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Dr. Marc Nicklaus



Dr. Marc Nicklaus
Computer-Aided Drug Design
301-846-5903

Research Summary

Computer-Aided Drug Design

The Computer-Aided Drug Design (CADD) Group is a research unit within the Chemical Biology Laboratory (CBL) that employs, analyzes, and develops computer-based methods to aid in the drug discovery, design, and development projects of the CBL and other researchers at the NIH. We split our efforts evenly among support-type projects and research projects initiated and conducted by CADD staff members. 
PublicationsPatents
1 - 5 of 117 results

1)  Weidlich IE, Filippov IV, Brown J, Kaushik-Basu N, Krishnan R, Nicklaus MC, Thorpe IF.
Inhibitors for the hepatitis C virus RNA polymerase explored by SAR with advanced machine learning methods.
Bioorg. Med. Chem. [Epub ahead of print], 2013. [Journal]

2)  Peach ML, Zakharov AV, Liu R, Pugliese A, Tawa G, Wallqvist A, Nicklaus MC.
Computational tools and resources for metabolism-related property predictions. 1. Overview of publicly available (free and commercial) databases and software.
Future Med Chem. 4: 1907-32, 2012. [Journal]

3)  Zakharov AV, Peach ML, Sitzmann M, Filippov IV, McCartney HJ, Smith LH, Pugliese A, Nicklaus MC.
Computational tools and resources for metabolism-related property predictions. 2. Application to prediction of half-life time in human liver microsomes.
Future Med Chem. 4: 1933-44, 2012. [Journal]

4)  Muresan S, Sitzmann M, Southan C.
Mapping between databases of compounds and protein targets.
Methods Mol. Biol. 910: 145-64, 2012. [Journal]

5)  Geczy T, Peach ML, El Kazzouli S, Sigano DM, Kang J, Valle CJ, Selezneva J, Woo W, Kedei N, Lewin NE, Garfield SH, Lim L, Mannan P, Marquez VE, Blumberg PM.
Molecular Basis for Failure of "Atypical" C1 Domain of Vav1 to Bind Diacylglycerol/Phorbol Ester.
J. Biol. Chem. 287: 13137-58, 2012. [Journal]

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