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Martin Vogt

Showing results (51-60 of 87) with videos related to

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F1000Research|May 10, 2016
Activity-relevant similarity values for fingerprints and implications for similarity searchingSwarit Jasial, Ye Hu, Martin Vogt, et al.
Journal of Computer-Aided Molecular Design|February 1, 2015
Introducing the 'active search' method for iterative virtual screeningRoman Garnett, Thomas Gärtner, Martin Vogt, et al.
Journal of Chemical Information and Modeling|October 22, 2010
Identification of descriptors capturing compound class-specific features by mutual information analysisAnne Mai Wassermann, Britta Nisius, Martin Vogt, et al.
Journal of Chemical Information and Modeling|November 29, 2012
Systematic assessment of compound series with SAR transfer potentialBijun Zhang, Anne Mai Wassermann, Martin Vogt, et al.
Journal of Computer-Aided Molecular Design|December 24, 2015
Design of chemical space networks on the basis of Tversky similarityMengjun Wu, Martin Vogt, Gerald M Maggiora, et al.
Journal of Computer-Aided Molecular Design|November 10, 2015
Erratum to: design of chemical space networks using a Tanimoto similarity variant based upon maximum common substructuresBijun Zhang, Martin Vogt, Gerald M Maggiora, et al.
Journal of Computer-Aided Molecular Design|December 4, 2014
Design and characterization of chemical space networks for different compound data setsMagdalena Zwierzyna, Martin Vogt, Gerald M Maggiora, et al.
Journal of Computer-Aided Molecular Design|June 8, 2015
Comparison of bioactive chemical space networks generated using substructure- and fingerprint-based measures of molecular similarityBijun Zhang, Martin Vogt, Gerald M Maggiora, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 21, 2011
Information entropic functions for molecular descriptor profilingAnne Mai Wassermann, Britta Nisius, Martin Vogt, et al.
Journal of Computer-Aided Molecular Design|March 7, 2016
Lessons learned from the design of chemical space networks and opportunities for new applicationsMartin Vogt, Dagmar Stumpfe, Gerald M Maggiora, et al.
Pageof 9

Showing results (51-60 of 87) with videos related to

Sort By:
Pageof 9
F1000Research|May 10, 2016
Activity-relevant similarity values for fingerprints and implications for similarity searchingSwarit Jasial, Ye Hu, Martin Vogt, et al.
Journal of Computer-Aided Molecular Design|February 1, 2015
Introducing the 'active search' method for iterative virtual screeningRoman Garnett, Thomas Gärtner, Martin Vogt, et al.
Journal of Chemical Information and Modeling|October 22, 2010
Identification of descriptors capturing compound class-specific features by mutual information analysisAnne Mai Wassermann, Britta Nisius, Martin Vogt, et al.
Journal of Chemical Information and Modeling|November 29, 2012
Systematic assessment of compound series with SAR transfer potentialBijun Zhang, Anne Mai Wassermann, Martin Vogt, et al.
Journal of Computer-Aided Molecular Design|December 24, 2015
Design of chemical space networks on the basis of Tversky similarityMengjun Wu, Martin Vogt, Gerald M Maggiora, et al.
Journal of Computer-Aided Molecular Design|November 10, 2015
Erratum to: design of chemical space networks using a Tanimoto similarity variant based upon maximum common substructuresBijun Zhang, Martin Vogt, Gerald M Maggiora, et al.
Journal of Computer-Aided Molecular Design|December 4, 2014
Design and characterization of chemical space networks for different compound data setsMagdalena Zwierzyna, Martin Vogt, Gerald M Maggiora, et al.
Journal of Computer-Aided Molecular Design|June 8, 2015
Comparison of bioactive chemical space networks generated using substructure- and fingerprint-based measures of molecular similarityBijun Zhang, Martin Vogt, Gerald M Maggiora, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 21, 2011
Information entropic functions for molecular descriptor profilingAnne Mai Wassermann, Britta Nisius, Martin Vogt, et al.
Journal of Computer-Aided Molecular Design|March 7, 2016
Lessons learned from the design of chemical space networks and opportunities for new applicationsMartin Vogt, Dagmar Stumpfe, Gerald M Maggiora, et al.
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