PROJECT #16949 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 22:21:30

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 Monday, 18 January 2021 22:21:30

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 13,635 436,320 AMD
2 RYZEN 9 5900X 12-CORE 24 17,017 408,408 AMD
3 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,414 403,872 AMD
4 RYZEN 9 3950X 16-CORE 32 11,699 374,368 AMD
5 RYZEN 9 3900X 12-CORE 24 12,363 296,712 AMD
6 CORE I9-7920X CPU @ 2.90GHZ 24 9,529 228,696 Intel
7 RYZEN 5 3600X 6-CORE 12 16,977 203,724 AMD
8 RYZEN 7 3700X 8-CORE 16 12,310 196,960 AMD
9 RYZEN 5 3600 6-CORE 12 15,532 186,384 AMD
10 RYZEN 7 2700X EIGHT-CORE 16 8,836 141,376 AMD
11 CORE I5-9400F CPU @ 2.90GHZ 6 20,869 125,214 Intel
12 RYZEN 5 2600 SIX-CORE 12 8,542 102,504 AMD
13 RYZEN THREADRIPPER 1920X 12-CORE 24 3,755 90,120 AMD
 

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