PROJECT #16987 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 7 5800X 8-CORE 16 35,659 570,544 AMD
2 CORE I9-10900X CPU @ 3.70GHZ 20 14,184 283,680 Intel
3 RYZEN 9 3900X 12-CORE 24 11,101 266,424 AMD
4 CORE I7-8700 CPU @ 3.20GHZ 12 19,559 234,708 Intel
5 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,865 192,220 Intel
6 RYZEN 5 3600 6-CORE 12 12,148 145,776 AMD
7 CORE I5-10400 CPU @ 2.90GHZ 12 11,327 135,924 Intel
8 RYZEN 5 2600 SIX-CORE 12 6,922 83,064 AMD