PROJECT #16989 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 Monday, 27 September 2021 17:59:05

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 Monday, 27 September 2021 17:59:05

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 35,411 1,133,152 AMD
2 RYZEN 7 5800X 8-CORE 16 40,606 649,696 AMD
3 RYZEN 9 5950X 16-CORE 32 12,784 409,088 AMD
4 CORE I9-10850K CPU @ 3.60GHZ 20 16,442 328,840 Intel
5 RYZEN 7 3800X 8-CORE 16 20,522 328,352 AMD
6 XEON CPU E5-2680 V3 @ 2.50GHZ 24 13,097 314,328 Intel
7 RYZEN 7 3700X 8-CORE 16 14,995 239,920 AMD
8 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,872 192,416 Intel
9 CORE I5-10400 CPU @ 2.90GHZ 12 13,207 158,484 Intel
10 RYZEN 5 3600 6-CORE 12 8,986 107,832 AMD
11 CORE I7-6700K CPU @ 4.00GHZ 8 11,437 91,496 Intel
12 CORE I3-10100 CPU @ 3.60GHZ 8 9,919 79,352 Intel
13 XEON W-10855M CPU @ 2.80GHZ 12 5,321 63,852 Intel
14 CORE I7-4790T CPU @ 2.70GHZ 8 7,493 59,944 Intel