{"id":"doi:10.1016/j.jmb.2021.167336","kind":"review","title":"The AlphaFold Database of Protein Structures: A Biologist's Guide","authors":["David A","Islam S","Tankhilevich E","Sternberg MJE"],"author_count":4,"year":2022,"published":"2021-10-29","venue":"Journal of molecular biology","cited_by":193,"doi":"10.1016/j.jmb.2021.167336","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.jmb.2021.167336","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.jmb.2021.167336","updated":null,"pmid":"34757056","pmcid":"PMC8783046","openalex_id":null,"pdf_url":"https://europepmc.org/articles/PMC8783046/pdf","abstract":"AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensional models of the whole human proteome to the scientific community. Here we discuss the advantages, limitations and the still unsolved challenges of the AlphaFold models from the perspective of a biologist, who may not be an expert in structural biology.","abstract_license":"CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)","license":"CC-BY","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":[],"details":null,"provenance":"europepmc","attribution":"Abstract of \"The AlphaFold Database of Protein Structures: A Biologist's Guide\" by David A, Islam S, Tankhilevich E et al., https://doi.org/10.1016/j.jmb.2021.167336, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.","topics":[{"slug":"protein-design","name":"AI Protein Design & Structure Prediction","domain_slug":"biotech"}],"cited_in_dossiers":[]}