CleavPredict: A platform for reasoning about matrix metalloproteinases proteolytic events

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

Результат исследований: Вклад в журналСтатьярецензирование

35 Цитирования (Scopus)


CleavPredict ( 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.

Язык оригиналаАнглийский
Номер статьиe0127877
ЖурналPLoS ONE
Номер выпуска5
СостояниеОпубликовано - 21 мая 2015
Опубликовано для внешнего пользованияДа


Подробные сведения о темах исследования «CleavPredict: A platform for reasoning about matrix metalloproteinases proteolytic events». Вместе они формируют уникальный семантический отпечаток (fingerprint).