Mamoshina, Polina

Applications of Deep Learning in Biomedicine

Mamoshina, P., Vieira, A., Lane, E., & Zhavoronkov, A. (2016) · Molecular Pharmaceutics

Computational Drug Discovery MethodsMachine Learning in Healthcare

Cited by 701

Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data

Aliper, A., Plis, S., Artemov, A., Ulloa, A., Mamoshina, P., & Zhavoronkov, A. (2016) · Molecular Pharmaceutics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 610

Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare

Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget

Blockchain Technology Applications and SecurityArtificial Intelligence in Healthcare and Education

Cited by 471

The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology

Kadurin, A., Aliper, A., Kazennov, A., Mamoshina, P., Vanhaelen, Q., Khrabrov, K., & Zhavoronkov, A. (2017) · Oncotarget

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 350

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

Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery

Polykovskiy, D., Zhebrak, A., Vetrov, D., Ivanenkov, Y., Aladinskiy, V., Mamoshina, P., Bozdaganyan, M., Aliper, A., Zhavoronkov, A., & Kadurin, A. (2018) · Molecular Pharmaceutics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 278

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

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

Design of efficient computational workflows for in silico drug repurposing

Vanhaelen, Q., Mamoshina, P., Aliper, A. M., Artemov, A., Lezhnina, K., Ozerov, I., Labat, I., & Zhavoronkov, A. (2017) · Drug Discovery Today

Computational Drug Discovery Methodsvaccines and immunoinformatics approaches

Cited by 150

Vive la radiorésistance!: converging research in radiobiology and biogerontology to enhance human radioresistance for deep space exploration and colonization

Cortese, F., Klokov, D., Osipov, A., Stefaniak, J., Moskalev, A., Schastnaya, J., Cantor, C., Aliper, A., Mamoshina, P., Ushakov, I., et al. (2018) · Oncotarget

Effects of Radiation ExposureSpaceflight effects on biology

Cited by 83

A review of the biomedical innovations for healthy longevity

Moskalev, A., Anisimov, V., Aliper, A., Artemov, A., Asadullah, K., Belsky, D., Baranova, A., de Grey, A., Dixit, V. D., Debonneuil, E., et al. (2017) · Aging

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

Cited by 22