Aliper, Alex

Deep learning enables rapid identification of potent DDR1 kinase inhibitors

Zhavoronkov, A., Ivanenkov, Y. A., Aliper, A., Veselov, M. S., Aladinskiy, V. A., Aladinskaya, A. V., Terentiev, V. A., Polykovskiy, D. A., Kuznetsov, M. D., Asadulaev, A., et al. (2019) · Nature Biotechnology

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 1,573

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Kadurin, A., Nikolenko, S., Khrabrov, K., Aliper, A., & Zhavoronkov, A. (2017) · Molecular Pharmaceutics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 587

AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor

Ren, F., Ding, X., Zheng, M., Korzinkin, M., Cai, X., Zhu, W., Mantsyzov, A., Aliper, A., Aladinskiy, V., Cao, Z., et al. (2023) · Chemical Science

Computational Drug Discovery MethodsProtein Degradation and Inhibitors

Cited by 365

A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models

Ren, F., Aliper, A., Chen, J., Zhao, H., Rao, S., Kuppe, C., Ozerov, I. V., Zhang, M., Witte, K., Kruse, C., et al. (2025) · Nature Biotechnology

Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisComputational Drug Discovery Methods

Cited by 348

Human gut microbiome aging clock based on taxonomic profiling and deep learning

Galkin, F., Mamoshina, P., Aliper, A., Lane, E., Moskalev, V., Gladyshev, V. N., & Zhavoronkov, A. (2020) · iScience

Gut microbiota and healthOral microbiology and periodontitis research

Cited by 292

Artificial intelligence for aging and longevity research: Recent advances and perspectives

Zhavoronkov, A., Mamoshina, P., Vanhaelen, Q., Scheibye-Knudsen, M., Moskalev, A., & Aliper, A. (2019) · Ageing Research Reviews

Genetics, Aging, and Longevity in Model OrganismsComputational Drug Discovery Methods

Cited by 246

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

Ivanenkov, Y. A., Polykovskiy, D., Bezrukov, D., Zagribelnyy, B., Aladinskiy, V., Kamya, P., Aliper, A., Ren, F., & Zhavoronkov, A. (2023) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 231

Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities

Galkin, F., Mamoshina, P., Aliper, A., de Magalhães, J. P., Gladyshev, V. N., & Zhavoronkov, A. (2020) · Ageing Research Reviews

Genetics, Aging, and Longevity in Model OrganismsTelomeres, Telomerase, and Senescence

Cited by 189

Quantum computing for near-term applications in generative chemistry and drug discovery.

Pyrkov, A., Aliper, A., Bezrukov, D., Lin, Y.-C., Polykovskiy, D., Kamya, P., Ren, F., & Zhavoronkov, A. (2023) · Drug Discovery Today

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 100

TNIK’s emerging role in cancer, metabolism, and age-related diseases

Ewald, C. Y., Pulous, F. E., Lok, S. W. Y., Pun, F. W., Aliper, A., Ren, F., & Zhavoronkov, A. (2024) · Trends in Pharmacological Sciences

Metabolism, Diabetes, and CancerPI3K/AKT/mTOR signaling in cancer

Cited by 27