Question
The design of these compounds may use dead-end elimination to minimize their conformational energy. For 10 points each:
[10m] Name these compounds whose structure can be predicted with the aid of “knowledge-based” potentials from the PDB. Rotamer libraries for these compounds may tabulate allowed values for the angles omega, phi, and psi.
ANSWER: proteins [accept peptides]
[10e] Protein design specifies a 3D tertiary structure and aims to find a sequence that will match it when it undergoes this process. Prions are formed when this process occurs incorrectly.
ANSWER: folding [or protein folding]
[10h] This two-word term refers to the design of proteins that do not occur in nature. David Baker’s lab’s production of Top7 using only algorithmic means exemplifies protein design described by this term.
ANSWER: de novo [or de novo protein design]
<MY, Chemistry>
Summary
| California | 2025-02-01 | Y | 3 | 10.00 | 67% | 33% | 0% |
| Great Lakes | 2025-02-01 | Y | 6 | 13.33 | 100% | 33% | 0% |
| Lower Mid-Atlantic | 2025-02-01 | Y | 6 | 15.00 | 100% | 50% | 0% |
| Midwest | 2025-02-01 | Y | 6 | 18.33 | 100% | 83% | 0% |
| Overflow | 2025-02-01 | Y | 5 | 16.00 | 80% | 40% | 40% |
| Pacific Northwest | 2025-02-01 | Y | 2 | 15.00 | 100% | 50% | 0% |
| Southeast | 2025-02-01 | Y | 3 | 10.00 | 100% | 0% | 0% |
| UK | 2025-02-01 | Y | 10 | 15.00 | 100% | 40% | 10% |
Data
| Claremont B | Claremont A | 0 | 0 | 0 | 0 |
| UC Berkeley A | UC Berkeley B | 10 | 10 | 0 | 20 |
| UCLA | UCSD | 0 | 10 | 0 | 10 |