Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ren, Minsi"'
Autor:
Gao, Bowen, Tan, Haichuan, Huang, Yanwen, Ren, Minsi, Huang, Xiao, Ma, Wei-Ying, Zhang, Ya-Qin, Lan, Yanyan
Recent advancements in structure-based drug design (SBDD) have significantly enhanced the efficiency and precision of drug discovery by generating molecules tailored to bind specific protein pockets. Despite these technological strides, their practic
Externí odkaz:
http://arxiv.org/abs/2406.08980
Autor:
Gao, Bowen, Ren, Minsi, Ni, Yuyan, Huang, Yanwen, Qiang, Bo, Ma, Zhi-Ming, Ma, Wei-Ying, Lan, Yanyan
In the field of Structure-based Drug Design (SBDD), deep learning-based generative models have achieved outstanding performance in terms of docking score. However, further study shows that the existing molecular generative methods and docking scores
Externí odkaz:
http://arxiv.org/abs/2403.12987
Structure-based drug design (SBDD) stands at the forefront of drug discovery, emphasizing the creation of molecules that target specific binding pockets. Recent advances in this area have witnessed the adoption of deep generative models and geometric
Externí odkaz:
http://arxiv.org/abs/2311.12035
Autor:
Gao, Bowen, Qiang, Bo, Tan, Haichuan, Ren, Minsi, Jia, Yinjun, Lu, Minsi, Liu, Jingjing, Ma, Weiying, Lan, Yanyan
Virtual screening, which identifies potential drugs from vast compound databases to bind with a particular protein pocket, is a critical step in AI-assisted drug discovery. Traditional docking methods are highly time-consuming, and can only work with
Externí odkaz:
http://arxiv.org/abs/2310.06367