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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NCBI Structure Resource Report Resource Website 10+ mentions |
NCBI Structure (RRID:SCR_004218) | NCBI Structure | data or information resource, database | Database of three-dimensional structures of macromolecules that allows the user to retrieve structures for specific molecule types as well as structures for genes and proteins of interest. Three main databases comprise Structure-The Molecular Modeling Database; Conserved Domains and Protein Classification; and the BioSystems Database. Structure also links to the PubChem databases to connect biological activity data to the macromolecular structures. Users can locate structural templates for proteins and interactively view structures and sequence data to closely examine sequence-structure relationships. * Macromolecular structures: The three-dimensional structures of biomolecules provide a wealth of information on their biological function and evolutionary relationships. The Molecular Modeling Database (MMDB), as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more. It is possible, for example, to find 3D structures for homologs of a protein of interest by following the Related Structure link in an Entrez Protein sequence record. * Conserved domains and protein classification: Conserved domains are functional units within a protein that act as building blocks in molecular evolution and recombine in various arrangements to make proteins with different functions. The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, in addition to NCBI-curated domains that use 3D-structure information explicitly to define domain boundaries and provide insights into sequence/structure/function relationships. * Small molecules and their biological activity: The PubChem project provides information on the biological activities of small molecules and is a component of NIH''''s Molecular Libraries Roadmap Initiative. PubChem includes three databases: PCSubstance, PCBioAssay, and PCCompound. The PubChem data are linked to other data types (illustrated example) in the Entrez system, making it possible, for example, to retrieve information about a compound and then Link to its biological activity data, retrieve 3D protein structures bound to the compound and interactively view their active sites, and find biosystems that include the compound as a component. * Biological Systems: A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. The NCBI BioSystems Database provides centralized access to biological pathways from several source databases and connects the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system. BioSystem records list and categorize components (illustrated example), such as the genes, proteins, and small molecules involved in a biological system. The companion FLink icon FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. | macromolecule, conserved domain, protein classification, protein, small molecule, biological activity, molecule, biosystem, biological system, structure, gene, alignment, biomolecule, interaction, function, evolution, 3d spatial image, visualization, gold standard |
is listed by: re3data.org is related to: PubChem is related to: NCBI BioSystems Database is related to: Conserved Domain Database is related to: Molecular Modeling DataBase is related to: CBLAST is related to: NCBI Structure: Cn3D is related to: IBIS: Inferred Biomolecular Interactions Server is related to: Vector Alignment Search Tool is related to: PubMed has parent organization: NCBI |
Free, Public, Acknowledgement requested | nlx_23947, r3d100010927 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=structure, https://doi.org/10.17616/R3PP7J | SCR_004218 | 2026-09-12 01:01:30 | 26 | |||||||
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Integrated Biobank of Luxembourg Resource Report Resource Website 1+ mentions |
Integrated Biobank of Luxembourg (RRID:SCR_004211) | IBBL | biomaterial supply resource, material resource, tissue bank | An independent, not-for-profit biobanking and biotechnology foundation designed to facilitate new, high quality medical research. The IBBL collects, stores, and analyzes biological samples and associated data, which are then made available to research organizations investigating new treatments for diseases. It houses a biospecimen collection and biorepository that contains high quality tissues and maintains quality control of the specimens and the clinical data associated with the tissue samples, while maintaining biobanking ethical standards. It also provides biorefinery analyses and research services that can make analytes from tissues (e.g. DNA, RNA and protein), maintains technology for high throughput gene sequencing and gene expression, and conducts biospecimen research. An informatics platform maintains the clinical and biospecimens data in a secure fashion for additional analysis. Samples are collected by IBBL personnel from hospitals in a targeted manner. The IBBL collaborates with research and health organizations in North America, Europe and the Middle East, and with the major international biobanking societies. | biobank, biorepository, clinical data, tissue, dna, rna, protein, cancer, type 2 diabetes, parkinsons disease, biotechnology | is listed by: One Mind Biospecimen Bank Listing | Cancer, Type 2 diabetes, Parkinson's disease | Public | nlx_23314 | SCR_004211 | 2026-09-12 01:01:30 | 5 | |||||||
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UCL/UCLH Biobank for Studying Health and Disease Resource Report Resource Website |
UCL/UCLH Biobank for Studying Health and Disease (RRID:SCR_004610) | UCL Biobank for studying Health and Disease | biomaterial supply resource, material resource, tissue bank | The UCL/UCLH Biobank for Studying Health and Disease has been primarily established to support the Research Programme and scientific needs, of the Pathology Department UCLH & the UCL Cancer Institute. The establishment of the core programme enables a centralised approach to the management and integration of all research groups working within these institutions, providing appropriate structure and support. The biobank has policies and guidelines to guarantee compliance with HTA legislation and to ensure quality standards will be maintained. The biobank stores normal and pathological specimens, surplus to diagnostic requirements, from relevant tissues and bodily fluids, as well as human tissue used in xenograft experiments. Stored tissues include; snap-frozen or cryopreserved tissue, formalin-fixed tissue, paraffin-embedded tissues, and slides prepared for histological examination. Tissues include resection specimens obtained surgically or by needle core biopsy. Bodily fluids include; whole blood, serum, plasma, urine, cerebrospinal fluid, milk, saliva and buccal smears and cytological specimens such as sputum and cervical smears. Fine needle aspirates obtained from tissues and bodily cavities (eg. pleura and peritoneum) are also collected. Where appropriate the biobank also stores separated cells, protein, DNA and RNA isolated from collected tissues and bodily fluids described above. Some of the tissue and aspirated samples are stored in the diagnostic archive. | specimen, pathology, tissue, bodily fluid, human tissue, xenograft, tissue, blood, serum, plasma, urine, cerebral spinal fluid, milk, saliva, buccal smear, sputum, cervical smear, pleura, peritoneum, cell, protein, dna, rna, snap-frozen, cryopreserved, formalin-fixed, paraffin-embedded, slide, normal, disease, cancer, frozen |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University College London; London; United Kingdom |
Normal, Disease, Cancer | Private / Partners: The aim is to support primarily, Research in the Pathology Department, UCLH and the UCL-Cancer Institute but it will also support other UCLH partners. | nlx_143838 | SCR_004610 | UCL/UCLH Biobank for Studying Health Disease, UCL Biobank for studying Health Disease, UCL / UCLH Biobank for Studying Health Disease | 2026-09-12 01:01:32 | 0 | ||||||
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Pain Genes database Resource Report Resource Website 10+ mentions |
Pain Genes database (RRID:SCR_004771) | PainGenesdb | data or information resource, database | Database of genes regulated by pain derived from published manuscripts describing results of pain-relevant knockout studies. The database has two levels of exploration: across-gene and within-gene. The across-gene level, the PainGenesdbSelector, is encountered first. All genes in the database can be accessed and sorted by their gene name, protein name, common names and acronyms, or genomic position (by navigating a graphic representation of the mouse genome). The gene and protein names can be selected from an alphabetical list, or by typing a text string into a search box. | knock out mouse, pain sensation, mice, mutant, knockout, gene, genome, protein | has parent organization: McGill University; Montreal; Canada | Pain | Louise Edwards Foundation | PMID:17574758 | nlx_77039, r3d100012129 | https://doi.org/10.17616/R3WP95 | SCR_004771 | PainGenes DB | 2026-09-12 01:01:33 | 16 | ||||
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UniGene Resource Report Resource Website 1000+ mentions |
UniGene (RRID:SCR_004405) | UniGene | data or information resource, database, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Web tool for an organized view of the transcriptome. Collection of the computationally identified transcripts from the same locus. Information on protein similarities, gene expression, cDNA clones, and genomic location. System for automatically partitioning GenBank sequences into a non redundant set of gene oriented clusters. | colleciton, data, information, organized, view, transcriptome, locus, protein, similarity, gene, expression, |
is used by: Rank Rank Hypergeometric Overlap is listed by: OMICtools is listed by: re3data.org is related to: ProbeMatchDB 2.0 is related to: Bgee: dataBase for Gene Expression Evolution is related to: GeneSpeed- A Database of Unigene Domain Organization has parent organization: NCBI works with: Digital Differential Display (DDD) |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_41571, OMICS_01663, r3d100010774 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=unigene, https://doi.org/10.17616/R35G7T | SCR_004405 | NCBI UniGene, Organized View of the Transcriptome, UniGene | 2026-09-12 01:01:31 | 1153 | ||||||
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Information Hyperlinked Over Proteins Resource Report Resource Website 10+ mentions |
Information Hyperlinked Over Proteins (RRID:SCR_004829) | iHOP | data or information resource, database, service resource | Information system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli. | phenotype, gene, protein, interaction, pathology, physiology, gene network, network, literature, gene function, text-mining, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: PubMed has parent organization: Autonomous University of Madrid; Madrid; Spain |
European Union IST-2001- 32688; European Union QLRT-2001-00015 |
PMID:15226743 | Creative Commons Attribution-NoDerivs License, Works v3 | biotools:ihop, nif-0000-00232, OMICS_01185 | https://bio.tools/ihop | SCR_004829 | iHOP - Information Hyperlinked over Proteins | 2026-09-12 01:01:34 | 24 | ||||
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SNPnexus Resource Report Resource Website 100+ mentions |
SNPnexus (RRID:SCR_005192) | SNPnexus | analysis service resource, data analysis service, production service resource, service resource | A web server for functional annotation of novel and publicly known genetic variants that was developed to assess the potential significance of known and novel SNPs on the major transcriptome, proteome, regulatory and structural variation models in order to identify the phenotypically important variants. A broader range of variations have been incorporated such as insertions / deletions, block substitutions, IUPAC codes submission and region-based analysis, expanding the query size limit, and most importantly including additional categories for the assessment of functional impact. SNPnexus provides a comprehensive set of annotations for genomic variation data by characterizing related functional consequences at the transcriptome/proteome levels of seven major annotation systems with in-depth analysis of potential deleterious effects, inferring physical and cytogenetic mapping, reporting information on HapMap genotype/allele data, finding overlaps with potential regulatory elements, structural variations and conserved elements, and retrieving links with previously reported genetic disease studies. | single nucleotide polymorphism, genetic variant, gene, variant, insertion, deletion, block substitution, functional annotation, genotyping, phenotype, disease, regulatory element, conservation, non-synonymous coding snp, gene, protein, hapmap, population, structural variation |
is listed by: OMICtools has parent organization: Queen Mary University of London; London; United Kingdom |
PMID:23395730 PMID:22544707 PMID:19098027 |
Acknowledgement requested | OMICS_00188 | SCR_005192 | 2026-09-12 01:01:36 | 177 | |||||||
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MG-RAST Resource Report Resource Website 1000+ mentions |
MG-RAST (RRID:SCR_004814) | MG RAST | analysis service resource, data analysis service, production service resource, service resource | An automated analysis platform for metagenomes providing quantitative insights into microbial populations based on sequence data. The server primarily provides upload, quality control, automated annotation and analysis for prokaryotic metagenomic shotgun samples. | metagenome, base pair, sequence, phylogenetic, functional analysis, data sharing, metadata, protein, micro biome, analysis platform, bio.tools |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools has parent organization: Argonne National Laboratory |
NIAID contract HHSN272200900040C; DOE contract DE-AC02-06CH11357 |
PMID:18803844 | Acknowledgement requested, Public, Account required | OMICS_01456, biotools:mg-rast | http://metagenomics.nmpdr.org, https://bio.tools/mg-rast | SCR_004814 | The Metagenomics RAST server, Metagenomics RAST, MG-RAST - metagenomics analysis server | 2026-09-12 01:01:34 | 1165 | ||||
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Oncotator Resource Report Resource Website 100+ mentions |
Oncotator (RRID:SCR_005183) | Oncotator | analysis service resource, data analysis service, production service resource, service resource | A tool for annotating human genomic point mutations and indels with data relevant to cancer researchers. Genomic Annotations, Protein Annotations, and Cancer Annotations are aggregated from many resources. A standalone version of Oncotator is being developed. | annotate, genomic, point mutation, indel, mutation, genome, protein, variant |
is listed by: OMICtools has parent organization: Broad Institute |
Cancer | OMICS_00178 | SCR_005183 | 2026-09-12 01:01:36 | 223 | ||||||||
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Apo and Holo structures DataBase Resource Report Resource Website 1+ mentions |
Apo and Holo structures DataBase (RRID:SCR_004800) | AH-DB | data or information resource, database | Database of apo and holo structure pairs of proteins before and after binding. Various protein functions have been shown directly associated with conformational transitions triggered by binding other molecules. Tertiary structures determined in the unbound and bound state are usually named apo and holo structures, respectively. AH-DB is the largest database of apo-holo structure pairs and provides a sophisticated interface to search and view the collected data. It contains 746314 apo-holo pairs of 3638 proteins from 702 organisms. | ah-db, ahdb, apo, holo, protein interaction, structural change, protein, protein structure, protein binding, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: National Cheng Kung University; Tainan; Taiwan |
National Science Council Taiwan NSC 99-2628-E-006-017 | PMID:22084200 | The community can contribute to this resource | biotools:ah-db, nlx_143908 | https://bio.tools/ah-db | SCR_004800 | Apo-Holo DataBase | 2026-09-12 01:01:34 | 1 | ||||
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footprintDB Resource Report Resource Website 10+ mentions |
footprintDB (RRID:SCR_005368) | footprintDB | data or information resource, database | Database with 2797 unique DNA-binding proteins (mostly transcription factors, TFs), 4196 Position Weight Matrices (PWMs) and 13161 DNA Binding Sites extracted from the literature and other repositories. The binding interfaces of (most) proteins in the database are inferred from the collection of protein-DNA complexes described in 3D-footprint. The database predicts transcription factors which bind a specific DNA site or motif and DNA motifs or sites likely to be recognized by a specific DNA-binding protein. | transcription factor, dna motif, dna, motif, dna-binding protein, position weight matrix, protein |
is listed by: OMICtools has parent organization: Spanish National Research Council; Madrid; Spain |
Free | OMICS_00535 | SCR_005368 | 2026-09-12 01:01:37 | 10 | ||||||||
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ChIPBase Resource Report Resource Website 100+ mentions |
ChIPBase (RRID:SCR_005404) | ChIPBase | data or information resource, database | A database for decoding transcription factor binding maps, expression profiles and transcriptional regulation of long non-coding RNAs (lncRNAs, lincRNAs), microRNAs, other ncRNAs (snoRNAs, tRNAs, snRNAs, etc.) and protein-coding genes from ChIP-Seq data. ChIPBase currently includes millions of transcription factor binding sites (TFBSs) among 6 species. ChIPBase provides several web-based tools and browsers to explore TF-lncRNA, TF-miRNA, TF-mRNA, TF-ncRNA and TF-miRNA-mRNA regulatory networks., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | chip-seq, gene, rna, microrna, long non-coding rna, non-coding, transcription factor binding site, protein, transcriptional regulation, annotation, regulatory element, transcription factor, genome, network, FASEB list |
is listed by: OMICtools has parent organization: Sun Yat-sen University; Guangdong; China |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00527 | SCR_005404 | 2026-09-12 01:01:37 | 145 | ||||||||
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PIE the search Resource Report Resource Website 1+ mentions |
PIE the search (RRID:SCR_005296) | PIE | data or information resource, database, service resource | A web service to extract Protein-protein interaction (PPI)-relevant articles from MEDLINE that provides protein interaction information (PPI) articles for biologists, baseline system performance for bio-text mining researchers and a compact PubMed-search environment for PubMed users. It accepts PubMed input formats including All Fields, Author, Journal, MeSH Terms, Publication Date, Title, and Title/Abstract with Boolean operations (AND, OR, and NOT). However, the output is the list of articles prioritized by PPI confidence rates. Some words (mostly gene/protein names) which contributed for PPI prediction are underlined and linked to Entrez or Entrez Gene. Even though our system focuses on a PubMed search environment, it also provides a CGI access for bio-text mining researchers. Using the CGI program, a list of PubMed IDs can be obtained as a query result, thus it can be utilized as a baseline system performance. PIE the search is based on a winning approach in the BioCreative III ACT competition (BC3)1. For input queries, MEDLINE articles are first retrieved through the PubMed service. PPI scores are calculated for the retrieved articles, and the articles are re-ranked based on scores. To effectively capture PPI patterns from biomedical literature, their approach utilizes both word and syntactic features for machine learning classifiers. Dependency parsing, gene mention tagging, and term-based features are utilized along with a Huber classifier. | protein interaction, protein-protein interaction, protein, interaction |
is listed by: OMICtools is related to: PubMed is related to: MEDLINE has parent organization: NCBI |
PMID:22199390 PMID:22151252 |
OMICS_01191 | SCR_005296 | Protein Interaction information Extraction the search | 2026-09-12 01:01:36 | 1 | |||||||
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TopoSNP Resource Report Resource Website 1+ mentions |
TopoSNP (RRID:SCR_005572) | TopoSNP | data or information resource, database | A topographic database for analyzing non-synonymous SNPs (nsSNPs) that can be mapped onto known 3D structures of proteins. These include disease- associated nsSNPs derived from the Online Mendelian Inheritance in Man (OMIM) database and other nsSNPs derived from dbSNP, a resource at the National Center for Biotechnology Information that catalogs SNPs. TopoSNP further classifies each nsSNP site into three categories based on their geometric location: those located in a surface pocket or an interior void of the protein, those on a convex region or a shallow depressed region, and those that are completely buried in the interior of the protein structure. These unique geometric descriptions provide more detailed mapping of nsSNPs to protein structures. It also includes relative entropy of SNPs calculated from multiple sequence alignment as obtained from the Pfam database (a database of protein families and conserved protein motifs) as well as manually adjusted multiple alignments obtained from ClustalW. These structural and conservational data can be useful for studying whether nsSNPs in coding regions are likely to lead to phenotypic changes. TopoSNP includes an interactive structural visualization web interface, as well as downloadable batch data. | visualization, disease, non-disease, non-synonymous single nucleotide polymorphism, topographic mapping, single nucleotide polymorphism, 3d structure, protein, protein structure, coding region, entropy |
is listed by: OMICtools is related to: OMIM is related to: dbSNP is related to: Pfam is related to: Clustal W2 has parent organization: University of Illinois at Chicago; Illinois; USA |
NSF DBI0133856; NSF DBI0078270; NSF MCB998008; NIGMS GM68958 |
PMID:14681472 | nif-0000-03570, OMICS_00191 | SCR_005572 | topographic mapping of Single Nucleotide Polymorphism | 2026-09-12 01:01:38 | 5 | ||||||
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STOP Resource Report Resource Website 100+ mentions |
STOP (RRID:SCR_005322) | STOP | analysis service resource, data analysis service, production service resource, service resource | STOP is a multi-ontology enrichment analysis tool. It is intended to be used to help from hypothesis about large sets of genes or proteins. The annoations used for enrichment analysis are obtained automatically applying text descriptions of genes and proteins to the NCBO annotator. Text for genes is found using NCBI entrez gene, and text for proteins is found using UniProt. The text is then run though NCBO annotator with all the available ontologies. For more information about the NCBO annotator please visit: http://bioportal.bioontology.org/ The goal of National Center for Biomedical Ontology (NCBO) is to support biomedical researchers in their knowledge-intensive work, by providing online tools and a Web portal enabling them to access, review, and integrate disparate ontological resources in all aspects of biomedical investigation and clinical practice. A major focus of our work involves the use of biomedical ontologies to aid in the management and analysis of data derived from complex experiments. This work is an expansion of the work of Rob Tirrell and others on RANSUM This probject would not be possible without the contributions of Emily Howe, Uday Evani, Corey Powell, Mathew Fleisch, Tobias Wittkop, Ari Berman, Nigam Shah and Sean Mooney An account is required. | gene ontology, resource:go, gene, protein, annotation |
is related to: Entrez Gene is related to: UniProt is related to: NCBO Annotator has parent organization: Buck Institute; California; USA has parent organization: Stanford University; Stanford; California |
nlx_144382 | SCR_005322 | Statistical Tracking of Ontological Phrases, Statistical Tracking of Ontological Phrases (STOP) | 2026-09-12 01:01:37 | 458 | ||||||||
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GORetriever Resource Report Resource Website 10+ mentions |
GORetriever (RRID:SCR_005633) | GORetriever | analysis service resource, data analysis service, production service resource, service resource | GORetriever is used to find all of the GO annotations corresponding to a list of user-supplied protein identifiers. GORetriever produces a list of proteins and their annotations and a separate list of entries with no GO annotation. Platform: Online tool | gene, annotation, protein, ontology or annotation search engine |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: AgBase |
USDA ; Mississippi State University; Mississippi; USA ; MSU Office of Research ; MSU Bagley College of Engineering ; MSU College of College of Veterinary Medicine ; MSU Life Science and Biotechnology Institute |
PMID:17135208 PMID:16961921 |
Free for academic use | nlx_149140 | SCR_005633 | AgBase GORetriever | 2026-09-12 01:01:38 | 13 | |||||
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STRING Resource Report Resource Website 10000+ mentions |
STRING (RRID:SCR_005223) | STRING | data or information resource, database | Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013) | protein association, protein functional association, protein interaction, protein-protein interaction, protein, sequence, protein sequence, interaction, gene, FASEB list |
is used by: MobiDB is used by: PAXdb is listed by: Nuclear Receptor Signaling Atlas is listed by: NIDDK Information Network (dkNET) is related to: Biomine is related to: PSICQUIC Registry is related to: ShinyGO has parent organization: European Molecular Biology Laboratory has plug in: Cytoscape StringApp |
BMBF ; European Union FP6 ; EMBO ; ProBioC ; Swiss Institute of Bioinformatics |
PMID:23203871 PMID:21045058 PMID:18940858 PMID:17098935 PMID:15608232 PMID:12519996 |
nif-0000-03503, r3d100010604 | https://doi.org/10.17616/R3VS40 | SCR_005223 | Search Tool for the Retrieval of Interacting Genes/Proteins, STRING - Known and Predicted Protein-Protein Interactions | 2026-09-12 01:01:36 | 32678 | |||||
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YMDB - Yeast Metabolome Database Resource Report Resource Website 10+ mentions |
YMDB - Yeast Metabolome Database (RRID:SCR_005890) | YMDB | data or information resource, database | A manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker's yeast and Brewer's yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases. YMDB contains metabolites arising from normal S. cerevisiae metabolism under defined laboratory conditions as well as metabolites generated by S. cerevisiae when used in baking and in the production of wines, beers and spirits. YMDB currently contains 2027 small molecules with 857 associated enzymes and 138 associated transporters. Each small molecule has 48 data fields describing the metabolite, its chemical properties and links to spectral and chemical databases. Each enzyme/transporter is linked to its associated metabolites and has 30 data fields describing both the gene and corresponding protein. Users may search through the YMDB using a variety of database-specific tools. The simple text query supports general text queries of the textual component of the database. By selecting either metabolites or proteins in the search for field it is possible to restrict the search and the returned results to only those data associated with metabolites or with proteins. Clicking on the Browse button generates a tabular synopsis of YMDB's content. This browser view allows users to casually scroll through the database or re-sort its contents. Clicking on a given MetaboCard button brings up the full data content for the corresponding metabolite. A complete explanation of all the YMDB fields and sources is available. Under the Search link users will find a number of search options listed in a pull-down menu. The Chem Query option allows users to draw (using MarvinSketch applet or a ChemSketch applet) or to type (SMILES string) a chemical compound and to search the YMDB for chemicals similar or identical to the query compound. The Advanced Search option supports a more sophisticated text search of the text portion of YMDB. The Sequence Search button allows users to conduct BLASTP (protein) sequence searches of all sequences contained in YMDB. Both single and multiple sequence (i.e. whole proteome) BLAST queries are supported. YMDB also supports a Data Extractor option that allows specific data fields or combinations of data fields to be searched and/or extracted. Spectral searches of YMDB's reference compound NMR and MS spectral data are also supported through its MS, MS/MS, GC/MS and NMR Spectra Search links. Users may download YMDB's complete textual data, chemical structures and sequence data by clicking on the Download button. | small molecule, metabolite, enzyme, transporter, gene, protein, chemical property, reaction, pathway, class, protein, proteome, blastp, nmr, ms spectra, chemical structure | has parent organization: University of Alberta; Alberta; Canada | Canadian Institutes of Health Research | PMID:22064855 | Freely available - Explicit permission / acknowledgment of the source material and original publication is required for commercial purposes. We ask users who download significant portions of the database cite the YMDB paper in any resulting publications. | nlx_151612, r3d100012733 | https://doi.org/10.17616/R3Z51K | SCR_005890 | Yeast Metabolome Database (YMDB), Yeast Metabolome Database | 2026-09-12 01:01:40 | 17 | ||||
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iSpyBio.com Resource Report Resource Website |
iSpyBio.com (RRID:SCR_000465) | iSpyBio | material resource, reagent supplier | Search engine for Life scientists that ranks reagents by the amount of data available, such as publications, reviews, characterization images and tested applications. It displays reagents such as antibodies, proteins, ELISA kits and biomolecules. Its proprietary search algorithm is unique and rapidly analyzes the end-user's search query against its large database, while powerful filters allow the user to enhance search results. As iSpyBio syncs with supplier and other public databases, it is always up-to-date - allowing iSpyBio to exclude out of stock items, whilst also showing the most recent testing results and peer-reviewed publications. | database, search engine, archiving, data citation, research object, antibody, elisa kit, protein, peptide, biomolecule, cdna, service, assay kit, sirna, cell line, cell, tissue, lysate, reporter kit | is listed by: FORCE11 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156870, nlx_157275, SCR_010229 | SCR_000465 | 2026-09-12 01:00:50 | 0 | ||||||||
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Conrad Prebys Center for Chemical Genomics Resource Report Resource Website |
Conrad Prebys Center for Chemical Genomics (RRID:SCR_001687) | data or information resource, organization portal, portal | The Conrad Prebys Center for Chemical Genomics (CPCCG) uses advanced screening technologies to identify high level chemical probes that interact with proteins involved in cellular processes. Optimization of these probes using medicinal chemistry and informatics will form the basis of a new generation of medicines. CPCCG is 1 of 4 Comprehensive Centers chosen nationally to be a part of the Molecular Libraries Probe Program (MLP), which established the Molecular Libraries Probe Production Centers Network (MLPCN). The goal is to produce small molecule probes that allow research into health and disease on the cellular level. CPCCG core services span a range of biochemical and cell-based screens for obtaining hits and provide chemistry resources for optimizing hits into probes or drug development. - Full scale screening capabilities and technology which can provide rapid screening on a broad diversity of assays and detection platforms - Several fully-integrated industrial-scale high-throughput screening (HTS) workstations - HTS microscopy/HCS and novel algorithm development for image analysis - Full hit-to-probe chemistry and exploratory pharmacology - Powerful NMR based Chemical Fragment Screening - Highly integrated informatics infrastructure and efficient data mining capabilities - Protein production facility - Cell production facility for scale-up tissue culture The CPCCG Screening Core can screen 96, 384 or 1536 well formats using either biochemical or cell-based assays, and can process over 300,000 wells per day. Total throughput capacity will climb to over 2 million compounds per day following the opening of Burnhams east coast campus in Lake Nona, Florida. | drug, algorithm, analysis, assay, biochemical, cell, cellular, chemical, culture, development, disease, genomic, hcs, health, hts microscopy, keywords: chemical, medicinal, microscopy, molecular, molecule, probe, process, production, protein, technology, tissue, image | Free, Freely Available | nif-0000-10180 | http://sdccg.burnham.org | SCR_001687 | CPCCG | 2026-09-12 01:00:52 | 0 |
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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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
