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Journal of Computer-Aided Molecular Design
|
March 28, 2019
Systematic computational identification of promiscuity cliff pathways formed by inhibitors of the human kinome
Filip Miljković, Martin Vogt, Jürgen Bajorath
Scientific Reports
|
October 9, 2025
A meta-learning framework to mitigate negative transfer in transfer learning applicable to drug design
Antonia Mera, Martin Vogt, Jürgen Bajorath
Molecular Informatics
|
April 14, 2020
From SAR Diagnostics to Compound Design: Development Chronology of the Compound Optimization Monitor (COMO) Method
Dimitar Yonchev, Martin Vogt, Jürgen Bajorath
Angewandte Chemie (International Ed. in English)
|
March 5, 2003
Hydrogen-bonded sugar-alcohol trimers as hexadentate silicon chelators in aqueous solution
Klaus Benner, Peter Klüfers, Martin Vogt
ACS Omega
|
July 20, 2018
Extracting Compound Profiling Matrices from Screening Data
Martin Vogt, Swarit Jasial, Jürgen Bajorath
Medchemcomm
|
August 16, 2018
Tracing compound pathways using chemical space networks
Ryo Kunimoto, Martin Vogt, Jürgen Bajorath
Journal of Chemical Information and Modeling
|
June 2, 2009
Development of a fingerprint reduction approach for Bayesian similarity searching based on Kullback-Leibler divergence analysis
Britta Nisius, Martin Vogt, Jürgen Bajorath
ACS Omega
|
September 28, 2020
Quantitative Comparison of Three-Dimensional Activity Landscapes of Compound Data Sets Based upon Topological Features
Javed Iqbal, Martin Vogt, Jürgen Bajorath
Journal of Computer-Aided Molecular Design
|
March 19, 2021
Prediction of activity cliffs on the basis of images using convolutional neural networks
Javed Iqbal, Martin Vogt, Jürgen Bajorath
ACS Omega
|
July 20, 2018
Support Vector Machine Classification and Regression Prioritize Different Structural Features for Binary Compound Activity and Potency Value Prediction
Raquel Rodríguez-Pérez, Martin Vogt, Jürgen Bajorath
Page
of 9
Search research articles
Search
Showing results (31-40 of 87) with videos related to
Sort By:
Page
of 9
Journal of Computer-Aided Molecular Design
|
March 28, 2019
Systematic computational identification of promiscuity cliff pathways formed by inhibitors of the human kinome
Filip Miljković, Martin Vogt, Jürgen Bajorath
Scientific Reports
|
October 9, 2025
A meta-learning framework to mitigate negative transfer in transfer learning applicable to drug design
Antonia Mera, Martin Vogt, Jürgen Bajorath
Molecular Informatics
|
April 14, 2020
From SAR Diagnostics to Compound Design: Development Chronology of the Compound Optimization Monitor (COMO) Method
Dimitar Yonchev, Martin Vogt, Jürgen Bajorath
Angewandte Chemie (International Ed. in English)
|
March 5, 2003
Hydrogen-bonded sugar-alcohol trimers as hexadentate silicon chelators in aqueous solution
Klaus Benner, Peter Klüfers, Martin Vogt
ACS Omega
|
July 20, 2018
Extracting Compound Profiling Matrices from Screening Data
Martin Vogt, Swarit Jasial, Jürgen Bajorath
Medchemcomm
|
August 16, 2018
Tracing compound pathways using chemical space networks
Ryo Kunimoto, Martin Vogt, Jürgen Bajorath
Journal of Chemical Information and Modeling
|
June 2, 2009
Development of a fingerprint reduction approach for Bayesian similarity searching based on Kullback-Leibler divergence analysis
Britta Nisius, Martin Vogt, Jürgen Bajorath
ACS Omega
|
September 28, 2020
Quantitative Comparison of Three-Dimensional Activity Landscapes of Compound Data Sets Based upon Topological Features
Javed Iqbal, Martin Vogt, Jürgen Bajorath
Journal of Computer-Aided Molecular Design
|
March 19, 2021
Prediction of activity cliffs on the basis of images using convolutional neural networks
Javed Iqbal, Martin Vogt, Jürgen Bajorath
ACS Omega
|
July 20, 2018
Support Vector Machine Classification and Regression Prioritize Different Structural Features for Binary Compound Activity and Potency Value Prediction
Raquel Rodríguez-Pérez, Martin Vogt, Jürgen Bajorath
Page
of 9