Journal article

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: A comprehensive revisit and benchmarking of existing methods

F Li, Y Wang, C Li, TT Marquez-Lago, A Leier, ND Rawlings, G Haffari, J Revote, T Akutsu, KC Chou, AW Purcell, RN Pike, GI Webb, A Ian Smith, T Lithgow, RJ Daly, JC Whisstock, J Song

Briefings in Bioinformatics | OXFORD UNIV PRESS | Published : 2019

Abstract

The roles of proteolytic cleavage have been intensively investigated and discussed during the past two decades. This irreversible chemical process has been frequently reported to influence a number of crucial biological processes (BPs), such as cell cycle, protein regulation and inflammation. A number of advanced studies have been published aiming at deciphering the mechanisms of proteolytic cleavage. Given its significance and the large number of functionally enriched substrates targeted by specific proteases, many computational approaches have been established for accurate prediction of protease-specific substrates and their cleavage sites. Consequently, there is an urgent need to systemat..

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University of Melbourne Researchers

Grants

Awarded by National Institutes of Health


Funding Acknowledgements

This work was supported by grants from the National Health and Medical Research Council of Australia (NHMRC; 1092262), the Australian Research Council (ARC; LP110200333 and DP120104460), the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (R01 AI111965), a Major Inter-Disciplinary Research (IDR) project awarded by Monash University, the Collaborative Research Program of Institute for Chemical Research, Kyoto University (2018-28), NHMRC CJMartin Early Career Research Fellowship (1143366 to C.L.), ARC Discovery Outstanding Research Award (DORA; to G.I.W) and partially (for T.T.M.L. and A.L.) by the Informatics Institute of the School of Medicine at University of Alabama at Birmingham.