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Target highlights in CASP14: Analysis of models by structure providers. | LitMetric

AI Article Synopsis

  • - The authors of CASP14 target structures emphasize the biological importance and specific features of selected proteins, assessing how well prediction models matched these features.
  • - This year's CASP demonstrated a significant advancement in accurately predicting protein structures, even for challenging targets.
  • - For the first time, experimentalists acknowledged that computational models not only reproduced key structural elements but could also guide future research on proteins' biological properties.

Article Abstract

The biological and functional significance of selected Critical Assessment of Techniques for Protein Structure Prediction 14 (CASP14) targets are described by the authors of the structures. The authors highlight the most relevant features of the target proteins and discuss how well these features were reproduced in the respective submitted predictions. The overall ability to predict three-dimensional structures of proteins has improved remarkably in CASP14, and many difficult targets were modeled with impressive accuracy. For the first time in the history of CASP, the experimentalists not only highlighted that computational models can accurately reproduce the most critical structural features observed in their targets, but also envisaged that models could serve as a guidance for further studies of biologically-relevant properties of proteins.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616854PMC
http://dx.doi.org/10.1002/prot.26247DOI Listing

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