Blind prediction of HIV integrase binding from the SAMPL4 challenge.

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Bibliographic Details
Title: Blind prediction of HIV integrase binding from the SAMPL4 challenge.
Authors: Mobley DL; Department of Pharmaceutical Sciences and Department of Chemistry, University of California, Irvine, 147 Bison Modular, Irvine, CA, 92697, USA, dmobley@mobleylab.org., Liu S, Lim NM, Wymer KL, Perryman AL, Forli S, Deng N, Su J, Branson K, Olson AJ
Source: Journal of computer-aided molecular design [J Comput Aided Mol Des] 2014 Apr; Vol. 28 (4), pp. 327-45. Date of Electronic Publication: 2014 Mar 05.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Review
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-4951
DOI:10.1007/s10822-014-9723-5