Zheng Shuang
Tsinghua University
Incoming PhD student at School of Pharamaceutical Sciences
2024-10-20T17:35:16+08:00
本文提出一个可预训练的深度神经网络,利用多层次几何信息传递来模拟复杂的蛋白质-蛋白质相互作用。
2024-10-08T21:04:28+08:00
一种基于深度学习的从头蛋白质设计计算流程。
2024-10-06T15:18:49+08:00
一个用于从头蛋白质结合剂设计的开源自动化流程,实验成功率号称10-100%。BindCraft利用 AlphaFold2经过训练的深度学习权重来生成纳摩尔结合剂,而无需高通量筛选或实验优化,即使在没有已知结合位点的情况下也是如此。成功地针对多种具有挑战性的靶标设计了结合剂,包括细胞表面受体、常见过敏原、从头设计的蛋白质和多域核酸酶,例如CRISPR-Cas9。
2024-09-27T17:25:47+08:00
蛋白质设计diffusion模型 AlphaFold和RoseTTAFold在蛋白质三维结构预测方面取得的突破性进展已经向人们展示了深度学习在Zheng Shuang
Tsinghua University
Incoming PhD student at School of Pharamaceutical Sciences
2019.09 - now, PhD of Science in Structural Biology, School of Pharmacy of Tsinghua University, Beijing, China
Supervised by Dr. Xiangyu Liu
2015.09 - 2019.07, Bachelor of Biology, Wuhan University, Wuhan, China
Molecular Mechanism of the β3AR Agonist Activity of a β-Blocker
Shuang Zheng, Shuhao Zhang
Project | SCI Journal Paper
The content covered includes but is not limited to:
🧬Structure Biology
I will write conclusion about my GPCRs work.
🧪Protein generation design
I will update my protein design learning process.
💻AI4S/ Deep Learing
I will share about some interesting journals or tools about it.
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