PROJECT #16986 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 3950X 16-CORE 32 32,037 1,025,184 AMD
2 RYZEN 7 5800X 8-CORE 16 37,393 598,288 AMD
3 RYZEN 9 5950X 16-CORE 32 13,099 419,168 AMD
4 XEON CPU E5-2680 V3 @ 2.50GHZ 24 12,889 309,336 Intel
5 CORE I9-10850K CPU @ 3.60GHZ 20 14,958 299,160 Intel
6 CORE I9-10900X CPU @ 3.70GHZ 20 14,626 292,520 Intel
7 RYZEN 5 5600X 6-CORE 12 21,181 254,172 AMD
8 CORE I7-8700 CPU @ 3.20GHZ 12 19,932 239,184 Intel
9 RYZEN THREADRIPPER 3960X 24-CORE 48 4,592 220,416 AMD
10 CORE I7-8700K CPU @ 3.70GHZ 12 16,039 192,468 Intel
11 CORE I7-10700 CPU @ 2.90GHZ 16 10,606 169,696 Intel
12 RYZEN 7 2700X EIGHT-CORE 16 10,123 161,968 AMD
13 RYZEN 5 3600 6-CORE 12 11,536 138,432 AMD
14 11TH GEN CORE I5-11400 @ 2.60GHZ 12 8,909 106,908 Intel
15 CORE I7-6700K CPU @ 4.00GHZ 8 11,486 91,888 Intel
16 XEON CPU E5-2620 0 @ 2.00GHZ 12 4,554 54,648 Intel