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Best matches for insilico+medicine:

Towards natural mimetics of metformin and rapamycin. Aliper A et al. Aging (Albany NY). (2017)

Applications of Deep Learning in Biomedicine. Mamoshina P et al. Mol Pharm. (2016)

Design of efficient computational workflows for in silico drug repurposing. Vanhaelen Q et al. Drug Discov Today. (2017)

Search results

Items: 1 to 20 of 61

1.

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.

2.

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 Jan 21. doi: 10.1007/s12079-018-00503-5. [Epub ahead of print]

PMID:
30666556
3.

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.

4.

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.

5.

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.

6.

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.

7.

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.

8.

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
9.

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.

10.

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.

11.

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.

12.

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
13.

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.

14.

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.

15.

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.

16.

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.

17.

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.

18.

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.

19.

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.

20.

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.

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