Work

Accelerating protein engineering: an integrated framework combines protein language models and epistatic landscape modeling

Year: 2026

Type: article

Abstract: In a recent study published in Science , Tran et al. introduced MULTI-evolve (model guided, universal, targeted installation of multimutants), a machine learning-guided directed evolution (MLDE) framework that rapidly designs hyperactive multimutant proteins. 1 By integrating protein language models (PLMs), epistasis-aware modeling, and a high-efficiency multisite mutagenesis platform, the authors address the major combinatorial challenge that has long bottlenecked protein engineering and therapeutic development.

Source: Signal Transduction and Targeted Therapy

DOI: 10.1038/s41392-026-02944-6

Authors: Jeongyoung Koo, Young-Ho Park, Sun-Uk Kim

Institutions: Korea Research Institute of Bioscience and Biotechnology, Korea University of Science and Technology

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,790

Funders: Korea Research Institute of Bioscience and Biotechnology, National Research Foundation of Korea, National Research Council of Science and Technology