An Overview of Alphafold's Breakthrough

Ştefan Bogdan Marcu; Sabin Tăbîrcă; Mark Tangney

doi:10.3389/frai.2022.875587

An Overview of Alphafold's Breakthrough

Ştefan Bogdan Marcu
, Sabin Tăbîrcă
, Mark Tangney

School of Computer Science and Information Technology

Research output: Contribution to journal › Review article › peer-review

Abstract

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.

Original language	English
Article number	875587
Journal	Frontiers in Artificial Intelligence
Volume	5
DOIs	https://doi.org/10.3389/frai.2022.875587
Publication status	Published - 9 Jun 2022

Keywords

AI
AlphaFold
AlphaFold2
CASP
deep learning
neural networks
protein folding
transformers

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10.3389/frai.2022.875587

Cite this

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abstract = "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.",

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AB - 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.

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KW - AlphaFold2

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KW - deep learning

KW - neural networks

KW - protein folding

KW - transformers

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An Overview of Alphafold's Breakthrough

Abstract

Keywords

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