📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking. (2010)

First Author: Ballester PJ

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/bioinformatics/btq112

PubMed Identifier: 20236947

Publication URI: http://europepmc.org/abstract/MED/20236947

Type: Journal Article/Review

Volume: 26

Parent Publication: Bioinformatics (Oxford, England)

Issue: 9

ISSN: 1367-4803