Format
Sort by

Send to

Choose Destination

Search Tip

Sort by Best Match to display results from highest to lowest relevance to your search terms.

Try it Now

Search results

Items: 1 to 20 of 145

1.

A review of the biomedical innovations for healthy longevity.

Moskalev A, Anisimov V, Aliper A, Artemov A, Asadullah K, Belsky D, Baranova A, de Grey A, Dixit VD, Debonneuil E, Dobrovolskaya E, Fedichev P, Fedintsev A, Fraifeld V, Franceschi C, Freer R, Fülöp T, Feige J, Gems D, Gladyshev V, Gorbunova V, Irincheeva I, Jager S, Jazwinski SM, Kaeberlein M, Kennedy B, Khaltourina D, Kovalchuk I, Kovalchuk O, Kozin S, Kulminski A, Lashmanova E, Lezhnina K, Liu GH, Longo V, Mamoshina P, Maslov A, Pedro de Magalhaes J, Mitchell J, Mitnitski A, Nikolsky Y, Ozerov I, Pasyukova E, Peregudova D, Popov V, Proshkina E, Putin E, Rogaev E, Rogina B, Schastnaya J, Seluanov A, Shaposhnikov M, Simm A, Skulachev V, Skulachev M, Solovev I, Spindler S, Stefanova N, Suh Y, Swick A, Tower J, Gudkov AV, Vijg J, Voronkov A, West M, Wagner W, Yashin A, Zemskaya N, Zhumadilov Z, Zhavoronkov A.

Aging (Albany NY). 2017 Jan 29;9(1):7-25. doi: 10.18632/aging.101163. No abstract available.

2.

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.

3.

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.

4.

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.

PMID:
28051642
5.

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. 2016 Dec 22. doi: 10.18632/oncotarget.14073. [Epub ahead of print]

6.

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.

7.

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.

8.

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.

9.

New function of the myostatin/activin type I receptor (ALK4) as a mediator of muscle atrophy and muscle regeneration.

Pasteuning-Vuhman S, Boertje-van der Meulen JW, van Putten M, Overzier M, Ten Dijke P, Kiełbasa SM, Arindrarto W, Wolterbeek R, Lezhnina KV, Ozerov IV, Aliper AM, Hoogaars WM, Aartsma-Rus A, Loomans CJ.

FASEB J. 2017 Jan;31(1):238-255. doi: 10.1096/fj.201600675R.

10.

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. Review.

PMID:
27693712
11.

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.

12.

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.

13.

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.

14.

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

Zhavoronkov A, Kanherkar RR, Izumchenko E, 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.

15.

Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data.

Aliper A, Plis S, Artemov A, Ulloa A, Mamoshina P, Zhavoronkov A.

Mol Pharm. 2016 Jul 5;13(7):2524-30. doi: 10.1021/acs.molpharmaceut.6b00248.

16.

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.

17.

MiRImpact, a new bioinformatic method using complete microRNA expression profiles to assess their overall influence on the activity of intracellular molecular pathways.

Artcibasova AV, Korzinkin MB, Sorokin MI, Shegay PV, Zhavoronkov AA, Gaifullin N, Alekseev BY, Vorobyev NV, Kuzmin DV, Kaprin АD, Borisov NM, Buzdin AA.

Cell Cycle. 2016;15(5):689-98. doi: 10.1080/15384101.2016.1147633.

18.

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.

PMID:
27007977
19.

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

Moskalev A, Chernyagina E, Tsvetkov V, Fedintsev A, Shaposhnikov M, Krut'ko V, Zhavoronkov A, Kennedy BK.

Aging Cell. 2016 Jun;15(3):407-15. doi: 10.1111/acel.12463. Review.

20.

Inhibitors of mTOR in aging and cancer.

Zhavoronkov A.

Oncotarget. 2015 Dec 29;6(42):45010-1. doi: 10.18632/oncotarget.6878. No abstract available.

Items per page

Supplemental Content

Loading ...
Support Center