Predicting promiscuity

Andrew L. Hopkins
Additional contact information
Andrew L. Hopkins: College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK. a.hopkins@dundee.ac.uk

Nature, 2009, vol. 462, issue 7270, 167-168

Abstract: Computational methods that reliably predict the biological activities of compounds have long been sought. The validation of one such method suggests that in silico predictions for drug discovery have come of age.

Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/462167a Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:462:y:2009:i:7270:d:10.1038_462167a

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/462167a

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().