Progress at protein structure prediction, as seen in CASP15
- PMID: 37060758
- DOI: 10.1016/j.sbi.2023.102594
Progress at protein structure prediction, as seen in CASP15
Abstract
In Dec 2020, the results of AlphaFold version 2 were presented at CASP14, sparking a revolution in the field of protein structure predictions. For the first time, a purely computational method could challenge experimental accuracy for structure prediction of single protein domains. The code of AlphaFold v2 was released in the summer of 2021, and since then, it has been shown that it can be used to accurately predict the structure of most ordered proteins and many protein-protein interactions. It has also sparked an explosion of development in the field, improving AI-based methods to predict protein complexes, disordered regions, and protein design. Here I will review some of the inventions sparked by the release of AlphaFold.
Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of competing interest The author declares no conflict of interests.
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