Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field

Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field

Proteins are some of the most fascinating and challenging molecules in the universe, and they pose a big challenge for artificial intelligence. The implementation of machine learning/AI in protein science gives rise to a world of knowledge adventures in the workhorse of the cell and proteome homeost...

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Bibliographic Details
Main Authors: Jalil Villalobos-Alva, Luis Ochoa-Toledo, Mario Javier Villalobos-Alva, Atocha Aliseda, Fernando Pérez-Escamirosa, Nelly F. Altamirano-Bustamante, Francine Ochoa-Fernández, Ricardo Zamora-Solís, Sebastián Villalobos-Alva, Cristina Revilla-Monsalve, Nicolás Kemper-Valverde, Myriam M. Altamirano-Bustamante
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
artificial intelligence
proteins
protein design and engineering
machine learning
deep learning
protein prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.788300/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2022.788300/full

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