PROJECT #16954 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 21:11:36

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 Monday, 18 January 2021 21:11:37

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 20,562 493,488 AMD
2 RYZEN 7 5800X 8-CORE 16 29,889 478,224 AMD
3 RYZEN 9 5950X 16-CORE 32 14,293 457,376 AMD
4 CORE I9-9980XE CPU @ 3.00GHZ 36 10,198 367,128 Intel
5 RYZEN 9 3950X 16-CORE 32 11,207 358,624 AMD
6 CORE I9-7920X CPU @ 2.90GHZ 24 13,719 329,256 Intel
7 RYZEN 9 3900X 12-CORE 24 13,059 313,416 AMD
8 XEON CPU E5-2690 V2 @ 3.00GHZ 20 9,475 189,500 Intel
9 CORE I7-9700 CPU @ 3.00GHZ 8 22,322 178,576 Intel
10 RYZEN 7 3700X 8-CORE 16 10,853 173,648 AMD
11 RYZEN 5 3600 6-CORE 12 14,303 171,636 AMD
12 RYZEN 7 2700X EIGHT-CORE 16 10,401 166,416 AMD
13 RYZEN 5 2600 SIX-CORE 12 9,208 110,496 AMD
14 FX-8350 EIGHT-CORE 8 3,461 27,688 AMD
 

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