AlphaFold illuminates half of the dark human proteins

Jessica L. Binder, Joel Berendzen, Amy O. Stevens, Yi He, Jian Wang, Nikolay V. Dokholyan, Tudor I. Oprea

Research output: Contribution to journalReview articlepeer-review

45 Scopus citations

Abstract

We investigate the use of confidence scores to evaluate the accuracy of a given AlphaFold (AF2) protein model for drug discovery. Prediction of accuracy is improved by not considering confidence scores below 80 due to the effects of disorder. On a set of recent crystal structures, 95% are likely to have accurate folds. Conformational discordance in the training set has a much more significant effect on accuracy than sequence divergence. We propose criteria for models and residues that are possibly useful for virtual screening. Based on these criteria, AF2 provides models for half of understudied (dark) human proteins and two-thirds of residues in those models.

Original languageEnglish (US)
Article number102372
JournalCurrent Opinion in Structural Biology
Volume74
DOIs
StatePublished - Jun 2022

All Science Journal Classification (ASJC) codes

  • Structural Biology
  • Molecular Biology

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