Vladimir Aladinskiy - Concepedia

Author

Vladimir Aladinskiy

Moscow Institute of Physics and Technology ORCID

Also Known As

Aladinskiy, Vladimir, Aladinskiy, Vladimir A., V. Aladinskiy, V.A. Aladinskiy, Vladimir A. Aladinskiy, Vladimir Aladinskiy

Publications

3.5K

Citations

H-Index

Concepts

All Affiliations

Moscow Institute of Physics and Technology Insilico Medicine (United States)Insilicos (United States)Lomonosov Moscow State University Institute of Biochemistry and Genetics of Ufa Scientific Centre

About

Vladimir Aladinskiy is an author at Moscow Institute of Physics and Technology specializing in drug discovery, medicine, and pharmacology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	10	10	2.4K
2	Natural Sciences	7	7	376
3	Biomolecular Engineering	5	5	337
4	Engineering	4	4	2K
5	Biochemistry	3	3	102

Vladimir Aladinskiy

Publications

3.4K

Citations

H-Index

Page 1

	Year	Citations
Deep learning enables rapid identification of potent DDR1 kinase inhibitors Alex Zhavoronkov, Yan A. Ivanenkov, Alex Aliper, Nature Biotechnology Drug TargetEngineeringDe Novo Drug DesignMedicineComputational Biology	2019	1.4K
Reinforced Adversarial Neural Computer for <i>de Novo</i> Molecular Design Evgeny Putin, Arip Asadulaev, Yan A. Ivanenkov, Journal of Chemical Information and Modeling Drug TargetEngineeringMachine LearningSilico ModelingMolecular Biology	2018	374
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor Feng Ren, Xiao Ding, Min Zheng, Chemical Science	2023	292
Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery Daniil Polykovskiy, Alexander Zhebrak, Dmitry Vetrov, Molecular Pharmaceutics EngineeringMachine LearningAutoencodersMolecular BiologyGenerative System	2018	278
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models Feng Ren, Alex Aliper, Jian Chen, Nature Biotechnology	2024	219
Chemistry42: An AI-Driven Platform for Molecular Design and Optimization Yan A. Ivanenkov, Daniil Polykovskiy, Dmitry S. Bezrukov, Journal of Chemical Information and Modeling	2023	174
Are We Opening the Door to a New Era of Medicinal Chemistry or Being Collapsed to a Chemical Singularity? Yan A. Ivanenkov, Bogdan Zagribelnyy, Vladimir Aladinskiy Journal of Medicinal Chemistry	2019	110
Potential 2019-nCoV 3C-like Protease Inhibitors Designed Using Generative Deep Learning Approaches Alex Zhavoronkov, Vladimir Aladinskiy, Alexander Zhebrak, Crystal StructureMolecular BiologyAntiviral DrugHiv Protease InhibitorMedicinal Chemistry	2020	105
Potential COVID-2019 3C-like Protease Inhibitors Designed Using Generative Deep Learning Approaches Alex Zhavoronkov, Vladimir Aladinskiy, Alexander Zhebrak, Crystal StructureMolecular BiologyAntiviral DrugChemical BiologyHiv Protease Inhibitor	2020	97
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy, Alexander Zhebrak, Benjamín Sánchez-Lengeling, Frontiers in Pharmacology	2020	84

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