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Showing 37 to 43 of 43 entries
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The use of chemical design tools to transform proteomics data into drug candidates.

BioTechniques

Dean PM, Zanders ED.
PMID: 11906004
Biotechniques. 2002 Mar;28-33.

The Human Genome Project has fueled the massive information-driven growth of genomics and proteomics and promises to deliver new insights into biology and medicine. Since proteins represent the majority of drug targets, these molecules are the focus of activity...

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Dean PM, Zanders ED. The use of chemical design tools to transform proteomics data into drug candidates. Biotechniques. 2002;28-33
Dean, P. M., & Zanders, E. D. (2002). The use of chemical design tools to transform proteomics data into drug candidates. BioTechniques, 28-33.
Dean, Philip M, and Zanders, Edward D. "The use of chemical design tools to transform proteomics data into drug candidates." BioTechniques vol. (2002): 28-33.
Dean PM, Zanders ED. The use of chemical design tools to transform proteomics data into drug candidates. Biotechniques. 2002 Mar;28-33. PMID: 11906004.
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Proteomic and phosphoproteomic comparison of human ES and iPS cells.

Nature methods

Phanstiel DH, Brumbaugh J, Wenger CD, Tian S, Probasco MD, Bailey DJ, Swaney DL, Tervo MA, Bolin JM, Ruotti V, Stewart R, Thomson JA, Coon JJ.
PMID: 21983960
Nat Methods. 2011 Sep 11;8(10):821-7. doi: 10.1038/nmeth.1699.

Combining high-mass-accuracy mass spectrometry, isobaric tagging and software for multiplexed, large-scale protein quantification, we report deep proteomic coverage of four human embryonic stem cell and four induced pluripotent stem cell lines in biological triplicate. This 24-sample comparison resulted in...

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Phanstiel DH, Brumbaugh J, Wenger CD, et al. Proteomic and phosphoproteomic comparison of human ES and iPS cells. Nat Methods. 2011;8(10):821-7doi: 10.1038/nmeth.1699.
Phanstiel, D. H., Brumbaugh, J., Wenger, C. D., Tian, S., Probasco, M. D., Bailey, D. J., Swaney, D. L., Tervo, M. A., Bolin, J. M., Ruotti, V., Stewart, R., Thomson, J. A., & Coon, J. J. (2011). Proteomic and phosphoproteomic comparison of human ES and iPS cells. Nature methods, 8(10), 821-7. https://doi.org/10.1038/nmeth.1699
Phanstiel, Douglas H, et al. "Proteomic and phosphoproteomic comparison of human ES and iPS cells." Nature methods vol. 8,10 (2011): 821-7. doi: https://doi.org/10.1038/nmeth.1699
Phanstiel DH, Brumbaugh J, Wenger CD, Tian S, Probasco MD, Bailey DJ, Swaney DL, Tervo MA, Bolin JM, Ruotti V, Stewart R, Thomson JA, Coon JJ. Proteomic and phosphoproteomic comparison of human ES and iPS cells. Nat Methods. 2011 Sep 11;8(10):821-7. doi: 10.1038/nmeth.1699. PMID: 21983960; PMCID: PMC3432645.
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Mammoth data set from human liver reported.

Journal of proteome research

Eastman QM.
PMID: 19799393
J Proteome Res. 2010 Jan;9(1):3. doi: 10.1021/pr9007464.

No abstract available.

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Eastman QM. Mammoth data set from human liver reported. J Proteome Res. 2010;9(1):3doi: 10.1021/pr9007464.
Eastman, Q. M. (2010). Mammoth data set from human liver reported. Journal of proteome research, 9(1), 3. https://doi.org/10.1021/pr9007464
Eastman, Quinn Martin. "Mammoth data set from human liver reported." Journal of proteome research vol. 9,1 (2010): 3. doi: https://doi.org/10.1021/pr9007464
Eastman QM. Mammoth data set from human liver reported. J Proteome Res. 2010 Jan;9(1):3. doi: 10.1021/pr9007464. PMID: 19799393.
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High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry.

Journal of visualized experiments : JoVE

Wang Z, Kavdia K, Dey KK, Pagala VR, Kodali K, Liu D, Lee DG, Sun H, Chepyala SR, Cho JH, Niu M, High AA, Peng J.
PMID: 32894271
J Vis Exp. 2020 Aug 18;(162). doi: 10.3791/61684.

Isobaric tandem mass tag (TMT) labeling is widely used in proteomics because of its high multiplexing capacity and deep proteome coverage. Recently, an expanded 16-plex TMT method has been introduced, which further increases the throughput of proteomic studies. In...

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Wang Z, Kavdia K, Dey KK, et al. High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry. J Vis Exp. 2020;(162)doi: 10.3791/61684.
Wang, Z., Kavdia, K., Dey, K. K., Pagala, V. R., Kodali, K., Liu, D., Lee, D. G., Sun, H., Chepyala, S. R., Cho, J. H., Niu, M., High, A. A., & Peng, J. (2020). High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry. Journal of visualized experiments : JoVE, (162), . https://doi.org/10.3791/61684
Wang, Zhen, et al. "High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry." Journal of visualized experiments : JoVE vol. ,162 (2020). doi: https://doi.org/10.3791/61684
Wang Z, Kavdia K, Dey KK, Pagala VR, Kodali K, Liu D, Lee DG, Sun H, Chepyala SR, Cho JH, Niu M, High AA, Peng J. High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry. J Vis Exp. 2020 Aug 18;(162). doi: 10.3791/61684. PMID: 32894271; PMCID: PMC7752892.
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The secret life of cells.

Nature methods

Eisenstein M.
PMID: 31907479
Nat Methods. 2020 Jan;17(1):7-10. doi: 10.1038/s41592-019-0698-y.

No abstract available.

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Eisenstein M. The secret life of cells. Nat Methods. 2020;17(1):7-10doi: 10.1038/s41592-019-0698-y.
Eisenstein, M. (2020). The secret life of cells. Nature methods, 17(1), 7-10. https://doi.org/10.1038/s41592-019-0698-y
Eisenstein, Michael. "The secret life of cells." Nature methods vol. 17,1 (2020): 7-10. doi: https://doi.org/10.1038/s41592-019-0698-y
Eisenstein M. The secret life of cells. Nat Methods. 2020 Jan;17(1):7-10. doi: 10.1038/s41592-019-0698-y. PMID: 31907479.
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Exploring the Uncharacterized Human Proteome Using neXtProt.

Journal of proteome research

Duek P, Gateau A, Bairoch A, Lane L.
PMID: 30191714
J Proteome Res. 2018 Dec 07;17(12):4211-4226. doi: 10.1021/acs.jproteome.8b00537. Epub 2018 Sep 20.

20,230 protein-coding genes have been predicted from the analysis of the human genome (neXtProt release 2018-01-17), and about 10% of them are still lacking functional annotation, either predicted by bioinformatics tools or captured from experimental reports. A systematic exploration...

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Duek P, Gateau A, Bairoch A, et al. Exploring the Uncharacterized Human Proteome Using neXtProt. J Proteome Res. 2018;17(12):4211-4226doi: 10.1021/acs.jproteome.8b00537.
Duek, P., Gateau, A., Bairoch, A., & Lane, L. (2018). Exploring the Uncharacterized Human Proteome Using neXtProt. Journal of proteome research, 17(12), 4211-4226. https://doi.org/10.1021/acs.jproteome.8b00537
Duek, Paula, et al. "Exploring the Uncharacterized Human Proteome Using neXtProt." Journal of proteome research vol. 17,12 (2018): 4211-4226. doi: https://doi.org/10.1021/acs.jproteome.8b00537
Duek P, Gateau A, Bairoch A, Lane L. Exploring the Uncharacterized Human Proteome Using neXtProt. J Proteome Res. 2018 Dec 07;17(12):4211-4226. doi: 10.1021/acs.jproteome.8b00537. Epub 2018 Sep 20. PMID: 30191714.
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Correcting mistakes in predicting distributions.

Bioinformatics (Oxford, England)

Marot-Lassauzaie V, Bernhofer M, Rost B.
PMID: 29762646
Bioinformatics. 2018 Oct 01;34(19):3385-3386. doi: 10.1093/bioinformatics/bty346.

MOTIVATION: Many applications monitor predictions of a whole range of features for biological datasets, e.g. the fraction of secreted human proteins in the human proteome. Results and error estimates are typically derived from publications.RESULTS: Here, we present a simple,...

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Marot-Lassauzaie V, Bernhofer M, Rost B. Correcting mistakes in predicting distributions. Bioinformatics. 2018;34(19):3385-3386doi: 10.1093/bioinformatics/bty346.
Marot-Lassauzaie, V., Bernhofer, M., & Rost, B. (2018). Correcting mistakes in predicting distributions. Bioinformatics (Oxford, England), 34(19), 3385-3386. https://doi.org/10.1093/bioinformatics/bty346
Marot-Lassauzaie, Valérie, et al. "Correcting mistakes in predicting distributions." Bioinformatics (Oxford, England) vol. 34,19 (2018): 3385-3386. doi: https://doi.org/10.1093/bioinformatics/bty346
Marot-Lassauzaie V, Bernhofer M, Rost B. Correcting mistakes in predicting distributions. Bioinformatics. 2018 Oct 01;34(19):3385-3386. doi: 10.1093/bioinformatics/bty346. PMID: 29762646; PMCID: PMC6157078.
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Showing 37 to 43 of 43 entries