Homologues not needed: Structure prediction from a protein language model
Structure(2022)
摘要
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.
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关键词
structure prediction,language model,protein
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