The Proteolysis MAP (PMAP) is an integrated web resource focused on proteases.
PMAP is to aid the protease researchers in reasoning about proteolytic networks and metabolic pathways.
History and funding
PMAP was originally created at the Burnham Institute for Medical Research, La Jolla, California. In 2004 the National Institutes of Health (NIH) selected a team led by Jeffrey W. Smith, to establish the Center on Proteolytic Pathways (CPP). As part of the NIH Roadmap for Biomedical research, the center develops technology to study the behavior of proteins and to disburse that knowledge to the scientific community at large.
Proteases are a class of enzymes that regulate much of what happens in the human body, both inside the cell and out, by cleaving peptide bonds in proteins. Through this activity, they govern the four essential cell functions: differentiation, motility, division and cell death — and activate important extracellular episodes, such as the biochemical cascade effect in blood clotting. Simply stated, life could not exist without them. Extensive on-line classification system for proteases (also referred as peptidases) is deposited in the MEROPS database.
Proteolytic pathways, or proteolysis, are the series of events controlled by proteases that occur in response to specific stimuli. In addition to the clotting of blood, the production of insulin can be viewed as a proteolytic pathway, as the activation, regulation and inhibition of that protein is the result of proteases reacting to changing glucose levels and triggering other proteases downstream.
PMAP integrates five databases (DBs), linked together in one environment. (1)ProteaseDB and (2)SubstrateDB, are driven by an automated annotation pipeline that generates dynamic ‘Molecule Pages’, rich in molecular information. (3)CutDB has information on more than 6,600 proteolytic events, and (4)ProfileDB is dedicated to information of the substrate recognition specificity of proteases. (5)PathwayDB, just begun accumulation of metabolic pathways whose function can be dynamically modeled in a rule-based manner. Hypothetical networks are inferred by semi-automated culling of the literature. Additionally, protease software tools are available for the analysis of individual proteases and proteome-wide data sets.
Popular destinations in PMAP are Protease Molecule Pages and Substrate Molecule Pages. Protease Molecule Pages show recent news in PubMed literature of the protease, known proteolytic events, protein domain location and protein structure view, as well as a cross annotation in other bioinformatic databases section. Substrate Molecule Pages display protein domains and experimentally derived protease cut-sites for a given protein target of interest.
* Metabolic pathway
1. ^ Igarashi Y, Heureux E, Doctor KS, Talwar P, Gramatikova S, Gramatikoff K, Zhang Y, Blinov M, Ibragimova SS, Boyd S, Ratnikov B, Cieplak P, Godzik A, Smith JW, Osterman AL, Eroshkin AM. PMAP: databases for analyzing proteolytic events and pathways. Nucleic Acids Research. 2008 Oct 8.[Epub ahead of print]
* Official website
Retrieved from "http://en.wikipedia.org/"