Journal article
Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structures
Q Pan, TB Nguyen, DB Ascher, DEV Pires
Briefings in Bioinformatics | OXFORD UNIV PRESS | Published : 2022
DOI: 10.1093/bib/bbac025
Abstract
Changes in protein sequence can have dramatic effects on how proteins fold, their stability and dynamics. Over the last 20 years, pioneering methods have been developed to try to estimate the effects of missense mutations on protein stability, leveraging growing availability of protein 3D structures. These, however, have been developed and validated using experimentally derived structures and biophysical measurements. A large proportion of protein structures remain to be experimentally elucidated and, while many studies have based their conclusions on predictions made using homology models, there has been no systematic evaluation of the reliability of these tools in the absence of experiment..
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Awarded by National Health and Medical Research Council (NHMRC) of Australia
Funding Acknowledgements
An Investigator Grant from the National Health and Medical Research Council (NHMRC) of Australia (GNT1174405). Supported in part by the Victorian Government's Operational Infrastructure Support Program.