Homologues not needed: Structure prediction from a protein language model.
Journal:
Structure (London, England : 1993)
Published Date:
Aug 4, 2022
Abstract
Accurate protein structure predictors use clusters of homologues, which disregard sequence specific effects. In this issue of Structure, Weißenow and colleagues report a deep learning-based tool, EMBER2, that efficiently predicts the distances in a protein structure from its amino acid sequence only. This approach should enable the analysis of mutation effects.