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InterPro is a database of protein families, protein domains and functional sites in which identifiable features found in known proteins can be applied to new protein sequences [2] in order to functionally characterise them. [3] [4] The contents of InterPro consist of diagnostic signatures and the proteins that they significantly match.
The InterPro website allows users to submit protein or DNA sequences to search for matches to families in the Pfam database. If DNA is submitted, a six-frame translation is performed, then each frame is searched. [ 12 ]
The databases in the table below are selected from the databases listed in the Nucleic Acids Research (NAR) databases issues and database collection and the databases cross-referenced in the UniProtKB. Most of these databases are cross-referenced with UniProt / UniProtKB so that identifiers can be mapped to each other. [15] Proteins in human:
Interactive maps, databases and real-time graphics from The Huffington Post. HuffPost Data. Visualization, analysis, interactive maps and real-time graphics. Browse ...
Uniprot — the universal protein database, a central resource on protein information - PROSITE adds data to it. InterPro — a centralized database, grouping data from databases of protein families, domains and functional sites - part of the data come from PROSITE. Protein subcellular localization prediction — another example of use of PROSITE.
Simple Modular Architecture Research Tool (SMART) is a biological database that is used in the identification and analysis of protein domains within protein sequences. [1] [2] SMART uses profile-hidden Markov models built from multiple sequence alignments to detect protein domains in protein sequences.
TIGRFAMs is a database of protein families designed to support manual and automated genome annotation. [1] [2] [3] Each entry includes a multiple sequence alignment and hidden Markov model (HMM) built from the alignment. Sequences that score above the defined cutoffs of a given TIGRFAMs HMM are assigned to that protein family and may be ...
However, it's important to note that these topline numbers from Data.gov represent only a back-of-the-envelope measure of data loss. Some datasets linked on the site aren't necessarily available ...