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
- Life Span 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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"Dissecting the integrated mechanisms of protein turnover to prevent proteostatic decline with aging"
Oklahoma Medical Research Foundation
9/30/22 → 5/31/24
Project: Other project
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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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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., Russell, W., Kuyumcu-Martinez, M. N., Miller, B. F. & Sadygov, R., Dec 2023, In: Scientific Data. 10, 1, 635.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., 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 Access2 Scopus citations -
Retention Time Alignment for Protein Turnover Studies Using Heavy Water Metabolic Labeling
Deberneh, H. M. & Sadygov, R. G., Feb 3 2023, In: Journal of Proteome Research. 22, 2, p. 410-419 10 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
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
6 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 Access3 Scopus citations