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Items: 11

1.

Identification of Novel Antibacterials Using Machine Learning Techniques.

Ivanenkov YA, Zhavoronkov A, Yamidanov RS, Osterman IA, Sergiev PV, Aladinskiy VA, Aladinskaya AV, Terentiev VA, Veselov MS, Ayginin AA, Kartsev VG, Skvortsov DA, Chemeris AV, Baimiev AK, Sofronova AA, Malyshev AS, Filkov GI, Bezrukov DS, Zagribelnyy BA, Putin EO, Puchinina MM, Dontsova OA.

Front Pharmacol. 2019 Aug 27;10:913. doi: 10.3389/fphar.2019.00913. eCollection 2019.

2.

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.

3.

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.

4.

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.

5.

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.

6.

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.

7.

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.

8.

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.

9.

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

Putin E, Mamoshina P, Aliper A, Korzinkin M, Moskalev A, Kolosov A, Ostrovskiy A, Cantor C, Vijg J, Zhavoronkov A.

Aging (Albany NY). 2016 May;8(5):1021-33. doi: 10.18632/aging.100968.

10.

Applications of Deep Learning in Biomedicine.

Mamoshina P, Vieira A, Putin E, Zhavoronkov A.

Mol Pharm. 2016 May 2;13(5):1445-54. doi: 10.1021/acs.molpharmaceut.5b00982. Epub 2016 Mar 29. Review.

PMID:
27007977
11.

[Peutz-Touraine-Jeghers syndrome in a 7-year-old girl].

Putin EM, Iastrebov EA.

Pediatriia. 1968 Jun;6:80. Russian. No abstract available.

PMID:
5711282

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