PROJECT #16994 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 Sunday, 16 January 2022 11:42:03

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 Sunday, 16 January 2022 11:42:03

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 7 5800X 8-CORE 16 40,593 649,488 AMD
2 RYZEN 9 3950X 16-CORE 32 17,588 562,816 AMD
3 RYZEN 9 5950X 16-CORE 32 12,416 397,312 AMD
4 CORE I9-10850K CPU @ 3.60GHZ 20 16,760 335,200 Intel
5 RYZEN 7 3800X 8-CORE 16 19,185 306,960 AMD
6 CORE I9-10900X CPU @ 3.70GHZ 20 14,822 296,440 Intel
7 CORE I9-9900K CPU @ 3.60GHZ 16 16,520 264,320 Intel
8 RYZEN 9 3900X 12-CORE 24 10,267 246,408 AMD
9 CORE I7-8700 CPU @ 3.20GHZ 12 19,646 235,752 Intel
10 XEON CPU E5-2680 V3 @ 2.50GHZ 24 8,767 210,408 Intel
11 CORE I7-9700 CPU @ 3.00GHZ 8 23,508 188,064 Intel
12 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,684 187,152 Intel
13 RYZEN 7 2700X EIGHT-CORE 16 8,565 137,040 AMD
14 RYZEN 5 3600 6-CORE 12 10,468 125,616 AMD
15 11TH GEN CORE I5-11400 @ 2.60GHZ 12 8,765 105,180 Intel
16 CORE I7-4790 CPU @ 3.60GHZ 8 9,698 77,584 Intel
17 XEON W-10855M CPU @ 2.80GHZ 12 6,307 75,684 Intel
18 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 7,705 61,640 Intel
19 CORE I7-4790T CPU @ 2.70GHZ 8 6,399 51,192 Intel