PROJECT #16958 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
These projects aim to simulate the dynamics of a large number of designed mini-proteins (< 50 residues), to establish the ability of molecular simulations to accurately predict thermodynamic and kinetic effects of designed mutations. We aim to develop a library of experimental and simulation data so we can compare the performance of different techniques for computational protein design, such as adaptive sampling. Prediction and design of mini-protein structure and dynamics is highly relevant to developing new biotherapeutics for a wide range of human diseases.
Project System
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16935 chignolin
PROJECT INFO
Manager(s): Prof. Vincent Voelz
Institution: Temple University
PROJECT WORK UNIT SUMMARY
Atoms: 12,120
Core: GRO_A8
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Friday, 23 July 2021 15:14:10
|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Friday, 23 July 2021 15:14:10
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | RYZEN 5 5600X 6-CORE | 12 | 26,524 | 318,288 | AMD |
| 2 | RYZEN 7 5800X 8-CORE | 16 | 17,900 | 286,400 | AMD |
| 3 | RYZEN 9 5950X 16-CORE | 32 | 8,073 | 258,336 | AMD |
| 4 | RYZEN 7 3700X 8-CORE | 16 | 11,496 | 183,936 | AMD |
| 5 | CORE I3-9100F CPU @ 3.60GHZ | 4 | 28,281 | 113,124 | Intel |
| 6 | RYZEN 5 2600 SIX-CORE | 12 | 5,822 | 69,864 | AMD |
| 7 | RYZEN THREADRIPPER 3960X 24-CORE | 48 | 1,312 | 62,976 | AMD |
| 8 | CORE M3-7Y30 CPU @ 1.00GHZ | 4 | 3,865 | 15,460 | Intel |
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