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Samo Turk

Showing results (1-10 of 42) with videos related to

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Journal of Chemical Information and Modeling|December 23, 2017
Mol2vec: Unsupervised Machine Learning Approach with Chemical IntuitionSabrina Jaeger, Simone Fulle, Samo Turk
Journal of Chemical Information and Modeling|November 14, 2017
Coupling Matched Molecular Pairs with Machine Learning for Virtual Compound OptimizationSamo Turk, Benjamin Merget, Friedrich Rippmann, et al.
Acta Chimica Slovenica|September 25, 2013
Design and Synthesis of New Peptidomimetics as Potential Inhibitors of MurEMatej Zivec, Samo Turk, Didier Blanot, et al.
Journal of Medicinal Chemistry|May 11, 2018
From Cancer to Pain Target by Automated Selectivity Inversion of a Clinical CandidateSamo Turk, Benjamin Merget, Sameh Eid, et al.
Molecular and Cellular Endocrinology|September 4, 2008
Discovery of new inhibitors of aldo-keto reductase 1C1 by structure-based virtual screeningPetra Brozic, Samo Turk, Tea Lanisnik Rizner, et al.
BMC Bioinformatics|January 7, 2017
KinMap: a web-based tool for interactive navigation through human kinome dataSameh Eid, Samo Turk, Andrea Volkamer, et al.
Journal of Chemical Information and Modeling|January 7, 2016
Identification and Visualization of Kinase-Specific SubpocketsAndrea Volkamer, Sameh Eid, Samo Turk, et al.
Journal of Medicinal Chemistry|December 15, 2016
Profiling Prediction of Kinase Inhibitors: Toward the Virtual AssayBenjamin Merget, Samo Turk, Sameh Eid, et al.
Hormone Molecular Biology and Clinical Investigation|May 12, 2015
Design and synthesis of substrate mimetics based on an indole scaffold: potential inhibitors of 17β-HSD type 1Štefan Starčević, Polona Božnar, Samo Turk, et al.
Journal of Chemical Information and Modeling|March 18, 2014
Endocrine disruptome--an open source prediction tool for assessing endocrine disruption potential through nuclear receptor bindingKatra Kolšek, Janez Mavri, Marija Sollner Dolenc, et al.
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Journal of Chemical Information and Modeling|December 23, 2017
Mol2vec: Unsupervised Machine Learning Approach with Chemical IntuitionSabrina Jaeger, Simone Fulle, Samo Turk
Journal of Chemical Information and Modeling|November 14, 2017
Coupling Matched Molecular Pairs with Machine Learning for Virtual Compound OptimizationSamo Turk, Benjamin Merget, Friedrich Rippmann, et al.
Acta Chimica Slovenica|September 25, 2013
Design and Synthesis of New Peptidomimetics as Potential Inhibitors of MurEMatej Zivec, Samo Turk, Didier Blanot, et al.
Journal of Medicinal Chemistry|May 11, 2018
From Cancer to Pain Target by Automated Selectivity Inversion of a Clinical CandidateSamo Turk, Benjamin Merget, Sameh Eid, et al.
Molecular and Cellular Endocrinology|September 4, 2008
Discovery of new inhibitors of aldo-keto reductase 1C1 by structure-based virtual screeningPetra Brozic, Samo Turk, Tea Lanisnik Rizner, et al.
BMC Bioinformatics|January 7, 2017
KinMap: a web-based tool for interactive navigation through human kinome dataSameh Eid, Samo Turk, Andrea Volkamer, et al.
Journal of Chemical Information and Modeling|January 7, 2016
Identification and Visualization of Kinase-Specific SubpocketsAndrea Volkamer, Sameh Eid, Samo Turk, et al.
Journal of Medicinal Chemistry|December 15, 2016
Profiling Prediction of Kinase Inhibitors: Toward the Virtual AssayBenjamin Merget, Samo Turk, Sameh Eid, et al.
Hormone Molecular Biology and Clinical Investigation|May 12, 2015
Design and synthesis of substrate mimetics based on an indole scaffold: potential inhibitors of 17β-HSD type 1Štefan Starčević, Polona Božnar, Samo Turk, et al.
Journal of Chemical Information and Modeling|March 18, 2014
Endocrine disruptome--an open source prediction tool for assessing endocrine disruption potential through nuclear receptor bindingKatra Kolšek, Janez Mavri, Marija Sollner Dolenc, et al.
Pageof 5