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Toward the appropriate interpretation of Alphafold2
In life science, protein is an essential building block for life forms and a crucial catalyst for metabolic reactions in organisms. The structures of protein depend on an infinity of amino acid residues' complex combinations determined by gene expression. Predicting protein folding structures h...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469483/ https://www.ncbi.nlm.nih.gov/pubmed/37664078 http://dx.doi.org/10.3389/frai.2023.1149748 |
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author | Xu, Tian Xu, Qin Li, Jianyong |
author_facet | Xu, Tian Xu, Qin Li, Jianyong |
author_sort | Xu, Tian |
collection | PubMed |
description | In life science, protein is an essential building block for life forms and a crucial catalyst for metabolic reactions in organisms. The structures of protein depend on an infinity of amino acid residues' complex combinations determined by gene expression. Predicting protein folding structures has been a tedious problem in the past seven decades but, due to robust development of artificial intelligence, astonishing progress has been made. Alphafold2, whose key component is Evoformer, is a typical and successful example of such progress. This article attempts to not only isolate and dissect every detail of Evoformer, but also raise some ideas for potential improvement. |
format | Online Article Text |
id | pubmed-10469483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104694832023-09-01 Toward the appropriate interpretation of Alphafold2 Xu, Tian Xu, Qin Li, Jianyong Front Artif Intell Artificial Intelligence In life science, protein is an essential building block for life forms and a crucial catalyst for metabolic reactions in organisms. The structures of protein depend on an infinity of amino acid residues' complex combinations determined by gene expression. Predicting protein folding structures has been a tedious problem in the past seven decades but, due to robust development of artificial intelligence, astonishing progress has been made. Alphafold2, whose key component is Evoformer, is a typical and successful example of such progress. This article attempts to not only isolate and dissect every detail of Evoformer, but also raise some ideas for potential improvement. Frontiers Media S.A. 2023-08-15 /pmc/articles/PMC10469483/ /pubmed/37664078 http://dx.doi.org/10.3389/frai.2023.1149748 Text en Copyright © 2023 Xu, Xu and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Xu, Tian Xu, Qin Li, Jianyong Toward the appropriate interpretation of Alphafold2 |
title | Toward the appropriate interpretation of Alphafold2 |
title_full | Toward the appropriate interpretation of Alphafold2 |
title_fullStr | Toward the appropriate interpretation of Alphafold2 |
title_full_unstemmed | Toward the appropriate interpretation of Alphafold2 |
title_short | Toward the appropriate interpretation of Alphafold2 |
title_sort | toward the appropriate interpretation of alphafold2 |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469483/ https://www.ncbi.nlm.nih.gov/pubmed/37664078 http://dx.doi.org/10.3389/frai.2023.1149748 |
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