Projects per year
Personal profile
Research Strategic Pillar
Dr. Randall Urban, VP and Chief Research Officer, has determined that UTMB research should be prioritized into six health communities. This researcher has received the following badge(s):
Research Strategic Pillar Keywords
- Specialized 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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Protein turnover estimation from fragment ions and precursor enrichment in heavy water labeled LC-MS experiments
Sadygov, R. (PI)
National Institute of General Medical Sciences
9/10/24 → 8/31/28
Project: Research project
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Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MS
Sadygov, R. (PI)
National Institute of General Medical Sciences
9/15/20 → 6/30/25
Project: Research project
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"Dissecting the integrated mechanisms of protein turnover to prevent proteostatic decline with aging"
Sadygov, R. (PI)
Oklahoma Medical Research Foundation
9/30/22 → 5/31/24
Project: Research project
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NLM Training Grant in Biomedical Infomatics
Sadygov, R. (PI)
1/1/19 → 12/31/19
Project: Research project
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Exact Integral Formulas for False Discovery Rate and the Variance of False Discovery Proportion
Sadygov, R. G., Zhu, J. X. & Deberneh, H. M., Jun 7 2024, In: Journal of Proteome Research. 23, 6, p. 2298-2305 8 p.Research output: Contribution to journal › Article › peer-review
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Numbers of Exchangeable Hydrogens from LC-MS Data of Heavy Water Metabolically Labeled Samples
Deberneh, H. M., Taylor, M. E., Borowik, A. K., Miyagi, M., Miller, B. F. & Sadygov, R. G., 2024, (Accepted/In press) In: Journal of the American Society for Mass Spectrometry.Research output: Contribution to journal › Article › peer-review
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A large-scale LC-MS dataset of murine liver proteome from time course of heavy water metabolic labeling
Deberneh, H. M., Abdelrahman, D. R., Verma, S., Linares, J. J., Murton, A. J., Russell, W. K., Kuyumcu-Martinez, M. N., Miller, B. F. & Sadygov, R. G., Dec 2023, In: Scientific Data. 10, 1, 635.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Flexible Quality Control for Protein Turnover Rates Using d2ome
Deberneh, H. M. & Sadygov, R. G., Nov 2023, In: International journal of molecular sciences. 24, 21, 15553.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling
Deberneh, H. M., Abdelrahman, D. R., Verma, S., Linares, J. J., Murton, A. J., Russell, W. K., Kuyumcu-Martinez, M. N., Miller, B. F. & Sadygov, R. G., Dec 2023, In: Communications Chemistry. 6, 1, 72.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations