Pharmacophore features for machine learning in pharmaceutical virtual screening

被引:0
作者
Xiaojing Wang
Wenxiu Han
Xin Yan
Jun Zhang
Mengqi Yang
Pei Jiang
机构
[1] Jining Medical University,Jining First People’s Hospital
[2] Sun Yat-sen University,Research Center for Drug Discovery, School of Pharmaceutical Sciences
[3] The First Affiliated Hospital of Zhengzhou University,Department of Pharmacy
来源
Molecular Diversity | 2020年 / 24卷
关键词
Pharmacophore; Feature; Virtual screening; Machine learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:407 / 412
页数:5
相关论文
共 67 条
  • [1] Ballester PJ(2007)Ultrafast shape recognition to search compound databases for similar molecular shapes J Comput Chem 28 1711-1723
  • [2] Richards WG(2007)Toward high throughput 3D virtual screening using spherical harmonic surface representations J Chem Inf Model 47 1787-1796
  • [3] Mavridis L(2010)Molecular shape and medicinal chemistry: a perspective J Med Chem 53 3862-3886
  • [4] Hudson BD(2009)ShaEP: molecular overlay based on shape and electrostatic potential J Chem Inf Model 49 492-502
  • [5] Ritchie DW(2011)SHAFTS: a hybrid approach for 3D molecular similarity calculation. 1. Method and assessment of virtual screening J Chem Inf Model 51 2372-2385
  • [6] Nicholls A(2007)Comparison of shape-matching and docking as virtual screening tools J Med Chem 50 74-82
  • [7] McGaughey GB(2013)Enhancing molecular shape comparison by weighted Gaussian functions J Chem Inf Model 53 1967-1978
  • [8] Sheridan RP(1996)A fast method of molecular shape comparison: a simple application of a Gaussian description of molecular shape J Comput Chem 17 1653-1666
  • [9] Good AC(2016)ROCS-derived features for virtual screening J Comput Aided Mol Des 30 609-617
  • [10] Warren G(2009)Machine learning in virtual screening Comb Chem High Throughput Screen 12 332-343