H. M. Vinkers

发表

Computational drug design : Method development and application to HIV inhibitor design

H. M. Vinkers, 2004 .

Multivariate adaptive regression splines—studies of HIV reverse transcriptase inhibitors

H. M. Vinkers, D. Massart, M. Daszykowski, 2004 .

Roles of conformational and positional adaptability in structure-based design of TMC125-R165335 (etravirine) and related non-nucleoside reverse transcriptase inhibitors that are highly potent and effective against wild-type and drug-resistant HIV-1 variants.

H. M. Vinkers, A. D. Clark, R. Pauwels, 2004, Journal of medicinal chemistry.

SYNOPSIS: SYNthesize and OPtimize System in Silico.

H. M. Vinkers, J. H. van Lenthe, F. Daeyaert, 2003, Journal of medicinal chemistry.

Ab Initio potential grid based docking: From High Performance Computing to In Silico Screening

H. M. Vinkers, H. V. Dam, F. Daeyaert, 2007 .

Improving QSAR models for the biological activity of HIV Reverse Transcriptase inhibitors: Aspects of outlier detection and uninformative variable elimination.

H. M. Vinkers, D. Massart, M. Daszykowski, 2005, Talanta.

Classification and Regression Trees-Studies of HIV Reverse Transcriptase Inhibitors

Desire L. Massart, Beata Walczak, Paul J. Lewi, 2004, J. Chem. Inf. Model..

Structure based activity prediction of HIV-1 reverse transcriptase inhibitors.

Paul J Lewi, H. M. Vinkers, F. Daeyaert, 2005, Journal of medicinal chemistry.

Ab initio calculations on iron-porphyrin model systems for intermediates in the oxidative cycle of cytochrome P450s

Nico P. E. Vermeulen, H. Maarten Vinkers, Joop H. van Lenthe, 1998, J. Comput. Aided Mol. Des..

Inhibition and substrate recognition – a computational approach applied to HIV protease

Paul J. Lewi, H. Maarten Vinkers, Marc R. de Jonge, 2003, J. Comput. Aided Mol. Des..

On the detection of multiple-binding modes of ligands to proteins, from biological, structural, and modeling data

Eddy Arnold, Paul J. Lewi, Kalyan Das, 2003, J. Comput. Aided Mol. Des..