AlphaFold two years on: validation and impact

TL;DR

Two years after AlphaFold2's release, its widespread adoption has significantly impacted structural biology, aiding in structure determination, computational studies, and ongoing validation of its predictive capabilities.

Contribution

This paper reviews the recent developments, applications, and validation efforts of AlphaFold2 within the structural biology community.

Findings

AlphaFold2 has been widely adopted in structural biology.

Its predictions are continually validated against experimental data.

The tool has enabled new computational workflows and accelerated structure determination.

Abstract

Two years on from the initial release of AlphaFold2 we have seen its widespread adoption as a structure prediction tool. Here we discuss some of the latest work based on AlphaFold2, with a particular focus on its use within the structural biology community. This encompasses use cases like speeding up structure determination itself, enabling new computational studies, and building new tools and workflows. We also look at the ongoing validation of AlphaFold2, as its predictions continue to be compared against large numbers of experimental structures to further delineate the model's capabilities and limitations.