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Song Ouyang

2 accepted papers

2026

PDAgent: An LLM-Driven Autonomous Agent Framework Towards *In Silico* Protein Design via Directed Mutation

ICML 2026poster

Computational protein design holds immense promise across diverse domains, but existing approaches face significant challenges: traditional physics-based methods require substantial domain expertise, while emerging deep learning methods often rely on restricted functional ontologies, struggle to bri…

Cited by 0SourceScholar
2024

MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins

NeurIPS 2024poster

The accurate identification of active sites in proteins is essential for the advancement of life sciences and pharmaceutical development, as these sites are of critical importance for enzyme activity and drug design. Recent advancements in protein language models (PLMs), trained on extensive dataset…