Vladimir Aladinskiy

According to our database, Vladimir Aladinskiy authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery.

Maksim Kuznetsov, Zulfat Miftahutdinov, Rim Shayakhmetov, Mikolaj Mizera, Roman Schutski, Bogdan Zagribelnyy, Ivan Ilin, Nikita Bondarev, Thomas MacDougall, Mathieu Reymond, Mihir Bafna, Kaeli Kaymak-Loveless, Eugene Babin, Maxim Malkov, Mathias Lechner, Ramin M. Hasani, Alexander Amini, Vladimir Aladinskiy, Alex Aliper, Alex Zhavoronkov

CoRR, March, 2026

When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs.

Bogdan Zagribelnyy, Ivan Ilin, Maksim Kuznetsov, Nikita Bondarev, Roman Schutski, Thomas MacDougall, Rim Shayakhmetov, Zulfat Miftakhutdinov, Mikolaj Mizera, Vladimir Aladinskiy, Alex Aliper, Alex Zhavoronkov

CoRR, February, 2026

2023

Chemistry42: An AI-Driven Platform for Molecular Design and Optimization.

Yan A. Ivanenkov, Daniil Polykovskiy, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Petrina Kamya, Alex Aliper, Feng Ren, Alex Zhavoronkov

J. Chem. Inf. Model., February, 2023

2022

AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor.

Feng Ren, Xiao Ding, Min Zheng, Mikhail Korzinkin, Xin Cai, Wei Zhu, Alexey Mantsyzov, Alex Aliper, Vladimir Aladinskiy, Zhongying Cao, Shanshan Kong, Xi Long, Bonnie Hei Man Liu, Yingtao Liu, Vladimir Naumov, Anastasia Shneyderman, Ivan V. Ozerov, Ju Wang, Frank W. Pun, Alán Aspuru-Guzik, Michael Levitt, Alex Zhavoronkov

CoRR, 2022

2021

Chemistry42: An AI-based platform for de novo molecular design.

Yan A. Ivanenkov, Alexander Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov

CoRR, 2021

2018

Reinforced Adversarial Neural Computer for de Novo Molecular Design.

Evgeny Putin, Arip Asadulaev, Yan Ivanenkov, Vladimir Aladinskiy, Benjamín Sánchez-Lengeling, Alán Aspuru-Guzik, Alex Zhavoronkov

J. Chem. Inf. Model., 2018

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models.

Daniil Polykovskiy, Alexander Zhebrak, Benjamín Sánchez-Lengeling, Sergey Golovanov, Oktai Tatanov, Stanislav Belyaev, Rauf Kurbanov, Aleksey Artamonov, Vladimir Aladinskiy, Mark Veselov, Artur Kadurin, Sergey I. Nikolenko, Alán Aspuru-Guzik, Alex Zhavoronkov

CoRR, 2018