Journal article
MCSM-PPI2: predicting the effects of mutations on protein-protein interactions
CHM Rodrigues, Y Myung, DEV Pires, DB Ascher
Nucleic Acids Research | OXFORD UNIV PRESS | Published : 2019
DOI: 10.1093/nar/gkz383
Open access
Abstract
Protein-protein Interactions are involved in most fundamental biological processes, with disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a novel machine learning computational tool designed to more accurately predict the effects of missense mutations on protein-protein interaction binding affinity. mCSM-PPI2 uses graph-based structural signatures to model effects of variations on the inter-residue interaction network, evolutionary information, complex network metrics and energetic terms to generate an optimised predictor. We demonstrate that our method outperforms previous methods, ranking first among 26 others on CAPRI blind tests. mCSM-PPI2 is freely avai..
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Awarded by Conselho Nacional de Desenvolvimento Científico e Tecnológico
Funding Acknowledgements
Australian Government Research Training Program Scholarship [to C.H.M.R and Y.M.]; Jack Brockhoff Foundation [JBF 4186, 2016 to D.B.A.]; a Newton Fund RCUK-CONFAP Grant awarded by The Medical Research Council (MRC) and Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG) [MR/M026302/1 to D.B.A. and D.E.V.P.]; National Health and Medical Research Council of Australia [APP1072476 to D.B.A.]; Victorian Life Sciences Computation Initiative (VLSCI), an initiative of the Victorian Government, Australia, on its Facility hosted at the University of Melbourne [UOM0017]; Instituto Rene Rachou (IRR/FIOCRUZ Minas), Brazil and Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [to D.E.V.P.]; Department of Biochemistry and Molecular Biology, University of Melbourne [to D.B.A.]; Supported in part by the Victorian Government's OIS Program. Funding for open access charge: MRC.