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Description of Research Projects of Faculty involved in the NSF REU Program
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cleary, Patricia Anne |
| Copyright Year | 2015 |
| Abstract | Sudeep Bhattacharyay (Chemistry) To Develope a Computational Inhibitor Screening Method for Quinone Reductases Quinone reductases (QRs) are cytosolic enzymes that are targets for anti-cancer and antimalarial drug development. QRs catalyze two-electron reduction of quinones to hydroquinones using a flavin adenosine dinucleotide cofactor. The redox chemistry involves hydride transfer reactions between a substrate/cosubstrate and the flavin ring of the cofactor via a classic one-site ‘ping-pong’ mechanism. This mechanism is unusual; the active-site appears to possess an oscillatory molecular recognition features (towards substrates/co-substrates) as it passes through its oxidative and reductive cycles. During a particular redox half-cycle, the observed changes in active-site properties (both in terms of geometric and dynamic) originate due to the charge separations between flavin ring atoms and the active-site. The redox state of the flavin and the resulting active-site changes are the primary determinants of molecular recognition. Therefore, a reliable model of selective inhibitor screening would require a precise determination of the QR-inhibitor interaction energies and the characterization of protein dynamics in the binding process. In the proposed study, a theoretical model of inhibition will be developed using mixed quantum/classical simulation. The study could provide accurate energetics for inhibitor binding and therefore, a reliable and faster computational inhibitor screening technique for this very important family of enzymes. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.uwec.edu/academics/college-arts-sciences/departments-programs/chemistry/explore-opportunities/research-experiences-for-undergraduates/upload/NSF-REU-2016-faculty-projects.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |