虚拟筛选
药品
药物发现
计算生物学
计算机科学
配体(生物化学)
数据科学
纳米技术
药理学
医学
化学
生物
生物信息学
材料科学
生物化学
受体
作者
Stefano Moro,Magdalena Bacilieri,Francesca Deflorian
标识
DOI:10.1517/17460441.2.1.37
摘要
The aim of virtual high-throughput screening is the identification of biologically relevant molecules among either tangible or virtual (large) collections of compounds. Likewise, high-throughput screening (HTS) and high-throughput virtual screening (HTVS) methods are becoming very important within the drug discovery process. HTVS methods can be categorised as either 'ligand-based' or 'structure-based' depending on if a direct knowledge of the three-dimensional target structure is required. A summary of the most promising computational approaches is reviewed. Advantages and shortcomings of the methodology are also discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI