Alex Zhavoronkov

Research interests

Publications

• Validation of biomarkers of aging

  Nature Medicine · 2024 · https://doi.org/10.1038/s41591-023-02784-9

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

  Nature Biotechnology · 2024 · https://doi.org/10.1038/s41587-024-02143-0

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

  Journal of Chemical Information and Modeling · 2023 · 10.1021/acs.jcim.2c01191

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

  Chemical Science · 2023 · https://doi.org/10.1039/d2sc05709c

• AI-powered therapeutic target discovery

  Trends in Pharmacological Sciences · 2023 · https://doi.org/10.1016/j.tips.2023.06.010

• Biomarkers of aging for the identification and evaluation of longevity interventions

  Cell · 2023 · https://doi.org/10.1016/j.cell.2023.08.003

• Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning

  iScience · 2020 · 10.1016/j.isci.2020.101199

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

  Frontiers in Pharmacology · 2020 · 10.3389/fphar.2020.565644

• Deep learning enables rapid identification of potent DDR1 kinase inhibitors

  Nature Biotechnology · 2019 · https://doi.org/10.1038/s41587-019-0224-x

• Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification

  Frontiers in Genetics · 2018 · 10.3389/fgene.2018.00242

• Reinforced Adversarial Neural Computer for de Novo Molecular Design

  Journal of Chemical Information and Modeling · 2018 · https://doi.org/10.1021/acs.jcim.7b00690

• Bifunctional immune checkpoint-targeted antibody-ligand traps that simultaneously disable TGFβ enhance the efficacy of cancer immunotherapy

  Nature Communications · 2018 · https://doi.org/10.1038/s41467-017-02696-6

• Adversarial Threshold Neural Computer for Molecular de Novo Design

  Molecular Pharmaceutics · 2018 · 10.1021/acs.molpharmaceut.7b01137

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

  Ageing Research Reviews · 2018 · 10.1016/j.arr.2018.11.003

• Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery

  Molecular Pharmaceutics · 2018 · 10.1021/acs.molpharmaceut.8b00839

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

  Oncotarget · 2017 · https://doi.org/10.18632/oncotarget.22345

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

  Molecular Pharmaceutics · 2017 · https://doi.org/10.1021/acs.molpharmaceut.7b00346

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

  Molecular Pharmaceutics · 2017 · https://doi.org/10.1021/acs.molpharmaceut.7b00346

• Deep biomarkers of human aging: Application of deep neural networks to biomarker development

  Aging · 2016 · https://doi.org/10.18632/aging.100968

• Applications of Deep Learning in Biomedicine

  Molecular Pharmaceutics · 2016 · https://doi.org/10.1021/acs.molpharmaceut.5b00982

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

  Molecular Pharmaceutics · 2016 · https://doi.org/10.1021/acs.molpharmaceut.6b00248

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

  Oncotarget · 2016 · https://doi.org/10.18632/oncotarget.14073

• The role of DNA damage and repair in aging through the prism of Koch-like criteria

  Ageing Research Reviews · 2012 · https://doi.org/10.1016/j.arr.2012.02.001

Current projects

No projects listed.