CleavPredict:一个用于推理基质金属蛋白酶蛋白水解事件的平台

CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events.

作者信息

Kumar Sonu, Ratnikov Boris I, Kazanov Marat D, Smith Jeffrey W, Cieplak Piotr

机构信息

Sanford Burnham Medical Research Institute, La Jolla, California, United States of America.

Institute for Information Transmission Problems, Russian Academy of Science, Moscow, Russia.

出版信息

PLoS One. 2015 May 21;10(5):e0127877. doi: 10.1371/journal.pone.0127877. eCollection 2015.

Abstract

CleavPredict (http://cleavpredict.sanfordburnham.org) is a Web server for substrate cleavage prediction for matrix metalloproteinases (MMPs). It is intended as a computational platform aiding the scientific community in reasoning about proteolytic events. CleavPredict offers in silico prediction of cleavage sites specific for 11 human MMPs. The prediction method employs the MMP specific position weight matrices (PWMs) derived from statistical analysis of high-throughput phage display experimental results. To augment the substrate cleavage prediction process, CleavPredict provides information about the structural features of potential cleavage sites that influence proteolysis. These include: secondary structure, disordered regions, transmembrane domains, and solvent accessibility. The server also provides information about subcellular location, co-localization, and co-expression of proteinase and potential substrates, along with experimentally determined positions of single nucleotide polymorphism (SNP), and posttranslational modification (PTM) sites in substrates. All this information will provide the user with perspectives in reasoning about proteolytic events. CleavPredict is freely accessible, and there is no login required.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c371/4440711/bba2a28dc921/pone.0127877.g001.jpg

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