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Items: 1 to 50 of 174

1.

Replicative and radiation-induced aging: a comparison of gene expression profiles.

Aliper AM, Bozdaganyan ME, Orekhov PS, Zhavoronkov A, Osipov AN.

Aging (Albany NY). 2019 Apr 19;11(8):2378-2387. doi: 10.18632/aging.101921.

2.

The Neuronal Overexpression of Gclc in Drosophila melanogaster Induces Life Extension With Longevity-Associated Transcriptomic Changes in the Thorax.

Moskalev A, Guvatova Z, Shaposhnikov M, Lashmanova E, Proshkina E, Koval L, Zhavoronkov A, Krasnov G, Kudryavtseva A.

Front Genet. 2019 Mar 5;10:149. doi: 10.3389/fgene.2019.00149. eCollection 2019.

3.

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

Moskalev A, Proshkina E, Zhavoronkov A, Shaposhnikov M.

BMC Syst Biol. 2019 Mar 5;13(Suppl 1):16. doi: 10.1186/s12918-019-0687-x.

4.

PIM1 kinase promotes gallbladder cancer cell proliferation via inhibition of proline-rich Akt substrate of 40 kDa (PRAS40).

Subbannayya T, Leal-Rojas P, Zhavoronkov A, Ozerov IV, Korzinkin M, Babu N, Radhakrishnan A, Chavan S, Raja R, Pinto SM, Patil AH, Barbhuiya MA, Kumar P, Guerrero-Preston R, Navani S, Tiwari PK, Kumar RV, Prasad TSK, Roa JC, Pandey A, Sidransky D, Gowda H, Izumchenko E, Chatterjee A.

J Cell Commun Signal. 2019 Jun;13(2):163-177. doi: 10.1007/s12079-018-00503-5. Epub 2019 Jan 21.

5.

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

Mamoshina P, Kochetov K, Cortese F, Kovalchuk A, Aliper A, Putin E, Scheibye-Knudsen M, Cantor CR, Skjodt NM, Kovalchuk O, Zhavoronkov A.

Sci Rep. 2019 Jan 15;9(1):142. doi: 10.1038/s41598-018-35704-w.

6.

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

Zhavoronkov A, Mamoshina P, Vanhaelen Q, Scheibye-Knudsen M, Moskalev A, Aliper A.

Ageing Res Rev. 2019 Jan;49:49-66. doi: 10.1016/j.arr.2018.11.003. Epub 2018 Nov 22. Review.

7.

Aging and drug discovery.

Bakula D, Aliper AM, Mamoshina P, Petr MA, Teklu A, Baur JA, Campisi J, Ewald CY, Georgievskaya A, Gladyshev VN, Kovalchuk O, Lamming DW, Luijsterburg MS, Martín-Montalvo A, Maudsley S, Mkrtchyan GV, Moskalev A, Olshansky SJ, Ozerov IV, Pickett A, Ristow M, Zhavoronkov A, Scheibye-Knudsen M.

Aging (Albany NY). 2018 Nov 13;10(11):3079-3088. doi: 10.18632/aging.101646.

8.

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

Bobrov E, Georgievskaya A, Kiselev K, Sevastopolsky A, Zhavoronkov A, Gurov S, Rudakov K, Del Pilar Bonilla Tobar M, Jaspers S, Clemann S.

Aging (Albany NY). 2018 Nov 9;10(11):3249-3259. doi: 10.18632/aging.101629.

9.

Overexpression of CBS and CSE genes affects lifespan, stress resistance and locomotor activity in Drosophila melanogaster.

Shaposhnikov M, Proshkina E, Koval L, Zemskaya N, Zhavoronkov A, Moskalev A.

Aging (Albany NY). 2018 Nov 8;10(11):3260-3272. doi: 10.18632/aging.101630.

10.

Artificial Intelligence for Drug Discovery, Biomarker Development, and Generation of Novel Chemistry.

Zhavoronkov A.

Mol Pharm. 2018 Oct 1;15(10):4311-4313. doi: 10.1021/acs.molpharmaceut.8b00930. No abstract available.

PMID:
30269508
11.

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

Shaposhnikov MV, Zemskaya NV, Koval LA, Schegoleva EV, Zhavoronkov A, Moskalev AA.

Aging (Albany NY). 2018 Sep 20;10(9):2428-2458. doi: 10.18632/aging.101561.

12.

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.

Mol Pharm. 2018 Oct 1;15(10):4398-4405. doi: 10.1021/acs.molpharmaceut.8b00839. Epub 2018 Sep 19.

13.

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

Mamoshina P, Volosnikova M, Ozerov IV, Putin E, Skibina E, Cortese F, Zhavoronkov A.

Front Genet. 2018 Jul 12;9:242. doi: 10.3389/fgene.2018.00242. eCollection 2018.

14.

Integrated transcriptomic and epigenomic analysis of ovarian cancer reveals epigenetically silenced GULP1.

Maldonado L, Brait M, Izumchenko E, Begum S, Chatterjee A, Sen T, Loyo M, Barbosa A, Poeta ML, Makarev E, Zhavoronkov A, Fazio VM, Angioli R, Rabitti C, Ongenaert M, Van Criekinge W, Noordhuis MG, de Graeff P, Wisman GBA, van der Zee AGJ, Hoque MO.

Cancer Lett. 2018 Oct 1;433:242-251. doi: 10.1016/j.canlet.2018.06.030. Epub 2018 Jun 28.

PMID:
29964205
15.

Reinforced Adversarial Neural Computer for de Novo Molecular Design.

Putin E, Asadulaev A, Ivanenkov Y, Aladinskiy V, Sanchez-Lengeling B, Aspuru-Guzik A, Zhavoronkov A.

J Chem Inf Model. 2018 Jun 25;58(6):1194-1204. doi: 10.1021/acs.jcim.7b00690. Epub 2018 Jun 12.

16.

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, Sapetsky A, Vanhaelen Q, Alchinova I, Karganov M, Kovalchuk O, Wilkins R, Shtemberg A, Moreels M, Baatout S, Izumchenko E, de Magalhães JP, Artemov AV, Costes SV, Beheshti A, Mao XW, Pecaut MJ, Kaminskiy D, Ozerov IV, Scheibye-Knudsen M, Zhavoronkov A.

Oncotarget. 2018 Feb 12;9(18):14692-14722. doi: 10.18632/oncotarget.24461. eCollection 2018 Mar 6. Review.

17.

Adversarial Threshold Neural Computer for Molecular de Novo Design.

Putin E, Asadulaev A, Vanhaelen Q, Ivanenkov Y, Aladinskaya AV, Aliper A, Zhavoronkov A.

Mol Pharm. 2018 Oct 1;15(10):4386-4397. doi: 10.1021/acs.molpharmaceut.7b01137. Epub 2018 Mar 30.

18.

Targeting focal adhesion kinase overcomes erlotinib resistance in smoke induced lung cancer by altering phosphorylation of epidermal growth factor receptor.

Solanki HS, Raja R, Zhavoronkov A, Ozerov IV, Artemov AV, Advani J, Radhakrishnan A, Babu N, Puttamallesh VN, Syed N, Nanjappa V, Subbannayya T, Sahasrabuddhe NA, Patil AH, Prasad TSK, Gaykalova D, Chang X, Sathyendran R, Mathur PP, Rangarajan A, Sidransky D, Pandey A, Izumchenko E, Gowda H, Chatterjee A.

Oncoscience. 2018 Feb 23;5(1-2):21-38. doi: 10.18632/oncoscience.395. eCollection 2018 Jan.

19.

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

West MD, Labat I, Sternberg H, Larocca D, Nasonkin I, Chapman KB, Singh R, Makarev E, Aliper A, Kazennov A, Alekseenko A, Shuvalov N, Cheskidova E, Alekseev A, Artemov A, Putin E, Mamoshina P, Pryanichnikov N, Larocca J, Copeland K, Izumchenko E, Korzinkin M, Zhavoronkov A.

Oncotarget. 2017 Dec 28;9(8):7796-7811. doi: 10.18632/oncotarget.23748. eCollection 2018 Jan 30.

20.

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

Kuzminykh D, Polykovskiy D, Kadurin A, Zhebrak A, Baskov I, Nikolenko S, Shayakhmetov R, Zhavoronkov A.

Mol Pharm. 2018 Oct 1;15(10):4378-4385. doi: 10.1021/acs.molpharmaceut.7b01134. Epub 2018 Mar 5.

21.

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

Ravi R, Noonan KA, Pham V, Bedi R, Zhavoronkov A, Ozerov IV, Makarev E, V Artemov A, Wysocki PT, Mehra R, Nimmagadda S, Marchionni L, Sidransky D, Borrello IM, Izumchenko E, Bedi A.

Nat Commun. 2018 Feb 21;9(1):741. doi: 10.1038/s41467-017-02696-6.

22.

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, Ogu IO, Zhavoronkov A.

Oncotarget. 2017 Nov 9;9(5):5665-5690. doi: 10.18632/oncotarget.22345. eCollection 2018 Jan 19.

23.

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

Lashmanova E, Zemskaya N, Proshkina E, Kudryavtseva A, Volosnikova M, Marusich E, Leonov S, Zhavoronkov A, Moskalev A.

Front Pharmacol. 2017 Dec 7;8:884. doi: 10.3389/fphar.2017.00884. eCollection 2017.

24.

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

Mamoshina P, Kochetov K, Putin E, Cortese F, Aliper A, Lee WS, Ahn SM, Uhn L, Skjodt N, Kovalchuk O, Scheibye-Knudsen M, Zhavoronkov A.

J Gerontol A Biol Sci Med Sci. 2018 Oct 8;73(11):1482-1490. doi: 10.1093/gerona/gly005.

25.

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

Borisov N, Tkachev V, Suntsova M, Kovalchuk O, Zhavoronkov A, Muchnik I, Buzdin A.

Cell Cycle. 2018;17(4):486-491. doi: 10.1080/15384101.2017.1417706. Epub 2018 Jan 17.

26.

Residual γH2AX foci induced by low dose x-ray radiation in bone marrow mesenchymal stem cells do not cause accelerated senescence in the progeny of irradiated cells.

Pustovalova M, Astrelina ТA, Grekhova A, Vorobyeva N, Tsvetkova A, Blokhina T, Nikitina V, Suchkova Y, Usupzhanova D, Brunchukov V, Kobzeva I, Karaseva Т, Ozerov IV, Samoylov A, Bushmanov A, Leonov S, Izumchenko E, Zhavoronkov A, Klokov D, Osipov AN.

Aging (Albany NY). 2017 Nov 21;9(11):2397-2410. doi: 10.18632/aging.101327.

27.

Towards natural mimetics of metformin and rapamycin.

Aliper A, Jellen L, Cortese F, Artemov A, Karpinsky-Semper D, Moskalev A, Swick AG, Zhavoronkov A.

Aging (Albany NY). 2017 Nov 15;9(11):2245-2268. doi: 10.18632/aging.101319.

28.

Potentialities of MicroRNA Diagnosis in Patients with Bladder Cancer.

Shegay PV, Zhavoronkov AA, Gaifullin NM, Vorob'ev NV, Alekseev BY, Popov SV, Garazha AV, Buzdin AA, Kaprin AD.

Bull Exp Biol Med. 2017 Nov;164(1):106-108. doi: 10.1007/s10517-017-3935-3. Epub 2017 Nov 9.

PMID:
29119388
29.

γH2AX, 53BP1 and Rad51 protein foci changes in mesenchymal stem cells during prolonged X-ray irradiation.

Tsvetkova A, Ozerov IV, Pustovalova M, Grekhova A, Eremin P, Vorobyeva N, Eremin I, Pulin A, Zorin V, Kopnin P, Leonov S, Zhavoronkov A, Klokov D, Osipov AN.

Oncotarget. 2017 Jul 12;8(38):64317-64329. doi: 10.18632/oncotarget.19203. eCollection 2017 Sep 8.

30.

Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pathways Using Gene Expression Data.

Buzdin AA, Prassolov V, Zhavoronkov AA, Borisov NM.

Methods Mol Biol. 2017;1613:53-83. doi: 10.1007/978-1-4939-7027-8_4.

PMID:
28849558
31.

Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS).

Aliper AM, Korzinkin MB, Kuzmina NB, Zenin AA, Venkova LS, Smirnov PY, Zhavoronkov AA, Buzdin AA, Borisov NM.

Methods Mol Biol. 2017;1613:31-51. doi: 10.1007/978-1-4939-7027-8_3.

PMID:
28849557
32.

Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data.

Borisov N, Suntsova M, Sorokin M, Garazha A, Kovalchuk O, Aliper A, Ilnitskaya E, Lezhnina K, Korzinkin M, Tkachev V, Saenko V, Saenko Y, Sokov DG, Gaifullin NM, Kashintsev K, Shirokorad V, Shabalina I, Zhavoronkov A, Mishra B, Cantor CR, Buzdin A.

Cell Cycle. 2017 Oct 2;16(19):1810-1823. doi: 10.1080/15384101.2017.1361068. Epub 2017 Aug 21.

33.

A comparative review of computational methods for pathway perturbation analysis: dynamical and topological perspectives.

Vanhaelen Q, Aliper AM, Zhavoronkov A.

Mol Biosyst. 2017 Aug 22;13(9):1692-1704. doi: 10.1039/c7mb00170c. Review.

PMID:
28714509
34.

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.

Mol Pharm. 2017 Sep 5;14(9):3098-3104. doi: 10.1021/acs.molpharmaceut.7b00346. Epub 2017 Aug 4.

PMID:
28703000
35.

An analysis of gene expression data involving examination of signaling pathways activation reveals new insights into the mechanism of action of minoxidil topical foam in men with androgenetic alopecia.

Stamatas GN, Wu J, Pappas A, Mirmirani P, McCormick TS, Cooper KD, Consolo M, Schastnaya J, Ozerov IV, Aliper A, Zhavoronkov A.

Cell Cycle. 2017;16(17):1578-1584. doi: 10.1080/15384101.2017.1327492. Epub 2017 Jun 8.

36.

In silico analysis of pathways activation landscape in oral squamous cell carcinoma and oral leukoplakia.

Makarev E, Schubert AD, Kanherkar RR, London N, Teka M, Ozerov I, Lezhnina K, Bedi A, Ravi R, Mehra R, Hoque MO, Sloma I, Gaykalova DA, Csoka AB, Sidransky D, Zhavoronkov A, Izumchenko E.

Cell Death Discov. 2017 May 22;3:17022. doi: 10.1038/cddiscovery.2017.22. eCollection 2017.

37.

SMAD4 Loss Is Associated with Cetuximab Resistance and Induction of MAPK/JNK Activation in Head and Neck Cancer Cells.

Ozawa H, Ranaweera RS, Izumchenko E, Makarev E, Zhavoronkov A, Fertig EJ, Howard JD, Markovic A, Bedi A, Ravi R, Perez J, Le QT, Kong CS, Jordan RC, Wang H, Kang H, Quon H, Sidransky D, Chung CH.

Clin Cancer Res. 2017 Sep 1;23(17):5162-5175. doi: 10.1158/1078-0432.CCR-16-1686. Epub 2017 May 18.

38.

The DrugAge database of aging-related drugs.

Barardo D, Thornton D, Thoppil H, Walsh M, Sharifi S, Ferreira S, Anžič A, Fernandes M, Monteiro P, Grum T, Cordeiro R, De-Souza EA, Budovsky A, Araujo N, Gruber J, Petrascheck M, Fraifeld VE, Zhavoronkov A, Moskalev A, de Magalhães JP.

Aging Cell. 2017 Jun;16(3):594-597. doi: 10.1111/acel.12585. Epub 2017 Mar 16.

39.

Effect of lentivirus-mediated shRNA inactivation of HK1, HK2, and HK3 genes in colorectal cancer and melanoma cells.

Kudryavtseva AV, Fedorova MS, Zhavoronkov A, Moskalev AA, Zasedatelev AS, Dmitriev AA, Sadritdinova AF, Karpova IY, Nyushko KM, Kalinin DV, Volchenko NN, Melnikova NV, Klimina KM, Sidorov DV, Popov AY, Nasedkina TV, Kaprin AD, Alekseev BY, Krasnov GS, Snezhkina AV.

BMC Genet. 2016 Dec 22;17(Suppl 3):156. doi: 10.1186/s12863-016-0459-1.

40.

Differential expression of alternatively spliced transcripts related to energy metabolism in colorectal cancer.

Snezhkina AV, Krasnov GS, Zaretsky AR, Zhavoronkov A, Nyushko KM, Moskalev AA, Karpova IY, Afremova AI, Lipatova AV, Kochetkov DV, Fedorova MS, Volchenko NN, Sadritdinova AF, Melnikova NV, Sidorov DV, Popov AY, Kalinin DV, Kaprin AD, Alekseev BY, Dmitriev AA, Kudryavtseva AV.

BMC Genomics. 2016 Dec 28;17(Suppl 14):1011. doi: 10.1186/s12864-016-3351-5.

41.

Early stage of cytomegalovirus infection suppresses host microRNA expression regulation in human fibroblasts.

Buzdin AA, Artcibasova AV, Fedorova NF, Suntsova MV, Garazha AV, Sorokin MI, Allina D, Shalatonin M, Borisov NM, Zhavoronkov AA, Kovalchuk I, Kovalchuk O, Kushch AA.

Cell Cycle. 2016 Dec 16;15(24):3378-3389. doi: 10.1080/15384101.2016.1241928.

42.

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.

Oncotarget. 2017 Feb 14;8(7):10883-10890. doi: 10.18632/oncotarget.14073.

43.

Accumulation of spontaneous γH2AX foci in long-term cultured mesenchymal stromal cells.

Pustovalova M, Grekhova A, Astrelina Т, Nikitina V, Dobrovolskaya E, Suchkova Y, Kobzeva I, Usupzhanova D, Vorobyeva N, Samoylov A, Bushmanov A, Ozerov IV, Zhavoronkov A, Leonov S, Klokov D, Osipov AN.

Aging (Albany NY). 2016 Dec 11;8(12):3498-3506. doi: 10.18632/aging.101142.

44.

Molecular pathway activation features of pediatric acute myeloid leukemia (AML) and acute lymphoblast leukemia (ALL) cells.

Petrov I, Suntsova M, Mutorova O, Sorokin M, Garazha A, Ilnitskaya E, Spirin P, Larin S, Kovalchuk O, Prassolov V, Zhavoronkov A, Roumiantsev A, Buzdin A.

Aging (Albany NY). 2016 Nov 19;8(11):2936-2947. doi: 10.18632/aging.101102.

45.

In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development.

Ozerov IV, Lezhnina KV, Izumchenko E, Artemov AV, Medintsev S, Vanhaelen Q, Aliper A, Vijg J, Osipov AN, Labat I, West MD, Buzdin A, Cantor CR, Nikolsky Y, Borisov N, Irincheeva I, Khokhlovich E, Sidransky D, Camargo ML, Zhavoronkov A.

Nat Commun. 2016 Nov 16;7:13427. doi: 10.1038/ncomms13427.

46.

Design of efficient computational workflows for in silico drug repurposing.

Vanhaelen Q, Mamoshina P, Aliper AM, Artemov A, Lezhnina K, Ozerov I, Labat I, Zhavoronkov A.

Drug Discov Today. 2017 Feb;22(2):210-222. doi: 10.1016/j.drudis.2016.09.019. Epub 2016 Sep 28. Review.

PMID:
27693712
47.

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

Aliper A, Belikov AV, Garazha A, Jellen L, Artemov A, Suntsova M, Ivanova A, Venkova L, Borisov N, Buzdin A, Mamoshina P, Putin E, Swick AG, Moskalev A, Zhavoronkov A.

Aging (Albany NY). 2016 Sep 24;8(9):2127-2152. doi: 10.18632/aging.101047.

48.

Cancer megafunds with in silico and in vitro validation: accelerating cancer drug discovery via financial engineering without financial crisis.

Yang X, Debonneuil E, Zhavoronkov A, Mishra B.

Oncotarget. 2016 Sep 6;7(36):57671-57678. doi: 10.18632/oncotarget.9808.

49.

Common pathway signature in lung and liver fibrosis.

Makarev E, Izumchenko E, Aihara F, Wysocki PT, Zhu Q, Buzdin A, Sidransky D, Zhavoronkov A, Atala A.

Cell Cycle. 2016 Jul 2;15(13):1667-73. doi: 10.1080/15384101.2016.1152435. Epub 2016 Jun 7.

50.

Pro-fibrotic pathway activation in trabecular meshwork and lamina cribrosa is the main driving force of glaucoma.

Zhavoronkov A, Izumchenko E, Kanherkar RR, Teka M, Cantor C, Manaye K, Sidransky D, West MD, Makarev E, Csoka AB.

Cell Cycle. 2016 Jun 17;15(12):1643-52. doi: 10.1080/15384101.2016.1170261. Erratum in: Cell Cycle. 2016 Aug 2;15(15):2087.

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