秦兆辉

研究方向

• 系统生物学
• 生成式蛋白质设计
• 蛋白质功能预测
• 蛋白质语言模型

教育背景

• 河南农业大学，硕士
• 河南农业大学，博士研究生（在读）

代表论著

1. Simplifying in silico protein evolution with minimal screening by unZiproMolecular Cell · 2026
2. PlantPTM: A deep learning framework integrating protein language models with multi-view features for predicting diverse post-translational modification sites in plantsMolecular Plant · 2026
3. AI sheds new light on genome editingTrends in Biotechnology · 2025
4. SLAM: Structure-aware lysine β-hydroxybutyrylation prediction with protein language modelInternational Journal of Biological Macromolecules · 2024
5. Current computational tools for protein lysine acylation site predictionBriefings in Bioinformatics · 2024