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Valery Tkachenko

Showing results (11-20 of 24) with videos related to

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Molecules (Basel, Switzerland)|June 2, 2021
Deep Learning Insights into Lanthanides Complexation ChemistryArtem A Mitrofanov, Petr I Matveev, Kristina V Yakubova, et al.
Journal of Cheminformatics|December 10, 2016
Programmatic conversion of crystal structures into 3D printable files using JmolVincent F Scalfani, Antony J Williams, Valery Tkachenko, et al.
Journal of Cheminformatics|May 10, 2013
The ChEMBL database as linked open dataEgon L Willighagen, Andra Waagmeester, Ola Spjuth, et al.
Molecular Pharmaceutics|December 29, 2021
Machine Learning Models for <i>Mycobacterium tuberculosis</i><i>In Vitro</i> Activity: Prediction and Target VisualizationThomas R Lane, Fabio Urbina, Laura Rank, et al.
Journal of Cheminformatics|February 20, 2024
Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modelingKamel Mansouri, José T Moreira-Filho, Charles N Lowe, et al.
Molecular Pharmaceutics|June 17, 2021
Correction to "Comparing and Validating Machine Learning Models for <i>Mycobacterium tuberculosis</i> Drug Discovery"Thomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Journal of Cheminformatics|January 12, 2021
Open-source QSAR models for pKa prediction using multiple machine learning approachesKamel Mansouri, Neal F Cariello, Alexandru Korotcov, et al.
Molecular Pharmaceutics|April 20, 2018
Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug DiscoveryThomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Analytical Chemistry|December 22, 2025
Application of a Quantitative Non-targeted Analysis Workflow to Characterize PFAS in Environmental WatersShirley Pu, Heather D Whitehead, James P McCord, et al.
Database : the Journal of Biological Databases and Curation|March 19, 2016
High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysisVahan Simonyan, Konstantin Chumakov, Hayley Dingerdissen, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Molecules (Basel, Switzerland)|June 2, 2021
Deep Learning Insights into Lanthanides Complexation ChemistryArtem A Mitrofanov, Petr I Matveev, Kristina V Yakubova, et al.
Journal of Cheminformatics|December 10, 2016
Programmatic conversion of crystal structures into 3D printable files using JmolVincent F Scalfani, Antony J Williams, Valery Tkachenko, et al.
Journal of Cheminformatics|May 10, 2013
The ChEMBL database as linked open dataEgon L Willighagen, Andra Waagmeester, Ola Spjuth, et al.
Molecular Pharmaceutics|December 29, 2021
Machine Learning Models for <i>Mycobacterium tuberculosis</i><i>In Vitro</i> Activity: Prediction and Target VisualizationThomas R Lane, Fabio Urbina, Laura Rank, et al.
Journal of Cheminformatics|February 20, 2024
Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modelingKamel Mansouri, José T Moreira-Filho, Charles N Lowe, et al.
Molecular Pharmaceutics|June 17, 2021
Correction to "Comparing and Validating Machine Learning Models for <i>Mycobacterium tuberculosis</i> Drug Discovery"Thomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Journal of Cheminformatics|January 12, 2021
Open-source QSAR models for pKa prediction using multiple machine learning approachesKamel Mansouri, Neal F Cariello, Alexandru Korotcov, et al.
Molecular Pharmaceutics|April 20, 2018
Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug DiscoveryThomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Analytical Chemistry|December 22, 2025
Application of a Quantitative Non-targeted Analysis Workflow to Characterize PFAS in Environmental WatersShirley Pu, Heather D Whitehead, James P McCord, et al.
Database : the Journal of Biological Databases and Curation|March 19, 2016
High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysisVahan Simonyan, Konstantin Chumakov, Hayley Dingerdissen, et al.
Pageof 3