Author:
Tong Lidan,Guo Lixin,Lv Xiaojun,Li Yu
Funder
Fundamental Research Funds
National Science & Technology Pillar Program
Subject
Materials Chemistry,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Spectroscopy
Reference48 articles.
1. Consensus kNN QSAR: a versatile method for predicting the estrogenic activity of organic compounds in silico. A comparative study with five estrogen receptors and a large, diverse set of ligands;Asikainen Arja;Environ. Sci. Technol.,2005
2. Simple coumarins and analogues in medicinal chemistry: occurrence, synthesis and biological activity;Borges;Curr. Med. Chem.,2005
3. Computer-aided drug design: the role of quantitative structure-property, structure-activity and structure-metabolism relationships (QSPR, QSRA, QSMR);Buchwald;Drugs Future,2002
4. Validation of the general purpose tripos 5.2 force field;Clark;J. Comput. Chemosphere,1989
5. Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformis;Cronin Mark;Chemosphere,2002
Cited by
35 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献