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http://www-lecb.ncifcrf.gov/mitoDat/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. It is dedicated to the nuclear genes specifying the enzymes, structural proteins, and other proteins, many still not identified, involved in mitochondrial biogenesis and function. MitoDat highlights predominantly human nuclear-encoded mitochondrial proteins, although it also includes proteins from other animals in addition to those currently known only from yeast and other fungal mitochondria, as well as from plant mitochondria. he database consolidates information from various biological databases, eg., GenBank, SwissPro, Genome Data Base (GDB), Online Mendelian Inheritance in Man (OMIM), et al. Because the mitochondrion has a central role in cellular metabolism, it is involved in many human diseases. This database should help us in studying these diseases. We are also hyperlinked to the Report of the committee on human mitochondrial DNA, maintained by the Wallace group at Emory. It can be accessed here and also from the results when searching mitoDat for mitochondrially encoded genes. The Report of the committee on human mitochondrial DNA is currently the most comprehensive source of information on mitochondrial DNA mutations, other defects, and disorders in which the mitochondrial DNA deficiencies have been associated.

Proper citation: MitoDat - Mendelian Inheritance and the Mitochondrion (RRID:SCR_007799) Copy   

•   Source: SciCrunch Registry

http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=mirgenv3

An integrated database of positional relationships between animal miRNAs and genomic annotation sets and animal miRNA targets according to combinations of widely used target prediction programs. miRGen has three connected interfaces which query this data. The Genomics interface allows the user to explore where whole-genome collections of miRNAs are located with respect to UCSC genome browser annotation sets such as Known Genes, Refseq Genes, Genscan predicted genes, CpG islands, and pseudogenes. The Targets interface provides access to unions and intersections of four widely used target prediction programs, and experimentally supported targets from TarBase. The Clusters interface provides predicted miRNA clusters at any given inter-miRNA distance, and provides specific functional information on the targets of miRNAs within each cluster.

Proper citation: miRGen (RRID:SCR_007796) Copy   

•   Source: SciCrunch Registry

http://www.ba.itb.cnr.it/mitochondriome/index.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. A web site dedicated to providing links to mitochondrial data and databases, as well as links to other mitochondrial sites and relevant information. It provides links to databases, complete mitochondrial genomes, genome maps, and publications.

Proper citation: Mitochondriome (RRID:SCR_007798) Copy   

•   Source: SciCrunch Registry

http://www.mir2disease.org/

A manually curated database, aims at providing a comprehensive resource of miRNA deregulation in various human diseases. Each entry in the miR2Disease contains detailed information on a miRNA-disease relationship, including miRNA ID, disease name, a brief description of the miRNA-disease relationship, miRNA expression pattern in the disease state, detection method for miRNA expression, experimentally verified miRNA target gene(s), and literature reference . All entries can be retrieved by miRNA ID, disease name or target gene. miR2Disease will be updated bimonthly. miR2Disease sincerely looks forward to recently established relationship between miRNA and human diseases to be submitted.

Proper citation: miR2Disease (RRID:SCR_007792) Copy   

•   Source: SciCrunch Registry

http://mirgator.kobic.re.kr/

Database of compiled, public, deep sequencing miRNA data and several novel tools to facilitate exploration of massive data. The miR-seq browser supports users to examine short read alignment with the secondary structure and read count information available in concurrent windows. Features such as sequence editing, sorting, ordering, import and export of user data are of great utility for studying iso-miRs, miRNA editing and modifications. miRNA����??target relation is essential for understanding miRNA function. Coexpression analysis of miRNA and target mRNAs, based on miRNA-seq and RNA-seq data from the same sample, is visualized in the heat-map and network views where users can investigate the inverse correlation of gene expression and target relations, compiled from various databases of predicted and validated targets.

Proper citation: miRGator (RRID:SCR_007793) Copy   

•   Source: SciCrunch Registry

http://bioinfo.ibp.ac.cn/NPInter/demo/

A database covering eight category functional interactions between noncoding RNAs (except tRNAs and rRNAs) and proteins related biomacromolecules (proteins, mRNAs and genomic DNAs) in six model organisms. Functional interactions imply both physical interactions between the ncRNA and protein, and other forms of interaction where the combination of an ncRNA and an mRNA or a genomic DNA sequence elicits a cellular reaction. This database is distinguished from other biomolecular interaction database by: 1. The data of NPInter is novel, in the sense that no earlier database has especially cataloged this type of data (ncRNA-protein interactions). The database now contains more than 700 published functional interactions from the six organisms E. coli, yeast, worm, fly, mouse and human in which functional interactions experiments have been concentrated. The amount of data is not large, but the NPInter covers almost all experimentally verified ncRNA functional interaction data which had been published before the end of last year. 2. The ncRNA functional interaction data are entered into NPInter only following publication in books or peer-reviewed journals. Entry is done manually by a curator, and thereafter double-checked by a second curator. 3. We introduce a classification of the functional interaction data, which is based on the functional interaction process the ncRNA takes part in. 4. NPInter also provides an efficient search option, allowing recovery of interactions, related publications and other information., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NPInter (RRID:SCR_007825) Copy   

•   Source: SciCrunch Registry

http://oomycetes.genomeprojectsolutions-databases.com/

The Oomycete Genomics Database is a publicly accessible resource that includes functional assays and expression data, combined with transcript and genomic analysis and annotation. OGD builds upon data available from the Phytophthora Genome Consortium, Syngenta Phytophthora Consortium and the Phytophthora Functional Genomics Database. Data are analyzed and annotated using NCGR''s XGI System. The knowledge gained from these studies provide significant insight into key molecular processes regulating an economically important pathosystem and will provide novel tools for improvement of disease resistance in crop plants.

Proper citation: OGD - Oomycete Genomics Database (RRID:SCR_007828) Copy   

•   Source: SciCrunch Registry

http://www.noncode.org/

Collection of non-coding RNAs (excluding tRNAs and rRNAs) as an integrated knowledge database. Used to get text information such as class,name,location,related publication,mechanism through which it exerts its function, view figures which show their location in the genome or in a specific DNA fragment, and the regulation elements flanking the ncRNA gene sequences.

Proper citation: NONCODE (RRID:SCR_007822) Copy   

•   Source: SciCrunch Registry

http://www.imtech.res.in/raghava/mhcbn/

The MHCBN is a curated database consisting of detailed information about Major Histocompatibility Complex (MHC) Binding,Non-binding peptides and T-cell epitopes. The version 4.0 of database provides information about peptides interacting with TAP and MHC linked autoimmune diseases.

Proper citation: MHCBN: A comprehensive database of MHC binding and non-binding peptides (RRID:SCR_007785) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.leeds.ac.uk/metatiger

metaTIGER is a collection of metabolic profiles and phylogenomic information on a taxonomically diverse range of eukaryotes. Phylogenomic information is provided by 2,257 large phylogenetic trees which can be interactively explored. High-throughput tree analysis can also be carried out to identify trees of interest, e.g. trees containing horizontal gene transfers. metaTIGER also provides novel facilities for viewing and comparing the metabolic profiles.

Proper citation: metaTIGER (RRID:SCR_007781) Copy   

•   Source: SciCrunch Registry

http://metallo.scripps.edu/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 24, 2013. Database and Browser containing quantitative information on all the metal-containing sites available from structures in the PDB distribution. This database contains geometrical and molecular information that allows the classification and search of particular combinations of site characteristics, and answer questions such as: How many mononuclear zinc-containing sites are five coordinate with X-ray resolution better than 1.8 Angstroms?, and then be able to visualize and manipulate the matching sites. The database also includes enough information to answer questions involving type and number of ligands (e.g. "at least 2 His"), and include distance cutoff criteria (e.g. a metal-ligand distance no more than 3.0 Angstroms and no less than 2.2 Angstroms). This database is being developed as part of a project whose ultimate goal is metalloprotein design, allowing the interactive visualization of geometrical and functional information garnered from the MDB. The database is created by automatic recognition and extraction of metal-binding sites from metal-containing proteins. Quantitative information is extracted and organized into a searchable form, by iterating through all the entries in the latest PDB release (at the moment: September 2001). This is a comprehensive quantitative database, which exists in SQL format and contains information on about 5,500 proteins.

Proper citation: Metalloprotein Site Database (RRID:SCR_007780) Copy   

•   Source: SciCrunch Registry

http://mips.gsf.de/genre/proj/mfungd

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16, 2019.Database for annotated mouse proteins and their occurrence in protein networks. It contains cDNA and protein sequences, annotation, gene models and mapping, FunCat, UCSC Genome Viewer, SIMAP, pseudogenes (Genome Viewer Track), InterPro, and splice variants. Protein function annotation is performed using the Functional Catalogue (FunCat) annotation scheme, which is a hierarchically structured classification system. To provide up-to-date similarity search results and InterPro domain analyses, the protein entries are interconnected with the SIMAP database. The gene models are based on the RefSeq mouse cDNAs. The work of our group is focussed on the annotation of biological systems. Therefore, results from the Mammalian Protein-Protein Interaction Database and the Comprehensive Resource of Mammalian Protein Complexes are linked to the MfunGD dataset. Links to external resources are also provided. MfunGD is implemented in GenRE, a J2EE based component oriented multi-tier architecture.

Proper citation: MfunGD - MIPS Mouse Functional Genome Database (RRID:SCR_007783) Copy   

•   Source: SciCrunch Registry

http://www.receptors.org/NR/

A database of information on nuclear receptors. Included in the database are sequence information, structural information, and mutation data. Users can BLAST sequences, view 2D structural data, see the chromosomal location of nuclear receptors genes, and utilize other tools found on the website.

Proper citation: NucleaRDB (RRID:SCR_007782) Copy   

•   Source: SciCrunch Registry

http://networkin.info/

A method for predicting in vivo kinase-substrate relationships, that augments consensus motifs with context for kinases and phosphoproteins. This website allows a user to browse/search and investigate predictions made using the NetworKIN algorithm. The site is powered by the latest phosphoproteome in Phospho.ELM. Alternatively users can submit their own protein sequences and phosphorylation sites and obtain new NetworKIN predictions.

Proper citation: NetworKIN (RRID:SCR_007818) Copy   

•   Source: SciCrunch Registry

http://imgt3d.igh.cnrs.fr/3Dstructure-DB/

A database of three-dimensional protein structures. It contains molecules, complexes, sequences, ligand/receptor pairings, and other useful tools. Currently, 1655 entries are managed , with 1602 IMGT/3Dstructure-DB cards (PDB) and 53 IMGT/2Dstructure-DB cards (INN).

Proper citation: IMGT/3Dstructure-DB (RRID:SCR_007734) Copy   

•   Source: SciCrunch Registry

http://caps.ncbs.res.in/imotdb/

Comprehensive collection of spatially interacting motifs in proteins. Interacting motif database lists interacting motifs that are identified for all structural entries in PDB. Conserved patterns or finger prints are identified for individual structural entries and also grouped together for reporting common motifs shared among all superfamily members.

Proper citation: Database of Spatially Interacting Motifs in Proteins (RRID:SCR_007735) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.istge.it/cldb/indexes.html

Hypertext on cell culture availability extracted from the Cell Line Data Base of the Interlab Project. HyperCLDB includes links to records of OMIM, the Online Mendelian Inheritance in Man Catalogue, and now also links to the PubMed, database of bibliographic biomedical references, which are drawn primarily from MEDLINE and PREMEDLINE.

Proper citation: Hyper Cell Line Database (RRID:SCR_007730) Copy   

•   Source: SciCrunch Registry

http://research.nhgri.nih.gov/scid/

IL2Rgbase is a database of mutations in the X-linked gene IL2RG, leading to the autoimmune disease XSCID. Data on mutations in any of the eight exons may be retrieved and examined, as well as intervening sequences.

Proper citation: X-linked SCID mutation database (RRID:SCR_007732) Copy   

•   Source: SciCrunch Registry

http://www.tigr.org/tdb/humgen/bac_end_search/bac_end_intro.html

The Human BAC Ends Database is a database of sequences from the ends of bacterial artificial chromosome (BAC) clones. A whole genome sequencing approach has been described in a map-as-you-go strategy. The complete sequence of a seed BAC is searched against a BAC end database and the minimally overlapping clones in each direction are selected for sequencing. As coverage increases, BAC end sequences provide samples for whole genome survey. It currently contains 743,000 end sequences from 470,000 clones (20 X clone coverage and 12% sequence coverage), generated by TIGR, UofWashington and CalTech, providing a sequence marker every 5 kb across the genome. The coverage by paired-ends on chromosome 22 is over 5X. The project is funded by DOE.

Proper citation: Human BAC Ends Database (RRID:SCR_007727) Copy   

•   Source: SciCrunch Registry

http://itb.biologie.hu-berlin.de/~nebulus/sirna/index.htm

A database that serves as a repository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.

Proper citation: HuSiDa - Human siRNA database (RRID:SCR_007729) Copy   

•   Source: SciCrunch Registry