虚拟筛选
指纹(计算)
计算机科学
相似性(几何)
软件
数据挖掘
最近邻搜索
情报检索
下部结构
可用性
模式识别(心理学)
人工智能
药物发现
机器学习
生物信息学
人机交互
图像(数学)
工程类
生物
程序设计语言
结构工程
作者
Adrià Cereto‐Massagué,María José Ojeda,Cristina Valls,Miquel Mulero,Santiago Garcı́a-Vallvé,Gerard Pujadas
出处
期刊:Methods
[Elsevier BV]
日期:2014-08-15
卷期号:71: 58-63
被引量:866
标识
DOI:10.1016/j.ymeth.2014.08.005
摘要
Molecular fingerprints have been used for a long time now in drug discovery and virtual screening. Their ease of use (requiring little to no configuration) and the speed at which substructure and similarity searches can be performed with them – paired with a virtual screening performance similar to other more complex methods – is the reason for their popularity. However, there are many types of fingerprints, each representing a different aspect of the molecule, which can greatly affect search performance. This review focuses on commonly used fingerprint algorithms, their usage in virtual screening, and the software packages and online tools that provide these algorithms.
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