药物发现
背景(考古学)
化学
计算生物学
生成语法
药品
药物开发
透视图(图形)
第一代
纳米技术
分子模型
生化工程
化学空间
计算机科学
分子描述符
作者
Hongxiu Xu,Jian Peng,Junlin Yu,Xuechuan Hong,Yao Xiao,Ben-Gui Ye,G. Li
标识
DOI:10.1021/acs.jmedchem.5c03310
摘要
Molecular generative models (MGMs) are rapidly reshaping the landscape of drug discovery. To date, thousands of MGMs have been reported, some of which facilitate the design and optimization of molecules with the desired biological activities and pharmacological properties. In the context of drug discovery, we classify common MGMs into three primary categories: ligand-based molecular generation (LBMG), structure-based molecular generation (SBMG), and pharmacophore-based molecular generation (PBMG). This perspective discusses the principles underlying these MGMs, their evolution, and typical examples of LBMG, SBMG, and PBMG, along with their successful applications in drug discovery. Additionally, we discuss their respective advantages, limitations, and potential future research directions with the hope of promoting the continued development and application of MGMs in advancing drug discovery.
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