Structure Prediction and Computational Protein Design for Efficient Biocatalysts and Bioactive Proteins

Rebecca Buller, Jiřı́ Damborský, Donald Hilvert, Uwe T. Bornscheuer

Angewandte Chemie International Edition 2024 article cited by 40

importance 9/10 ai assisted Protein Structure and Dynamics protein science stage: research

Predicting protein structures and designing functional proteins (efficient biocatalysts, bioactive proteins) is key to medicine, diagnostics and sustainable chemical manufacture. The paper reviews computational tools addressing this.

These tools impact medicine, diagnostics and chemical manufacture, and allow therapeutic protein targets to be modelled.

The review highlights machine-learning-based structure prediction (AlphaFold) and computational protein design, and their use in designing functional proteins for organic synthesis and drug discovery.

not stated in source

The underlying AI tools were recognized with the 2024 Nobel Prize in Chemistry, per the abstract.

Venue Angewandte Chemie International Edition
Published 2024
Work type article
Authors Rebecca Buller, Jiřı́ Damborský, Donald Hilvert, Uwe T. Bornscheuer
Citations 40 (OpenAlex, at import time)
References 81
Model or method AlphaFold; computational protein design tools
Organization not stated in source
Primary source https://doi.org/10.1002/anie.202421686
Open access hybrid
Keywords AlphaFold, protein structure prediction, computational protein design, biocatalysts, drug discovery
9 / 10

major — millions of lives, an industry or a field

Abstract states these tools fundamentally changed protein research, earned the 2024 Nobel Prize in Chemistry, and impact medicine, diagnostics, drug discovery, and sustainable chemical manufacture.

Basis: stated. The source itself states the scale. Stated scale: not stated in source. Method and limits.

# Paper Year Citations Importance
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2 Evolutionary-scale prediction of atomic-level protein structure with a language model
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3 Accurate prediction of protein structures and interactions using a three-track neural network
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4 De novo design of protein structure and function with RFdiffusion
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5 Accurate structure prediction of biomolecular interactions with AlphaFold 3
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8