Alex Zhavoronkov
Johns Hopkins University
Publications 130
#1Polina Mamoshina (University of Oxford)H-Index: 7
#2Kirill KochetovH-Index: 3
Last.Alex ZhavoronkovH-Index: 26
view all 11 authors...
There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. However, currently, there are no affordable and informative tests for assessing the effects of smoking on the rate of biological aging. In this study we demonstrate for the first time that smoking status can be predicted using blood biochemistry and cell count results andthe recent advances in artificial intelligence (AI). By employing age-prediction models developed using supervised deep learning...
4 CitationsSource
#1Alexey Moskalev (EIMB: Engelhardt Institute of Molecular Biology)H-Index: 22
Last.Anna V. Kudryavtseva (EIMB: Engelhardt Institute of Molecular Biology)H-Index: 20
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The E(z) histone methyltransferase heterozygous mutation in Drosophila is known to increase lifespan and stress resistance. However, the longevity mechanisms of E(z) mutants have not been revealed. Using genome-wide transcriptome analysis, we demonstrated that lifespan extension, increase of resistance to hyperthermia, oxidative stress and endoplasmic reticulum stress, and fecundity enhancement in E(z) heterozygous mutants are accompanied by changes in the expression level of 239 genes (p < 0.05...
#1Alex ZhavoronkovH-Index: 26
#2Yan A. IvanenkovH-Index: 17
Last.Alán Aspuru-GuzikH-Index: 55
view all 22 authors...
We have developed a deep generative model, generative tensorial reinforcement learning (GENTRL), for de novo small-molecule design. GENTRL optimizes synthetic feasibility, novelty, and biological activity. We used GENTRL to discover potent inhibitors of discoidin domain receptor 1 (DDR1), a kinase target implicated in fibrosis and other diseases, in 21 days. Four compounds were active in biochemical assays, and two were validated in cell-based assays. One lead candidate was tested and demonstrat...
10 CitationsSource
#1Vassiliki SalouraH-Index: 13
#2Evgeny Izumchenko (U of C: University of Chicago)H-Index: 12
Last.Tanguy Y. Seiwert (U of C: University of Chicago)H-Index: 37
view all 25 authors...
Abstract Objectives In this study we describe the tumor microenvironment, the signaling pathways and genetic alterations associated with the presence or absence of CD8+ T-cell infiltration in primary squamous cell carcinoma of the head and neck (SCCHN) tumors. Materials and Methods Two SCCHN multi-analyte cohorts were utilized, the Cancer Genome Atlas (TCGA) and the Chicago Head and Neck Genomics (CHGC) cohort. A well-established chemokine signature classified SCCHN tumors into high and low CD8+...
1 CitationsSource
#1Yan A. IvanenkovH-Index: 17
#2Alex Zhavoronkov (Johns Hopkins University)H-Index: 26
Last.Olga A. Dontsova (MSU: Moscow State University)H-Index: 30
view all 22 authors...
Many pharmaceutical companies are avoiding the development of novel antibacterials due to a range of rational reasons and the high risk of failure. However, there is an urgent need for novel antibiotics especially against resistant bacterial strains. Available in silico models suffer from many drawbacks and, therefore, are not applicable for scoring novel molecules with high structural diversity by their antibacterial potency. Considering this, the overall aim of this study was to develop an eff...
1 CitationsSource
#1Alex Zhavoronkov (Buck Institute for Research on Aging)H-Index: 26
#2Polina Mamoshina (University of Oxford)H-Index: 7
First published in 2016, predictors of chronological and biological age developed using deep learning (DL) are rapidly gaining popularity in the aging research community. These deep aging clocks can be used in a broad range of applications in the pharmaceutical industry, spanning target identification, drug discovery, data economics, and synthetic patient data generation. We provide here a brief overview of recent advances in this important subset, or perhaps superset, of aging clocks that have ...
1 CitationsSource
#1Alex Zhavoronkov (Buck Institute for Research on Aging)H-Index: 26
#2George M Church G M (Wyss Institute for Biologically Inspired Engineering)H-Index: 142
The recent bust of the Blockchain bubble was detrimental to many projects intended to return control and ownership of human life data to the hands of individuals. As the industry struggles to recover and rebrand, new applications of digital ledger technologies in traditional healthcare applications have started to emerge.
#2Pamela Leal-Rojas (UFRO: University of La Frontera)H-Index: 6
Last.Aditi ChatterjeeH-Index: 28
view all 24 authors...
Gallbladder cancer (GBC) is a rare malignancy, associated with poor disease prognosis with a 5-year survival of only 20%. This has been attributed to late presentation of the disease, lack of early diagnostic markers and limited efficacy of therapeutic interventions. Elucidation of molecular events in GBC can contribute to better management of the disease by aiding in the identification of therapeutic targets. To identify aberrantly activated signaling events in GBC, tandem mass tag-based quanti...
1 CitationsSource