Archakov AI - Search Results

1

[Construction of protein semantic networks using PubMed/MEDLINE].

Ponomarenko EA, Lisitsa AV, Il'gisonis EV, Archakov AI. Ponomarenko EA, et al. Among authors: archakov ai. Mol Biol (Mosk). 2010 Jan-Feb;44(1):152-61. Mol Biol (Mosk). 2010. PMID: 20198869 Russian.

2

[Identification of differentially expressed proteins using automatic meta-analysis of proteomics-related articles].

Ponomarenko EA, Lisitsa AV, Petrak J, Moshkovskiĭ SA, Archakov AI. Ponomarenko EA, et al. Among authors: archakov ai. Biomed Khim. 2009 Jan-Feb;55(1):5-14. Biomed Khim. 2009. PMID: 19351029 Russian.

3

2DE-based approach for estimation of number of protein species in a cell.

Naryzhny SN, Lisitsa AV, Zgoda VG, Ponomarenko EA, Archakov AI. Naryzhny SN, et al. Among authors: archakov ai. Electrophoresis. 2014 Mar;35(6):895-900. doi: 10.1002/elps.201300525. Epub 2013 Dec 23. Electrophoresis. 2014. PMID: 24259369

4

[Knowledgebase as a tool for monitoring post-genomic medico-biological research].

Romashova IuA, Ponomarenko EA, Evdokimov PA, Shcherbakov AIu, Lisitsa AV, Archakov AI. Romashova IuA, et al. Among authors: archakov ai. Vestn Ross Akad Med Nauk. 2011;(8):20-4. Vestn Ross Akad Med Nauk. 2011. PMID: 21950131 Russian.

5

[Enzymatic synthesis of high-modified DNA].

Chudinov AV, Kiseleva YY, Kuznetsov VE, Shershov VE, Spitsyn MA, Guseinov TO, Lapa SA, Timofeev EN, Archakov AI, Lisitsa AV, Radko SP, Zasedatelev AS. Chudinov AV, et al. Among authors: archakov ai. Mol Biol (Mosk). 2017 May-Jun;51(3):534-544. doi: 10.7868/S0026898417030028. Mol Biol (Mosk). 2017. PMID: 28707670 Free article. Russian.

6

Challenges of the Human Proteome Project: 10-Year Experience of the Russian Consortium.

Archakov AI, Aseev AL, Bykov VA, Grigoriev AI, Govorun VM, Ilgisonis EV, Ivanov YD, Ivanov VT, Kiseleva OI, Kopylov AT, Lisitsa AV, Mazurenko SN, Makarov AA, Naryzhny SN, Pleshakova TO, Ponomarenko EA, Poverennaya EV, Pyatnitskii MA, Sagdeev RZ, Skryabin KG, Zgoda VG. Archakov AI, et al. J Proteome Res. 2019 Dec 6;18(12):4206-4214. doi: 10.1021/acs.jproteome.9b00358. Epub 2019 Oct 28. J Proteome Res. 2019. PMID: 31599598

7

Comparative ranking of human chromosomes based on post-genomic data.

Ponomarenko E, Poverennaya E, Pyatnitskiy M, Lisitsa A, Moshkovskii S, Ilgisonis E, Chernobrovkin A, Archakov A. Ponomarenko E, et al. OMICS. 2012 Nov;16(11):604-11. doi: 10.1089/omi.2012.0034. Epub 2012 Sep 11. OMICS. 2012. PMID: 22966780

8

[Blood metabolome analysis for creating a digital image of a healthy person].

Trifonova OP, Balashova EE, Maslov DL, Grigoriev AI, Lisitsa AV, Ponomarenko EA, Archakov AI. Trifonova OP, et al. Among authors: archakov ai. Biomed Khim. 2020 May;66(3):216-223. doi: 10.18097/PBMC20206603216. Biomed Khim. 2020. PMID: 32588827 Review. Russian.

9

The Size of the Human Proteome: The Width and Depth.

Ponomarenko EA, Poverennaya EV, Ilgisonis EV, Pyatnitskiy MA, Kopylov AT, Zgoda VG, Lisitsa AV, Archakov AI. Ponomarenko EA, et al. Among authors: archakov ai. Int J Anal Chem. 2016;2016:7436849. doi: 10.1155/2016/7436849. Epub 2016 May 19. Int J Anal Chem. 2016. PMID: 27298622 Free PMC article. Review.

10

Why Are the Correlations between mRNA and Protein Levels so Low among the 275 Predicted Protein-Coding Genes on Human Chromosome 18?

Poverennaya EV, Ilgisonis EV, Ponomarenko EA, Kopylov AT, Zgoda VG, Radko SP, Lisitsa AV, Archakov AI. Poverennaya EV, et al. Among authors: archakov ai. J Proteome Res. 2017 Dec 1;16(12):4311-4318. doi: 10.1021/acs.jproteome.7b00348. Epub 2017 Oct 27. J Proteome Res. 2017. PMID: 28956606

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