Multitasking models for quantitative structure–biological effect relationships: current status and future perspectives to speed up drug discovery
Author:
Publisher
Informa Healthcare
Subject
Drug Discovery
Link
http://www.tandfonline.com/doi/pdf/10.1517/17460441.2015.1006195
Reference97 articles.
1. Drug Design and Discovery
2. Burger's Medicinal Chemistry and Drug Discovery
3. Hit and lead generation: beyond high-throughput screening
4. Fragment‐based Approaches in Drug Discovery
5. How to improve R&D productivity: the pharmaceutical industry's grand challenge
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