs are processed to find subcellular location features (SLFs), and the resulting analyzed, annotated figures are stored in a database, which is accessible via SQL queries. | fluorescence, annotation, cell, journal, microscope, protein, subcellular, image, cell line, fluorescence microscope, information retrieval, data mining |
is listed by: Biositemaps has parent organization: Carnegie Mellon University; Pennsylvania; USA |
Commonwealth of Pennsylvania Tobacco Settlement Fund ; National Center for Integrative Biomedical Informatics ; NIGMS R01 GM078622; NIDA U54 DA021519 |
PMID:17990497 | nif-0000-10308 | SCR_006723 | SLIF - Subcellular Location Image Finder | 2026-02-14 02:05:56 | 1 | ||||||
|
DisProt - Database of Protein Disorder Resource Report Resource Website 100+ mentions |
DisProt - Database of Protein Disorder (RRID:SCR_007097) | data or information resource, database | The Database of Protein Disorder (DisProt) is a curated database that provides information about proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Users can BLAST sequences, browse by protein name, or view by protein function and functional subclass. | protein, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: Temple University; Pennsylvania; USA |
nif-0000-02754, r3d100010561, biotools:disprot | https://bio.tools/disprot https://doi.org/10.17616/R3NG75 |
http://divac.ist.temple.edu/disprot | SCR_007097 | DisProt | 2026-02-14 02:06:02 | 204 | |||||||
|
GBrowse Resource Report Resource Website 10+ mentions |
GBrowse (RRID:SCR_006829) | GBrowse | data or information resource, database | A database and interactive web site for manipulating and displaying annotations on genomes. Features include: detailed views of the genome; use of a variety of premade or personally made glyphs ; customizable order and appearance of tracks by administrators and end-users; search by annotation ID, name, or comment; support of third party annotation using GFF formats; DNA and GFF dumps; connectivity to different databases, including BioSQL and Chado; and a customizable plug-in architecture (e.g. run BLAST, find oligonucleotides, design primers, etc.). GBrowse is distributed as source code for Macintosh OS X, UNIX and Linux platforms, and as pre-packaged binaries for Windows machines. It can be installed using the standard Perl module build procedure, or automated using a network-based install script. In order to use the net installer, you will need to have Perl 5.8.6 or higher and the Apache web server installed. The wiki portion accepts data submissions. | genome, annotation, database, perl, virus, dna, protein, reference sequence, chromosome, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: WormBase is related to: FlyBase is related to: International HapMap Project has parent organization: Generic Model Organism Database Project has parent organization: Indiana University; Indiana; USA |
Howard Hughes Medical Institute ; NHGRI HG00739; NHGRI P41HG02223 |
PMID:19957275 PMID:18428797 PMID:12368253 PMID:21400697 PMID:20194461 PMID:19357095 DOI:10.1002/0471250953.bi0909s28 |
The community can contribute to this resource, Requires Perl 5.8.6 or higher and the Apache web server | OMICS_00910, biotools:gbrowse, nif-0000-30597 | http://gmod.org/wiki/GBrowse https://bio.tools/gbrowse https://sources.debian.org/src/gbrowse/ |
SCR_006829 | Generic Genome Browser | 2026-02-14 02:06:35 | 43 | ||||
|
Artificial Selected Proteins/Peptides Database Resource Report Resource Website 1+ mentions |
Artificial Selected Proteins/Peptides Database (RRID:SCR_007557) | ASPD | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 04, 2014. Curated database on selected from randomized pools proteins and peptides designed for accumulation of experimental data on protein functionality obtained by in vitro directed evolution methods (phage display, ribosome display, SIP etc.) ASPD is integrated by means of hyperlinks with different databases (SWISS-PROT, PDB, PROSITE, etc). The database also contains modules for pairwise correlation analysis and BLAST search. | amino acid, ligand, nucleotide sequence database, peptide, phage, protein, ribosome, transcriptional regulator site, transcription factor, blast, pairwise correlation analysis |
is listed by: 3DVC has parent organization: Siberian Branch of the Russian Academy of Sciences; Novosibirsk; Russia |
Russian Foundation for Basic Research and INTAS 00-04-49229; Russian Foundation for Basic Research and INTAS YSF 00-177 |
PMID:11752292 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02576 | http://www.sgi.sscc.ru/mgs/gnw/aspd/ | SCR_007557 | Artificial Selected Proteins Peptides Database | 2026-02-14 02:06:28 | 3 | ||||
|
Biomolecular Object Network Databank Resource Report Resource Website 10+ mentions |
Biomolecular Object Network Databank (RRID:SCR_007433) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 19,2019.BOND, which requires registration of a free account, is a resource used to perform cross-database searches of available sequence, interaction, complex and pathway information. BOND integrates a range of component databases including GenBank and BIND, the Biomolecular Interaction Network Database. BOND contains 70+ million biological sequences, 33,000 structures, 38,000 GO terms, and over 200,000 human curated interactions contained in BIND, and is open access. BOND serves the interests of the developing global interactome effort encompassing the genomic, proteomic and metabolomic research communities. BOND is the first open access search resource to integrate sequence and interaction information. BOND integrates BLAST functionality, and contains a well-documented API. BOND also stores annotation links for sequences, including links to Genome Ontology descriptions, MedLine abstracts, taxon identifiers, associated structures, redundant sequences, sequence neighbors, conserved domains, data base cross-references, Online Mendalian Inheritance in Man identifiers, LocusLink identifiers and complete genomes. BIND on BOND The Biomolecular Interaction Network Database (BIND), a component database of BOND, is a collection of records documenting molecular interactions. The contents of BIND include high-throughput data submissions and hand-curated information gathered from the scientific literature. BIND is an interaction database with three classifications for molecular associations: molecules that associate with each other to form interactions, molecular complexes that are formed from one or more interaction(s) and pathways that are defined by a specific sequence of two or more interactions.Interactions A BIND record represents an interaction between two or more objects that is believed to occur in a living organism. A biological object can be a protein, DNA, RNA, ligand, molecular complex, gene, photon or an unclassified biological entity. BIND records are created for interactions which have been shown experimentally and published in at least one peer-reviewed journal. A record also references any papers with experimental evidence that support or dispute the associated interaction. Interactions are the basic units of BIND and can be linked together to form molecular complexes or pathways. The BIND interaction viewer is a tool to visualize and analyze molecular interactions, complexes and pathways. The BIND interaction viewer uses Ontoglyphs to display information about a protein via attributes such as molecular function, biological process and sub-cellular localization. Ontoglyphs allow to graphically and interactively explore interaction networks, by visualizing interactions in the context of 34 functional, 25 binding specificity and 24 sub-cellular localization Ontoglyphs categories. We will continue to provide an open access version of BOND, providing its subscribers with free, unlimited access to a core content set. But we are confident you will soon want to upgrade to BONDplus. | gene, genes, genome, annotation, binding specificity, biological process, complex, dna, genomes, genomic, human, interaction, interactome, ligand, metabolomic, molecular, molecular complex, molecular function, molecular interaction, mouse, ontoglyphs, ontology terms, pathway, photon, protein, protein-protein interactions, proteomic, rna, sequence, structure, sub-cellular localization, taxonomy, unclassified biological entity | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00571 | SCR_007433 | BOND | 2026-02-14 02:06:28 | 17 | |||||||||
|
Alternative Splicing Database Resource Report Resource Website |
Alternative Splicing Database (RRID:SCR_007555) | data or information resource, database |
It has been established with the intention of assembling in a central, publicly accessible site information about alternatively spliced genes, their products and expression patterns. Version 2.1 of ASDB consists of two divisions, ASDB(proteins) , which contains amino acid sequences, and ASDB(nucleotides) with genomic sequences. SWISS-PROT uses two formats for description of alternative splicing Thus the protein sequences were selected from SWISS-PROT using full text search for both the words alternative splicing (usually in the CC lines) and varsplic (in the FT lines). In order to group proteins that could arise by alternative splicing of the same gene, we developed the clustering procedure. Two proteins were linked if they had a common fragment of at least 20 amino acids, and clusters were initially defined as maximum connected groups of linked proteins. It turned out that some clusters were chimeric, in the sense that they contained members of multi-gene families, but not alternatively spliced variants of one gene. Therefore the multiple alignments were subject to additional analysis aimed at detection of chimeric clusters. Each cluster is represented by multiple alignment of its members constructed using CLUSTALW. The distribution of cluster size, representation of species and other relevant statistics of ASDB(proteins) can be accessed through the links below. This processing covers the cases when alternatively spliced variants are described in separate SWISS-PROT entries. The other kinds of ASDB records, originating from the SWISS-PROT entries with the varsplic field in the feature table, usually describe the proteins that are not part of any cluster. In these cases, the information on the variable fragments of the several proteins which result from the alternative splicing of a single gene is contained in the entry itself. ASDB(proteins) entries are marked with different symbols to allow for easy differentiation among the three types: those proteins which are part of the ASDB clusters and the corresponding multialignments, those which have the information on different variants in the associated SWISS-PROT entries, and those for which the information on the variants is not available at the present time. ASDB contains internal links between entries and/or clusters, as well as external links to Medline, GenBank and SWISS-PROT entries. The ASDB(nucleotides) division was generated by collecting all GenBank entries containing the words alternative splicing and further selection of those entries that contain complete gene sequences (all CDS fields are complete, i.e. they do not have continuation signs). Sponsors: This work was supported by the Director, Office of Energy Research, Office of Biological and Environmental Research, of the US Department of Energy under Contract No. DE-ACO3-76SF00098. Additional support came from grants from the Russian Fund of Basic Research (99-04-48347), the Russian State Scientific Program Human Genome (65/99), and the Merck Genome Research Institute (244). |
exon, exon splice site, gene expression, gene structure, alternative splicing, amino acid, amino acid sequence, genomic sequence, human genome, human orf, intron, intron splice site, nucleotide, nucleotide sequence, protein, protein sequence, vertebrate genome | has parent organization: Lawrence Berkeley National Laboratory | nif-0000-02574 | http://hazelton.lbl.gov/~teplitski/alt/ | SCR_007555 | ASDB | 2026-02-14 02:05:59 | 0 | ||||||||
|
DB-PABP: a database of polyanion binding proteins Resource Report Resource Website |
DB-PABP: a database of polyanion binding proteins (RRID:SCR_007603) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. DB-PABP is an attempt to document the publicly available experimentally determined polyanion binding proteins (PABPs). The purpose of the database is to provide life scientists who are interested in PA/PABP interactions with a comprehensive data repository, as well as computer scientists with a publicly available dataset to perform knowledge discovery and datamining studies. The database is manually curated. It uses protein annotations from NCBI protein database and literature information is retrieved from PubMed. Whenever applicable, links to NCBI protein database and PubMed are provided so users may access additional information available in these public databases. | pabp, polyanion, polyanion binding protein, polyanion binding protein interaction, polyanion interactions, protein | has parent organization: University of Kansas; Kansas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02724 | SCR_007603 | DB-PABP | 2026-02-14 02:06:36 | 0 | ||||||||
|
MIPS Ustilago maydis Database Resource Report Resource Website 1+ mentions |
MIPS Ustilago maydis Database (RRID:SCR_007563) | data or information resource, database | The MIPS Ustilago maydis Genome Database aims to present information on the molecular structure and functional network of the entirely sequenced, filamentous fungus Ustilago maydis. The underlying sequence is the initial release of the high quality draft sequence of the Broad Institute. The goal of the MIPS database is to provide a comprehensive genome database in the Genome Research Environment in parallel with other fungal genomes to enable in depth fungal comparative analysis. The specific aims are to: 1. Generate and assemble Whole Genome Shotgun sequence reads yielding 10X coverage of the U. maydis genome 2. Integrate the genomic sequence assembly with physical maps generated by Bayer CropScience 3. Perform automated annotation of the sequence assembly 4. Align the strain 521 assembly with the FB1 assembly provided by Exelixis 5. Release the sequence assembly and results of our annotation and analysis to public Ustilago maydis is a basidiomycete fungal pathogen of maize and teosinte. The genome size is approximately 20 Mb. The fungus induces tumors on host plants and forms masses of diploid teliospores. These spores germinate and form haploid meiotic products that can be propagated in culture as yeast-like cells. Haploid strains of opposite mating type fuse and form a filamentous, dikaryotic cell type that invades plant tissue to reinitiate infection. Ustilago maydis is an important model system for studying pathogen-host interactions and has been studied for more than 100 years by plant pathologists. Molecular genetic research with U. maydis focuses on recombination, the role of mating in pathogenesis, and signaling pathways that influence virulence. Recently, the fungus has emerged as an excellent experimental model for the molecular genetic analysis of phytopathogenesis, particularly in the characterization of infection-specific morphogenesis in response to signals from host plants. Ustilago maydis also serves as an important model for other basidiomycete plant pathogens that are more difficult to work with in the laboratory, such as the rust and bunt fungi. Genomic sequence of U. maydis will also be valuable for comparative analysis of other fungal genomes, especially with respect to understanding the host range of fungal phytopathogens. The analysis of U. maydis would provide a framework for studying the hundreds of other Ustilago species that attack important crops, such as barley, wheat, sorghum, and sugarcane. Comparisons would also be possible with other basidiomycete fungi, such as the important human pathogen C. neoformans. Commercially, U. maydis is an excellent model for the discovery of antifungal drugs. In addition, maize tumors caused by U. maydis are prized in Hispanic cuisine and there is interest in improving commercial production. The complete putative gene set of the Broad Institute''s second release is loaded into the database and in addition all deviating putative genes from a putative gene set produced by MIPS with different gene prediction parameters are also loaded. The complete dataset will then be analysed, gene predictions will be manually corrected due to combined information derived from different gene prediction algorithms and, more important, protein and EST comparisons. Gene prediction will be restricted to ORFs larger than 50 codons; smaller ORFs will be included only if similarities to other proteins or EST matches confirm their existence or if a coding region was postulated by all prediction programs used. The resulting proteins will be annotated. They will be classified according to the MIPS classification catalogue receiving appropriate descriptions. All proteins with a known, characterized homolog will be automatically assigned to functional categories using the MIPS functional catalog. All extracted proteins are in addition automatically analysed and annotated by the PEDANT suite. | drug, environment, filamentous, functional, fungal, fungal genome databases, fungus, gene, genetic, basidiomycete, cell, codon, culture, dikaryotic, diploid, genome, genomic, germinate, haploid, host, human, infection, maize, mating, meiotic, model, molecular, morphogenesis, network, orf, pathogen, pathologist, phytopathogen, phytopathogenesis, plant, protein, recombination, sequence, signal, spore, strain, structure, teliospore, teosinte, tissue, tumor, ustilago maydis, virulence, yeast | nif-0000-21276 | SCR_007563 | MUMDB | 2026-02-14 02:06:04 | 9 | ||||||||||
|
Combinatorial Extension (CE) Resource Report Resource Website 1+ mentions |
Combinatorial Extension (CE) (RRID:SCR_007585) | CE | data or information resource, database | CE is a databases of alignments for all polypeptide chains. A representative set of proteins is available and kept current with the PDB, a method for calculating pairwise structure alignments. CE aligns two polypeptide chains using characteristics of their local geometry as defined by vectors between C alpha positions. Matches are termed aligned fragment pairs (AFPs). Heuristics are used in defining a set of optimal paths joining AFPs with gaps as needed. The path with the best RMSD is subject to dynamic programming to achieve an optimal alignment. For specific families of proteins additional characteristics are used to weight the alignment. Complete details are described in the paper (PDF format). Databases of alignments for all polypeptide chains and a representative set of proteins is available and kept current with the PDB | polypeptide, polypeptide chain, protein, protein alignment, protein structure |
is listed by: 3DVC is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of California at San Diego; California; USA |
nif-0000-02648 | http://cl.sdsc.edu/ce.html | SCR_007585 | Combinatorial extension | 2026-02-14 02:06:36 | 5 | |||||||
|
Genomic Distribution of structural Superfamilies Resource Report Resource Website 1+ mentions |
Genomic Distribution of structural Superfamilies (RRID:SCR_007670) | data or information resource, database | Genomic Distribution of structural Superfamilies identifies and classifies evolutionary related proteins at the superfamily level in whole genome databases. GenDiS has been curated in direct correspondence with SCOP and represents 4001 highly resolved domains in 1194 structural superfamilies across protein sequence databases. Sequences showing reliable homology to entries in SCOP and PASS2 databases have been obtained from the non-redundant protein sequence database and aligned. Similar alignments of the superfamily members are provided in the genome level. GenDiS provides a platform for cross genome comparison at the superfamily level. GenDis relates proteins sequence information across all strata of taxonomy. One may navigate through the database to obtain structural homologues across different levels in taxonomic classification. The nomenclature of the various genomes and their hierarchy is in direct correspondence with the taxonomy database maintained at the NCBI. Sequence homologues for the various structural members are obtained from the non-redundant protein sequence database employing sensitive sequence search methods. Multiple approaches such as PSI-BLAST, HMMsearch of the HMMer suite and an interacting motif constrained PHI-BLAST have been employed to identify homologues in the sequence databases. | protein, protein superfamily | nif-0000-02874 | SCR_007670 | GenDiS | 2026-02-14 02:06:06 | 2 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
