Unexpected Applications of AlphaFold in Molecular Sciences

AlphaFold, a groundbreaking artificial intelligence model developed by DeepMind, has transformed the field of structural biology by predicting protein structures with unprecedented accuracy. Despite its widespread recognition and application across academia and industry, comprehensive reviews detailing AlphaFold's unexpected applications within the molecular sciences remain scarce. In this review, we critically examine AlphaFold's emerging roles across diverse molecular scientific disciplines. Specifically, we highlight its applications in enzyme engineering and drug development, nucleic acid modeling and vaccine design, the development of protein-based materials and targeted drug delivery systems, and modeling of complex systems and biological networks. To conclude, the review outlines potential future developments and enduring challenges within the application of AlphaFold to molecular sciences. Overall, this review aims to systematically analyze the most recent advances; explore novel interdisciplinary applications of AlphaFold within the realms of biology, chemistry, and materials science; and offer insights into future directions for research and application.

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Publication Details

Journal
Annual Review of Biochemistry
Published
2026-03-09
DOI
https://doi.org/10.1146/annurev-biochem-051424-071952
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Unexpected Applications of AlphaFold in Molecular Sciences

B. S. Shengping Zhang, Benjamin Jones, Huahai Qiu, Gang Wei et al.
Annual Review of Biochemistry
Protein Structure and Dynamics
article

Unexpected Applications of AlphaFold in Molecular Sciences

B. S. Shengping Zhang, Benjamin Jones, Huahai Qiu, Gang Wei, Yazhou Shi, Guilin Wang, Tianshou Zhou, Jian Jiang, Nicole Hayes, Daixin Li
article en

Abstract

AlphaFold, a groundbreaking artificial intelligence model developed by DeepMind, has transformed the field of structural biology by predicting protein structures with unprecedented accuracy. Despite its widespread recognition and application across academia and industry, comprehensive reviews detailing AlphaFold's unexpected applications within the molecular sciences remain scarce. In this review, we critically examine AlphaFold's emerging roles across diverse molecular scientific disciplines. Specifically, we highlight its applications in enzyme engineering and drug development, nucleic acid modeling and vaccine design, the development of protein-based materials and targeted drug delivery systems, and modeling of complex systems and biological networks. To conclude, the review outlines potential future developments and enduring challenges within the application of AlphaFold to molecular sciences. Overall, this review aims to systematically analyze the most recent advances; explore novel interdisciplinary applications of AlphaFold within the realms of biology, chemistry, and materials science; and offer insights into future directions for research and application.

Annual Review of Biochemistry
Sun Yat-sen University (CN), Wuhan Textile University (CN), Michigan State University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Protein Structure and Dynamics
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Unexpected Applications of AlphaFold in Molecular Sciences — B. S. Shengping Zhang, Benjamin Jones, et al. · Annual Review of Biochemistry (2026) | TGRS Research Map | TGRS