# Progress at protein structure prediction, as seen in CASP15

Review · Arne Elofsson

- Archive id: doi:10.1016/j.sbi.2023.102594
- Published: 2023-04-13
- Venue: Current Opinion in Structural Biology
- DOI: https://doi.org/10.1016/j.sbi.2023.102594
- PMID: 37060758
- Citations: 93
- Source URL: https://doi.org/10.1016/j.sbi.2023.102594
- Provenance: openalex

## 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.

_Abstract reproduced under CC-BY (publisher license, via OpenAlex)._

Topics: [AI Protein Design & Structure Prediction](https://space-kitty.com/topics/protein-design)

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