Review paper

Rosetta custom score functions accurately predict ΔΔG of mutations at protein–protein interfaces using machine learning

Volume: 56, Issue: 50, Pages: 6774 - 6777
Published: Jan 1, 2020
Abstract
Reweighting Rosetta energy terms via machine learning improves prediction of ΔΔG values for mutations at protein interfaces, providing insight into biological processes and guiding development of therapeutic molecules targeted at these...
Paper Details
Title
Rosetta custom score functions accurately predict ΔΔG of mutations at protein–protein interfaces using machine learning
Published Date
Jan 1, 2020
Volume
56
Issue
50
Pages
6774 - 6777
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