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 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 35,425 1,133,600 AMD
2 RYZEN 7 5800X 8-CORE 16 35,925 574,800 AMD
3 RYZEN 9 5950X 16-CORE 32 12,416 397,312 AMD
4 CORE I9-10850K CPU @ 3.60GHZ 20 16,799 335,980 Intel
5 RYZEN 7 3800X 8-CORE 16 20,313 325,008 AMD
6 XEON CPU E5-2680 V3 @ 2.50GHZ 24 12,854 308,496 Intel
7 CORE I9-10900X CPU @ 3.70GHZ 20 14,822 296,440 Intel
8 CORE I7-8700 CPU @ 3.20GHZ 12 19,619 235,428 Intel
9 CORE I7-9700 CPU @ 3.00GHZ 8 23,508 188,064 Intel
10 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,707 187,796 Intel
11 11TH GEN CORE I5-11400 @ 2.60GHZ 12 8,765 105,180 Intel
12 RYZEN 5 3600 6-CORE 12 7,459 89,508 AMD
13 XEON W-10855M CPU @ 2.80GHZ 12 6,307 75,684 Intel
14 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 7,705 61,640 Intel
15 CORE I7-4790T CPU @ 2.70GHZ 8 6,399 51,192 Intel