In Trends in biochemical sciences
Breakthrough methods in machine learning (ML), protein structure prediction, and novel ultrafast structural aligners are revolutionizing structural biology. Obtaining accurate models of proteins and annotating their functions on a large scale is no longer limited by time and resources. The most recent method to be top ranked by the Critical Appraisal Skills Program (CASP) assessment, AlphaFold 2 (AF2), is capable of building structural models with an accuracy comparable to that of experimental structures. Annotations of 3D models are keeping pace with the deposition of the structures due to advancements in protein language models (pLMs) and structural aligners that help validate these transferred annotations. In this review we describe how recent developments in ML for protein science are making large-scale structural bioinformatics available to the general scientific community.
Bordin Nicola, Dallago Christian, Heinzinger Michael, Kim Stephanie, Littmann Maria, Rauer Clemens, Steinegger Martin, Rost Burkhard, Orengo Christine
2022-Dec-08
AI, AlphaFold2, embeddings, machine learning, pLM, protein structure prediction, structure alignment
