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Yan Ivanenkov

Showing results (1-10 of 18) with videos related to

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Journal of Medicinal Chemistry|August 18, 2006
Insights for human ether-a-go-go-related gene potassium channel inhibition using recursive partitioning and Kohonen and Sammon mapping techniquesSean Ekins, Konstantin V Balakin, Nikolay Savchuk, et al.
Molecular Diversity|March 26, 2026
Integrating modern computational techniques elevates binding mode identification for molecular fragmentsSergei Evteev, Fedor Sizov, Anna Pastukhova, et al.
Molecular Pharmaceutics|March 24, 2018
Adversarial Threshold Neural Computer for Molecular de Novo DesignEvgeny Putin, Arip Asadulaev, Quentin Vanhaelen, et al.
Chemical Research in Toxicology|May 9, 2008
Shape signatures: new descriptors for predicting cardiotoxicity in silicoDmitriy S Chekmarev, Vladyslav Kholodovych, Konstantin V Balakin, et al.
Journal of Chemical Information and Modeling|May 16, 2018
Reinforced Adversarial Neural Computer for de Novo Molecular DesignEvgeny Putin, Arip Asadulaev, Yan Ivanenkov, et al.
Proteins|February 28, 2025
Skittles: GNN-Assisted Pseudo-Ligands Generation and Its Application for Binding Sites Classification and Affinity PredictionSergei Evteev, Alexey Ereshchenko, Denis Adjugim, et al.
Journal of Alzheimer'S Disease : JAD|May 28, 2017
AVN-492, A Novel Highly Selective 5-HT6R Antagonist: Preclinical EvaluationAlexandre V Ivachtchenko, Ilya Okun, Vladimir Aladinskiy, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 31, 2018
Method for Ultrarapid High-Content Screening for Biologically Active Chemicals Using Plant PollenRoman Chuprov-Netochin, Elena Marusich, Yaroslav Neskorodov, et al.
Molecular Pharmaceutics|September 6, 2018
Entangled Conditional Adversarial Autoencoder for de Novo Drug DiscoveryDaniil Polykovskiy, Alexander Zhebrak, Dmitry Vetrov, et al.
Journal of Computer-Aided Molecular Design|September 26, 2025
Enhancing accuracy of virtual kinase profiling via application of graph neural network to 3D pharmacophore ensemblesAlexey Ereshchenko, Sergei Evteev, Alexander Malyshev, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Medicinal Chemistry|August 18, 2006
Insights for human ether-a-go-go-related gene potassium channel inhibition using recursive partitioning and Kohonen and Sammon mapping techniquesSean Ekins, Konstantin V Balakin, Nikolay Savchuk, et al.
Molecular Diversity|March 26, 2026
Integrating modern computational techniques elevates binding mode identification for molecular fragmentsSergei Evteev, Fedor Sizov, Anna Pastukhova, et al.
Molecular Pharmaceutics|March 24, 2018
Adversarial Threshold Neural Computer for Molecular de Novo DesignEvgeny Putin, Arip Asadulaev, Quentin Vanhaelen, et al.
Chemical Research in Toxicology|May 9, 2008
Shape signatures: new descriptors for predicting cardiotoxicity in silicoDmitriy S Chekmarev, Vladyslav Kholodovych, Konstantin V Balakin, et al.
Journal of Chemical Information and Modeling|May 16, 2018
Reinforced Adversarial Neural Computer for de Novo Molecular DesignEvgeny Putin, Arip Asadulaev, Yan Ivanenkov, et al.
Proteins|February 28, 2025
Skittles: GNN-Assisted Pseudo-Ligands Generation and Its Application for Binding Sites Classification and Affinity PredictionSergei Evteev, Alexey Ereshchenko, Denis Adjugim, et al.
Journal of Alzheimer'S Disease : JAD|May 28, 2017
AVN-492, A Novel Highly Selective 5-HT6R Antagonist: Preclinical EvaluationAlexandre V Ivachtchenko, Ilya Okun, Vladimir Aladinskiy, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 31, 2018
Method for Ultrarapid High-Content Screening for Biologically Active Chemicals Using Plant PollenRoman Chuprov-Netochin, Elena Marusich, Yaroslav Neskorodov, et al.
Molecular Pharmaceutics|September 6, 2018
Entangled Conditional Adversarial Autoencoder for de Novo Drug DiscoveryDaniil Polykovskiy, Alexander Zhebrak, Dmitry Vetrov, et al.
Journal of Computer-Aided Molecular Design|September 26, 2025
Enhancing accuracy of virtual kinase profiling via application of graph neural network to 3D pharmacophore ensemblesAlexey Ereshchenko, Sergei Evteev, Alexander Malyshev, et al.
Pageof 2