Zhichen Gong — accepted AI-conference papers

2024

Knowledge-aware Reinforced Language Models for Protein Directed Evolution

Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong +5

ICML 2024poster

Directed evolution, a cornerstone of protein optimization, is to harness natural mutational processes to enhance protein functionality. Existing Machine Learning-assisted Directed Evolution (MLDE) methodologies typically rely on data-driven strategies and often overlook the profound domain knowledge…

Cited by 2 Source ↗PDF ↗Scholar ↗

2023

Multi-level Protein Structure Pre-training via Prompt Learning

Zeyuan Wang, Qiang Zhang, Shuang-Wei HU, Haoran Yu, Xurui Jin, Zhichen Gong +1

ICLR 2023poster

A protein can focus on different structure levels to implement its functions. Each structure has its own merit and driving forces in describing some specific characteristics, and they cannot replace each other. Most existing function prediction methods take the tertiary structure as input, unintenti…

Cited by 45 Source ↗PDF ↗Scholar ↗