Journal article

MmCSM-NA: Accurately predicting effects of single and multiple mutations on protein-nucleic acid binding affinity

TB Nguyen, Y Myung, AGC De Sá, DEV Pires, DB Ascher

Nar Genomics and Bioinformatics | Published : 2021

Abstract

While protein-nucleic acid interactions are pivotal for many crucial biological processes, limited experimental data has made the development of computational approaches to characterise these interactions a challenge. Consequently, most approaches to understand the effects of missense mutations on protein-nucleic acid affinity have focused on single-point mutations and have presented a limited performance on independent data sets. To overcome this, we have curated the largest dataset of experimentally measured effects of mutations on nucleic acid binding affinity to date, encompassing 856 single-point mutations and 141 multiple-point mutations across 155 experimentally solved complexes. This..

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University of Melbourne Researchers

Grants

Awarded by Medical Research Council


Awarded by Jack Brockhoff Foundation [JBF]


Awarded by Wellcome Trust


Awarded by Investigator Grant from the National Health and Medical Research Council (NHMRC) of Australia


Awarded by Newton Fund


Funding Acknowledgements

Alex G.C. de Sa is currently supported by the Joe White Bequest Fellowship; D.B.A. and D.E.V.P. were funded by a Newton Fund RCUK-CONFAP Grant awarded by the Medical Research Council [MR/M026302/1]; D.B.A. was supported by the Jack Brockhoff Foundation [JBF 4186, 2016]; Wellcome Trust [200814/Z/16/Z]; Investigator Grant from the National Health and Medical Research Council (NHMRC) of Australia [GNT1174405]; Victorian Government's Operational Infrastructure Support Program (in part).