PROJECT #16967 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 19:15:48

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 19:15:48

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 26,143 836,576 AMD
2 RYZEN 9 5950X 16-CORE 32 19,705 630,560 AMD
3 RYZEN THREADRIPPER 2970WX 24-CORE 48 7,259 348,432 AMD
4 RYZEN 9 3900XT 12-CORE 24 14,264 342,336 AMD
5 RYZEN 9 3900 12-CORE 24 12,311 295,464 AMD
6 RYZEN 7 3700X 8-CORE 16 18,013 288,208 AMD
7 XEON CPU E5-2680 V3 @ 2.50GHZ 24 11,711 281,064 Intel
8 RYZEN 7 3800X 8-CORE 16 11,621 185,936 AMD
9 CORE I7-6700K CPU @ 4.00GHZ 8 9,430 75,440 Intel
10 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 8,693 69,544 Intel
11 CORE I7-3610QM CPU @ 2.30GHZ 8 3,176 25,408 Intel