PROJECT #16988 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

These simulations are designed to test our understanding the folding mechanism of alpha-helical hairpins. We are trying to study how disulfide cross-linkers and sequence variants affect the folding thermodynamics and kinetics of these proteins, to learn how we might better use molecular simulation methods to design effective protein binder scaffolds, for use as "affibody" cancer therapeutics, for example.

PROJECT INFO

Manager(s): Prof. Vincent Voelz

Institution: Temple University

PROJECT WORK UNIT SUMMARY

Atoms: 23,400

Core: GRO_A8

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Tuesday, 28 September 2021 06:02:47

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 Tuesday, 28 September 2021 06:02:47

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 5950X 16-CORE 32 32,803 1,049,696 AMD
2 RYZEN 9 3950X 16-CORE 32 32,308 1,033,856 AMD
3 RYZEN 7 5800X 8-CORE 16 27,929 446,864 AMD
4 RYZEN 7 3800X 8-CORE 16 21,701 347,216 AMD
5 RYZEN 9 5900X 12-CORE 24 14,141 339,384 AMD
6 XEON CPU E5-2680 V3 @ 2.50GHZ 24 13,417 322,008 Intel
7 CORE I9-10900X CPU @ 3.70GHZ 20 14,844 296,880 Intel
8 11TH GEN CORE I5-11600K @ 3.90GHZ 12 23,089 277,068 Intel
9 CORE I7-8700 CPU @ 3.20GHZ 12 20,555 246,660 Intel
10 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,964 194,992 Intel
11 RYZEN 5 3600 6-CORE 12 14,741 176,892 AMD
12 RYZEN 5 2600 SIX-CORE 12 8,520 102,240 AMD
13 CORE I7-5820K CPU @ 3.30GHZ 12 8,149 97,788 Intel
14 XEON CPU E5-2620 0 @ 2.00GHZ 12 6,869 82,428 Intel
15 CORE I7-6700K CPU @ 4.00GHZ 8 9,453 75,624 Intel
16 RYZEN 5 3500U 8 1,743 13,944 AMD