Homologues not needed: Structure prediction from a protein language model

Research output: Contribution to journalComment/debate

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.

Original languageEnglish
Pages (from-to)1047-1049
Number of pages3
JournalStructure
Volume30
Issue number8
DOIs
StatePublished - 4 Aug 2022

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Structural Biology

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