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Disha Gupta-Ostermann

Showing results (1-10 of 10) with videos related to

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F1000Research|November 13, 2014
The 'SAR Matrix' method and its extensions for applications in medicinal chemistry and chemogenomicsDisha Gupta-Ostermann, Jürgen Bajorath
Journal of Chemical Information and Modeling|September 26, 2012
Identification of multitarget activity ridges in high-dimensional bioactivity spacesDisha Gupta-Ostermann, Jürgen Bajorath
Journal of Chemical Information and Modeling|March 6, 2014
Neighborhood-based prediction of novel active compounds from SAR matricesDisha Gupta-Ostermann, Veerabahu Shanmugasundaram, Jürgen Bajorath
Journal of Computer-Aided Molecular Design|August 27, 2013
Systematic mining of analog series with related core structures in multi-target activity spaceDisha Gupta-Ostermann, Ye Hu, Jürgen Bajorath
Computational and Structural Biotechnology Journal|April 2, 2014
Exploring compound promiscuity patterns and multi-target activity spacesYe Hu, Disha Gupta-Ostermann, Jürgen Bajorath
Journal of Medicinal Chemistry|May 11, 2012
Introducing the LASSO graph for compound data set representation and structure-activity relationship analysisDisha Gupta-Ostermann, Ye Hu, Jürgen Bajorath
Molecular Informatics|August 5, 2016
Hit Expansion from Screening Data Based upon Conditional Probabilities of Activity Derived from SAR MatricesDisha Gupta-Ostermann, Jenny Balfer, Jürgen Bajorath
Journal of Chemical Information and Modeling|March 23, 2012
Graph mining for SAR transfer seriesDisha Gupta-Ostermann, Mathias Wawer, Anne Mai Wassermann, et al.
F1000Research|December 5, 2017
Follow-up: Prospective compound design using the 'SAR Matrix' method and matrix-derived conditional probabilities of activityDisha Gupta-Ostermann, Yoichiro Hirose, Takenao Odagami, et al.
Journal of Chemical Information and Modeling|May 8, 2014
Prediction of compounds in different local structure-activity relationship environments using emerging chemical patternsVigneshwaran Namasivayam, Disha Gupta-Ostermann, Jenny Balfer, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
F1000Research|November 13, 2014
The 'SAR Matrix' method and its extensions for applications in medicinal chemistry and chemogenomicsDisha Gupta-Ostermann, Jürgen Bajorath
Journal of Chemical Information and Modeling|September 26, 2012
Identification of multitarget activity ridges in high-dimensional bioactivity spacesDisha Gupta-Ostermann, Jürgen Bajorath
Journal of Chemical Information and Modeling|March 6, 2014
Neighborhood-based prediction of novel active compounds from SAR matricesDisha Gupta-Ostermann, Veerabahu Shanmugasundaram, Jürgen Bajorath
Journal of Computer-Aided Molecular Design|August 27, 2013
Systematic mining of analog series with related core structures in multi-target activity spaceDisha Gupta-Ostermann, Ye Hu, Jürgen Bajorath
Computational and Structural Biotechnology Journal|April 2, 2014
Exploring compound promiscuity patterns and multi-target activity spacesYe Hu, Disha Gupta-Ostermann, Jürgen Bajorath
Journal of Medicinal Chemistry|May 11, 2012
Introducing the LASSO graph for compound data set representation and structure-activity relationship analysisDisha Gupta-Ostermann, Ye Hu, Jürgen Bajorath
Molecular Informatics|August 5, 2016
Hit Expansion from Screening Data Based upon Conditional Probabilities of Activity Derived from SAR MatricesDisha Gupta-Ostermann, Jenny Balfer, Jürgen Bajorath
Journal of Chemical Information and Modeling|March 23, 2012
Graph mining for SAR transfer seriesDisha Gupta-Ostermann, Mathias Wawer, Anne Mai Wassermann, et al.
F1000Research|December 5, 2017
Follow-up: Prospective compound design using the 'SAR Matrix' method and matrix-derived conditional probabilities of activityDisha Gupta-Ostermann, Yoichiro Hirose, Takenao Odagami, et al.
Journal of Chemical Information and Modeling|May 8, 2014
Prediction of compounds in different local structure-activity relationship environments using emerging chemical patternsVigneshwaran Namasivayam, Disha Gupta-Ostermann, Jenny Balfer, et al.
Pageof 1