PROJECT #16965 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 19:13:30

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 19:13:30

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 32,034 1,025,088 AMD
2 RYZEN 9 5950X 16-CORE 32 15,062 481,984 AMD
3 CORE I9-10900KF CPU @ 3.70GHZ 20 15,681 313,620 Intel
4 XEON CPU E5-2667 V2 @ 3.30GHZ 32 8,364 267,648 Intel
5 RYZEN 5 3600 6-CORE 12 15,993 191,916 AMD
6 RYZEN 7 2700X EIGHT-CORE 16 8,748 139,968 AMD
7 CORE I5-10400F CPU @ 2.90GHZ 12 10,967 131,604 Intel
8 CORE I5-8300H CPU @ 2.30GHZ 8 5,738 45,904 Intel
9 CORE I7-3610QM CPU @ 2.30GHZ 8 2,879 23,032 Intel
10 FX-8320 EIGHT-CORE 8 1,559 12,472 AMD