Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Substructure Mining Using Elaborate Chemical Representation.

J. Kazius, S. Nijssen, J. Kok, T. Bäck, and A. IJzerman. Journal of Chemical Information and Modeling, 46 (2): 597-605 (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Proteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.S. Paricharak, I. Cortes-Ciriano, A. IJzerman, T. Malliavin, and A. Bender. J. Cheminformatics, (2015)Substructure Mining Using Elaborate Chemical Representation.J. Kazius, S. Nijssen, J. Kok, T. Bäck, and A. IJzerman. Journal of Chemical Information and Modeling, 46 (2): 597-605 (2006)Interacting with GPCRs: Using Interaction Fingerprints for Virtual Screening.E. Lenselink, W. Jespers, H. van Vlijmen, A. IJzerman, and G. van Westen. Journal of Chemical Information and Modeling, 56 (10): 2053-2060 (2016)Substructure Mining of GPCR Ligands Reveals Activity-Class Specific Functional Groups in an Unbiased Manner.E. van der Horst, Y. Okuno, A. Bender, and A. IJzerman. Journal of Chemical Information and Modeling, 49 (2): 348-360 (2009)Using data mining to improve mutation in a tool for molecular evolution.E. Lameijer, A. IJzerman, and J. Kok. Congress on Evolutionary Computation, page 314-321. IEEE, (2005)A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization.E. van der Horst, J. Peironcely, A. IJzerman, M. Beukers, J. Lane, H. van Vlijmen, M. Emmerich, Y. Okuno, and A. Bender. BMC Bioinformatics, (2010)Selecting an Optimal Number of Binding Site Waters To Improve Virtual Screening Enrichments Against the Adenosine A2A Receptor.E. Lenselink, T. Beuming, W. Sherman, H. van Vlijmen, and A. IJzerman. Journal of Chemical Information and Modeling, 54 (6): 1737-1746 (2014)TreeSOM: Cluster analysis in the self-organizing map.E. Samsonova, J. Kok, and A. IJzerman. Neural Networks, 19 (6-7): 935-949 (2006)Benchmarking of protein descriptor sets in proteochemometric modeling (part 2): modeling performance of 13 amino acid descriptor sets.G. van Westen, R. Swier, I. Cortes-Ciriano, J. Wegner, J. Overington, A. IJzerman, H. van Vlijmen, and A. Bender. J. Cheminformatics, (2013)Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching.J. Kruisselbrink, A. Aleman, M. Emmerich, A. IJzerman, A. Bender, T. Bäck, and E. van der Horst. GECCO, page 217-224. ACM, (2009)

PUMA

Disambiguation of "IJzerman, Adriaan P."

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Substructure Mining Using Elaborate Chemical Representation.

Please choose a person to relate this publication to

P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "IJzerman, Adriaan P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Substructure Mining Using Elaborate Chemical Representation.

Please choose a person to relate this publication to

P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Substructure Mining Using Elaborate Chemical Representation.