Epernicus: Joerg K Wegner, Ph.D.

Joerg K Wegner, Ph.D.

Positions:
scientist

Modeling Intelligence

Tibotec, Inc. (Mechelen, Belgium)

scientist

Modeling Intelligence

Johnson & Johnson (New Brunswick, NJ)
Degrees:

Ph.D., Cheminformatics and Modeling, Centre of Bioinformatics Tübingen
Past Advisors:
Research:
Other Experience:
2008-present Antiviral drug design, lead optimization, HIV, resistance prediction

Communities:

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Molecular query language (MQL)--a context-free grammar for substructure matching.
Proschak E, Wegner JK, Schüller A, Schneider G, Fechner U

Journal of chemical information and modeling. 2007 Mar-Apr;47(2):295-301
Recent advances in chemoinformatics.
Agrafiotis DK, Bandyopadhyay D, Wegner JK, Vlijmen H

Journal of chemical information and modeling. 2007 Jul-Aug;47(4):1279-93
Feature selection for descriptor based classification models. 1. Theory and GA-SEC algorithm.
Wegner JK, Fröhlich H, Zell A

Journal of chemical information and computer sciences. 2004 May-Jun;44(3):921-30
Feature selection for descriptor based classification models. 2. Human intestinal absorption (HIA).
Wegner JK, Fröhlich H, Zell A

Journal of chemical information and computer sciences. 2004 May-Jun;44(3):931-9
The compressed feature matrix--a fast method for feature based substructure search.
Abolmaali SF, Wegner JK, Zell A

Journal of molecular modeling. 2003 Aug;9(4):235-41
Prediction of aqueous solubility and partition coefficient optimized by a genetic algorithm based descriptor selection method.
Wegner JK, Zell A

Journal of chemical information and computer sciences. 2003 May-Jun;43(3):1077-84

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