Journal
BIOINFORMATICS
Volume 32, Issue 16, Pages 2542-2544Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw192
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Funding
- PRIN project (Italian MIUR) [20108XYHJS]
- COST BMBS Action (European Union RTD Framework Program) [TD1101, BM1405]
- PON project (Italian Miur) [PON01_02249, PAN Lab PONa3_00166]
- FARB UNIBO
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Motivation: Protein function depends on its structural stability. The effects of single point variations on protein stability can elucidate the molecular mechanisms of human diseases and help in developing new drugs. Recently, we introduced INPS, a method suited to predict the effect of variations on protein stability from protein sequence and whose performance is competitive with the available state-of-the-art tools. Results: In this article, we describe INPS-MD (Impact of Non synonymous variations on Protein Stability-Multi-Dimension), a web server for the prediction of protein stability changes upon single point variation from protein sequence and/or structure. Here, we complement INPS with a new predictor (INPS3D) that exploits features derived from protein 3D structure. INPS3D scores with Pearson's correlation to experimental Delta Delta G values of 0.58 in cross validation and of 0.72 on a blind test set. The sequence-based INPS scores slightly lower than the structure-based INPS3D and both on the same blind test sets well compare with the state-of-the-art methods.
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