PROJECT #16968 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 Thursday, 15 April 2021 20:46:36

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 Thursday, 15 April 2021 20:46:36

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 5900X 12-CORE 24 21,140 507,360 AMD
2 RYZEN 9 5950X 16-CORE 32 13,270 424,640 AMD
3 RYZEN 7 5800X 8-CORE 16 21,511 344,176 AMD
4 RYZEN 5 3600 6-CORE 12 12,466 149,592 AMD
5 XEON W-10855M CPU @ 2.80GHZ 12 5,552 66,624 Intel
6 CORE I5-8300H CPU @ 2.30GHZ 8 7,011 56,088 Intel
7 PHENOM II X6 1090T 6 4,523 27,138 AMD
8 CORE I7-3610QM CPU @ 2.30GHZ 8 3,135 25,080 Intel