PROJECT #16951 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, 18 January 2021 21:47:13

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, 18 January 2021 21:47:13

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 5950X 16-CORE 32 13,824 442,368 AMD
2 RYZEN 9 3950X 16-CORE 32 11,982 383,424 AMD
3 RYZEN 9 5900X 12-CORE 24 13,180 316,320 AMD
4 CORE I7-9700 CPU @ 3.00GHZ 8 23,648 189,184 Intel
5 RYZEN THREADRIPPER 1920X 12-CORE 24 7,845 188,280 AMD
6 RYZEN 7 2700X EIGHT-CORE 16 11,588 185,408 AMD
7 RYZEN 7 3700X 8-CORE 16 11,084 177,344 AMD
8 RYZEN 5 3500 6-CORE 6 26,230 157,380 AMD
9 RYZEN 7 4800H 16 9,809 156,944 AMD
10 RYZEN 5 3600 6-CORE 12 11,795 141,540 AMD
11 CORE I5-9400F CPU @ 2.90GHZ 6 20,674 124,044 Intel
12 CORE I7-6700K CPU @ 4.00GHZ 8 10,125 81,000 Intel
13 CORE I7-6700 CPU @ 3.40GHZ 8 6,571 52,568 Intel
 

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