Alex Zhavoronkov

发表

Reinforced Adversarial Neural Computer for de Novo Molecular Design

Alán Aspuru-Guzik, Evgeny Putin, Benjamin Sanchez-Lengeling, 2018, J. Chem. Inf. Model..

Design of efficient computational workflows for in silico drug repurposing.

Polina Mamoshina, Quentin Vanhaelen, Alex Zhavoronkov, 2017, Drug discovery today.

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

Yury Yanovich, Alexander Zhebrak, Alexander Aliper, 2015, Oncotarget.

The Advent of Human Life Data Economics: (Trends in Molecular Medicine 25, 566-570; 2019).

George Church, Alex Zhavoronkov, 2019, Trends in molecular medicine.

Classifying Aging as a Disease in the context of ICD-11

Bhupinder Bhullar, Alex Zhavoronkov, 2015 .

The Ageless Generation: How Advances in Biomedicine Will Transform the Global Economy

Alex Zhavoronkov, A. Zhavoronkov, 2013 .

Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevity.

Polina Mamoshina, Alex Zhavoronkov, A. Zhavoronkov, 2019, Trends in pharmacological sciences.

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

Evgeny Putin, Alexander Aliper, Daniil Polykovskiy, 2021, ArXiv.

Adversarial Threshold Neural Computer for Molecular de Novo Design.

Evgeny Putin, Alex Aliper, Quentin Vanhaelen, 2018, Molecular pharmaceutics.

Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery.

Dmitry Vetrov, Alexander Zhebrak, Alexander Aliper, 2018, Molecular pharmaceutics.

Aging Chart: a community resource for rapid exploratory pathway analysis of age-related processes

Alex Aliper, Alex Zhavoronkov, Alexey Moskalev, 2016, Nucleic Acids Res..

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

Evgeny Putin, Alexander Aliper, Polina Mamoshina, 2016, Aging.

GrantMed: a new, international system for tracking grants and funding trends in the life sciences pdf

Yuri Nikolsky, Alex Zhavoronkov, Konstantin Romantsov, 2015, ArXiv.

Effects of unpaired 1 gene overexpression on the lifespan of Drosophila melanogaster

Alex Zhavoronkov, Alexey Moskalev, Mikhail Shaposhnikov, 2019, BMC Systems Biology.

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

Andrey Kazennov, Artur Kadurin, Alexander Aliper, 2016, Oncotarget.

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

Sergey Nikolenko, Alex Aliper, Alex Zhavoronkov, 2017, Molecular pharmaceutics.

Classifying aging as a disease in the context of ICD-11

Bhupinder Bhullar, Alex Zhavoronkov, A. Zhavoronkov, 2015, bioRxiv.

Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomes

Evgeny Putin, Alexander Aliper, Alex Zhavoronkov, 2016, bioRxiv.

3D Molecular Representations Based on the Wave Transform for Convolutional Neural Networks.

Rim Shayakhmetov, Alexander Zhebrak, Sergey Nikolenko, 2018, Molecular pharmaceutics.

PhotoAgeClock: deep learning algorithms for development of non-invasive visual biomarkers of aging

Artem Sevastopolsky, Sören Jaspers, Alex Zhavoronkov, 2018, Aging.

Artificial intelligence in longevity medicine

Alex Zhavoronkov, Evelyne Bischof, Kai-Fu Lee, 2021, Nature Aging.

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

Alan Aspuru-Guzik, Vladimir Aladinskiy, Alex Zhavoronkov, 2022 .

Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Evgeny Putin, Fedor Galkin, Vadim N. Gladyshev, 2018, bioRxiv.

Influence of non-steroidal anti-inflammatory drugs on Drosophila melanogaster longevity

Alex Zhavoronkov, Anton Danilov, Alexey Moskalev, 2015, Oncotarget.

Testing for batch effect through age predictors

Evgeny Putin, Kirill Kochetov, Polina Mamoshina, 2019, bioRxiv.

Lifespan and Stress Resistance in Drosophila with Overexpressed DNA Repair Genes

Alex Zhavoronkov, Alexey Moskalev, Mikhail Shaposhnikov, 2015, Scientific Reports.

From personalized medicine to personalized science: uniting science and medicine for patient-driven, goal-oriented research.

Alex Zhavoronkov, A. Zhavoronkov, Charles R. Cantor, 2013, Rejuvenation Research.

Genetics and epigenetics of aging and longevity

Alex Zhavoronkov, Alexander M Aliper, Anton Buzdin, 2013, Cell cycle.

Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human

Bhupinder Bhullar, Alexander Aliper, Anna Vanyushina, 2015, Oncotarget.

Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?

Tudor I. Oprea, Quentin Vanhaelen, Alex Zhavoronkov, 2020, Clinical pharmacology and therapeutics.

A review of the biomedical innovations for healthy longevity

Matt Kaeberlein, Evgeny Putin, Wolfgang Wagner, 2017, Aging.

Combinatorial high-throughput experimental and bioinformatic approach identifies molecular pathways linked with the sensitivity to anticancer target drugs

Alexander Aliper, Alex Zhavoronkov, Nicolas Borisov, 2015, Oncotarget.

Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs

Nikolay M. Borisov, Alex Zhavoronkov, A. Zhavoronkov, 2014, Front. Genet..

Effects of N-acetyl-L-cysteine on lifespan, locomotor activity and stress-resistance of 3 Drosophila species with different lifespans

Alex Zhavoronkov, A. Zhavoronkov, M. Shaposhnikov, 2018, Aging.

Transcriptome Analysis of Long-lived Drosophila melanogaster E(z) Mutants Sheds Light on the Molecular Mechanisms of Longevity

Alex Zhavoronkov, A. Zhavoronkov, G. Krasnov, 2019, Scientific Reports.

Towards natural mimetics of metformin and rapamycin

Alexander Aliper, Alex Zhavoronkov, Artem Artemov, 2017, Aging.

In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state

Evgeny Putin, Alexander Aliper, Polina Mamoshina, 2016, Aging.

The Evaluation of Geroprotective Effects of Selected Flavonoids in Drosophila melanogaster and Caenorhabditis elegans

Alex Zhavoronkov, Alexey Moskalev, A. Zhavoronkov, 2017, Front. Pharmacol..

Fucoxanthin increases lifespan of Drosophila melanogaster and Caenorhabditis elegans.

Alex Zhavoronkov, Svetlana Zhikrivetskaya, Alexey Moskalev, 2015, Pharmacological research.

Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers

Evgeny Putin, Alexander Aliper, Kirill Kochetov, 2019, Scientific Reports.

Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations

Evgeny Putin, Alexander Aliper, Kirill Kochetov, 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

Geroprotectors.org: a new, structured and curated database of current therapeutic interventions in aging and age-related disease

Polina Mamoshina, Arie Budovsky, Vadim E. Fraifeld, 2015, Aging.

Biomedical Progress Rates as New Parameters for Models of Economic Growth in Developed Countries

Alex Zhavoronkov, Maria Litovchenko, 2013, International journal of environmental research and public health.

Non-invasive prenatal diagnostics of aneuploidy using next-generation DNA sequencing technologies, and clinical considerations

Sergey A. Roumiantsev, Alex Zhavoronkov, A. Zhavoronkov, 2012, Clinical chemistry and laboratory medicine.

Pathway activation profiling reveals new insights into Age-related Macular Degeneration and provides avenues for therapeutic interventions

Alexander Aliper, Alex Zhavoronkov, Anton Buzdin, 2014, Aging.

Molecular functions of human endogenous retroviruses in health and disease

Alex Zhavoronkov, Anton Buzdin, Andrew Garazha, 2015, Cellular and Molecular Life Sciences.

Signaling pathway activation drift during aging: Hutchinson-Gilford Progeria Syndrome fibroblasts are comparable to normal middle-age and old-age cells

Tomasz Jetka, Alex Zhavoronkov, Anton Buzdin, 2015, Aging.

Developing criteria for evaluation of geroprotectors as a key stage toward translation to the clinic

Alex Zhavoronkov, Elizaveta Chernyagina, Brian K. Kennedy, 2016, Aging cell.

Common pathway signature in lung and liver fibrosis

Anthony Atala, Alex Zhavoronkov, Anton Buzdin, 2016, Cell cycle.

Aging and drug discovery

Martijn S. Luijsterburg, Polina Mamoshina, Vadim N. Gladyshev, 2018, Aging.

Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells

Andrey Alekseenko, Evgeny Putin, Polina Mamoshina, 2017, Oncotarget.

A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency

Alex Zhavoronkov, Nicolas Borisov, Anton Buzdin, 2018, Cell cycle.