Dmitry S. Bezrukov - Concepedia

Author

Dmitry S. Bezrukov

Also Known As

Bezrukov, Dmitry, Bezrukov, Dmitry S., D. S. Bezrukov, D.S. Bezrukov, Dmitrii S. Bezrukov, Dmitry Bezrukov, Dmitry S. Bezrukov

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Lomonosov Moscow State University Skolkovo Institute of Science and Technology Insilicos (United States)Insilico Medicine (United States)Moscow Institute of Physics and Technology

About

Dmitry S. Bezrukov is an author at Lomonosov Moscow State University specializing in natural sciences, pharmacology, and drug discovery.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Natural Sciences	10	10	406
2	Medicine	8	8	391
3	Engineering	5	5	69
4	Applied Physics	4	4	59
5	Biochemistry	2	2	73

Dmitry S. Bezrukov

Publications

819

Citations

H-Index

Page 1

	Year	Citations
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
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
Potential COVID-2019 3C-like Protease Inhibitors Designed Using Generative Deep Learning Approaches Alex Zhavoronkov, Vladimir Aladinskiy, Alexander Zhebrak, Crystal StructureMedicinal ChemistrySystems BiologyVirtual ScreeningMedicine	2020	62
Identification of Novel Antibacterials Using Machine Learning Techniques Yan A. Ivanenkov, Alex Zhavoronkov, R. S. Yamidanov, Frontiers in Pharmacology	2019	45
Potential Non-Covalent SARS-CoV-2 3C-like Protease Inhibitors Designed Using Generative Deep Learning Approaches and Reviewed by Human Medicinal Chemist in Virtual Reality Alex Zhavoronkov, Bogdan Zagribelnyy, Alexander Zhebrak, Crystal StructureBiomolecular Structure PredictionChemistryMain Protease3C-like Protease	2020	44
Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors Mohammad Ghazi Vakili, Christoph Gorgulla, Jamie Snider, Nature Biotechnology	2025	41
Synthesis, isomerization and biological activity of novel 2-selenohydantoin derivatives Yan A. Ivanenkov, Mark S. Veselov, Igor G. Rezekin, Bioorganic & Medicinal Chemistry Novel 2-Selenohydantoin DerivativesNatural Product SynthesisDerivative (Chemistry)Synthetic ChemistryBiomolecular Engineering	2016	32
Potential Non-Covalent SARS-CoV-2 3C-like Protease Inhibitors Designed Using Generative Deep Learning Approaches and Reviewed by Human Medicinal Chemist in Virtual Reality Alex Zhavoronkov, Bogdan Zagribelnyy, Alexander Zhebrak, Crystal StructureMolecular BiologyMain ProteaseMedicinal ChemistrySdf Format	2020	29
Synthesis and biological evaluation of Doxorubicin-containing conjugate targeting PSMA Yan A. Ivanenkov, Aleksei E. Machulkin, Anastasiia S. Garanina, Bioorganic & Medicinal Chemistry Letters Medicinal ChemistryDrug TargetingMedicineTumor TargetingPharmacology	2019	25

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