Pripper: prediction of caspase cleavage sites from whole proteomes |
| |
Authors: | Mirva Piippo Niina Lietzén Olli S Nevalainen Jussi Salmi Tuula A Nyman |
| |
Affiliation: | (1) Department of Information Technology, University of Turku, Turku, Finland;(2) Institute of Biotechnology, University of Helsinki, Helsinki, Finland |
| |
Abstract: | Background Caspases are a family of proteases that have central functions in programmed cell death (apoptosis) and inflammation. Caspases mediate their effects through aspartate-specific cleavage of their target proteins, and at present almost 400 caspase substrates are known. There are several methods developed to predict caspase cleavage sites from individual proteins, but currently none of them can be used to predict caspase cleavage sites from multiple proteins or entire proteomes, or to use several classifiers in combination. The possibility to create a database from predicted caspase cleavage products for the whole genome could significantly aid in identifying novel caspase targets from tandem mass spectrometry based proteomic experiments. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|