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Research Strategic Pillar Keywords
- Metabolic Health
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Dive into the research topics where Rovshan Sadygov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MS
9/15/20 → 6/30/24
Project: Other project
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Protein turnover models for LC-MS data of heavy water metabolic labeling
Sadygov, R. G., Mar 1 2022, In: Briefings in Bioinformatics. 23, 2, bbab598.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Software Tool for Visualization and Validation of Protein Turnover Rates Using Heavy Water Metabolic Labeling and LC-MS
Deberneh, H. M. & Sadygov, R. G., Dec 2022, In: International journal of molecular sciences. 23, 23, 14620.Research output: Contribution to journal › Article › peer-review
Open Access -
A novel estimator of the interaction matrix in Graphical Gaussian Model of omics data using the entropy of non-equilibrium systems
Borzou, A. & Sadygov, R. G., Mar 15 2021, In: Bioinformatics. 37, 6, p. 837-844 8 p.Research output: Contribution to journal › Article › peer-review
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Erratum: d2ome, Software for in vivo protein turnover analysis using heavy water labeling and LC-MS, reveals alterations of hepatic proteome dynamics in a mouse model of NAFLD (Journal of Proteome Research (2018) 17 (11) (3740-3748) DOI: 10.1021/acs.jproteome.8b00417)
Sadygov, R. G., Avva, J., Rahman, M., Lee, K., Ilchenko, S., Kasumov, T. & Borzou, A., Oct 1 2021, In: Journal of Proteome Research. 20, 10, p. 4912 1 p.Research output: Contribution to journal › Comment/debate › peer-review
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Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic Labeling
Sadygov, R. G., Apr 2 2021, In: Journal of Proteome Research. 20, 4, p. 2035-2041 7 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations