相关实验视频

Updated: Jul 1, 2025

Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain
14:25

Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain

Published on: December 12, 2017

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用生成式预训练变压器和深度强化学习优化化学空间中的结合亲和关系

Xiaopeng Xu1,2, Juexiao Zhou1,2, Chen Zhu3

  • 1Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.

F1000Research
|March 4, 2024
PubMed
概括

一种新方法,SGPT-RL,使用生成预训练变压器 (GPT) 和强化学习 (RL) 来优化药物化合物结合亲和力. SGPT-RL在药物发现方面表现有前途,在特定任务中表现优于现有方法,并有助于设计新型主要候选药物.

关键词:
药物设计 药物设计击中发现的发现.分子对接的分子对接.强化学习是一种强化学习.变压器 变压器 变压器

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