MAESD: A Unified Multi-Agent Evolutionary Framework for Protein Sequence Design
Published in Journal of Chemical Information and Modeling (中科院2区), 2025
Z. Song, Hailong Yang, Z. Deng et al. Journal of Chemical Information and Modeling 2025 (SCI Q2, 中科院2区).
MAESD: A Unified Multi-Agent Evolutionary Framework for Protein Sequence Design
This paper presents MAESD, a unified multi-agent evolutionary framework for protein sequence design. The framework leverages multi-agent collaboration and evolutionary strategies to optimize protein sequences for desired structural and functional properties.
Published in Journal of Chemical Information and Modeling (JCIM), 2025. (SCI Q2, 中科院2区)
Second author.
