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Article

From high-throughput evaluation to wet-lab studies: advancing mutation effect prediction with a retrieval-enhanced model.

Bioinformatics (Oxford, England) - 1 Jul 2025

Tan Yang, Wang Ruilin, Wu Banghao, Hong Liang, Zhou Bingxin

Abstract excerpt

MOTIVATION: Enzyme engineering is a critical approach for producing enzymes that meet industrial and research demands by modifying wild-type proteins to enhance properties such as catalytic activity and thermostability. Beyond traditional directed evolution and rational design, recent advancements in deep learning offer cost-effective and high-performance alternatives. By encoding implicit coevolutionary...

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Topics

Mutation
Protein Engineering
Computational Biology
Deep Learning

Source

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 40662802
DOI: 10.1093/bioinformatics/btaf189
PMCID: PMC12261477

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