TargetHunter: An In Silico Target Identification Tool for Predicting Therapeutic Potential of Small Organic Molecules Based on Chemogenomic Database

标题
TargetHunter: An In Silico Target Identification Tool for Predicting Therapeutic Potential of Small Organic Molecules Based on Chemogenomic Database
作者
关键词
ChEMBL, chemogenomics, machine learning, target identification, TargetHunter
出版物
AAPS Journal
Volume 15, Issue 2, Pages 395-406
出版商
American Association of Pharmaceutical Scientists (AAPS)
发表日期
2013-01-05
DOI
10.1208/s12248-012-9449-z

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started