An Overview of Alphafold's Breakthrough.

AI AlphaFold AlphaFold2 CASP deep learning neural networks protein folding transformers

Journal

Frontiers in artificial intelligence
ISSN: 2624-8212
Titre abrégé: Front Artif Intell
Pays: Switzerland
ID NLM: 101770551

Informations de publication

Date de publication:
2022
Historique:
received: 14 02 2022
accepted: 02 05 2022
entrez: 27 6 2022
pubmed: 28 6 2022
medline: 28 6 2022
Statut: epublish

Résumé

This paper presents a short summary of the protein folding problem, what it is and why it is significant. Introduces the CASP competition and how accuracy is measured. Looks at different approaches for solving the problem followed by a review of the current breakthroughs in the field introduced by AlphaFold 1 and AlphaFold 2.

Identifiants

pubmed: 35757294
doi: 10.3389/frai.2022.875587
pmc: PMC9218062
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

875587

Informations de copyright

Copyright © 2022 Marcu, Tăbîrcă and Tangney.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Ştefan-Bogdan Marcu (ŞB)

Department of Computer Science, University College Cork, Cork, Ireland.

Sabin Tăbîrcă (S)

Department of Computer Science, University College Cork, Cork, Ireland.
Department of Informatics, Faculty of Informatics and Mathematics, Transilvania University, Brasov, Romania.

Mark Tangney (M)

Department of Computer Science, University College Cork, Cork, Ireland.

Classifications MeSH