z-logo
open-access-imgOpen Access
In silico prediction of chemical genotoxicity using machine learning methods and structural alerts
Author(s) -
Fan De-fang,
Hongbin Yang,
Fuxing Li,
Lixia Sun,
Peiwen Di,
Weihua Li,
Yun Tang,
Guixia Liu
Publication year - 2017
Publication title -
toxicology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.709
H-Index - 31
eISSN - 2045-4538
pISSN - 2045-452X
DOI - 10.1039/c7tx00259a
Subject(s) - genotoxicity , in silico , machine learning , artificial intelligence , computer science , data mining , chemistry , biochemistry , organic chemistry , toxicity , gene
Six machine learning methods combined with six fingerprints and 49 descriptors were utilized to predict chemical genotoxicity.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom