PROJECT #16950 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 20:52:23

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 20:52:24

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 7 5800X 8-CORE 16 30,866 493,856 AMD
2 RYZEN 9 5950X 16-CORE 32 14,277 456,864 AMD
3 CORE I9-9980XE CPU @ 3.00GHZ 36 12,500 450,000 Intel
4 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,190 393,120 AMD
5 CORE I9-7920X CPU @ 2.90GHZ 24 12,084 290,016 Intel
6 RYZEN 9 3900X 12-CORE 24 11,539 276,936 AMD
7 RYZEN 5 3600 6-CORE 12 17,513 210,156 AMD
8 RYZEN 5 3600X 6-CORE 12 17,227 206,724 AMD
9 RYZEN THREADRIPPER 2950X 16-CORE 32 6,334 202,688 AMD
10 RYZEN 7 3700X 8-CORE 16 12,415 198,640 AMD
11 RYZEN 5 3500 6-CORE 6 28,108 168,648 AMD
12 RYZEN 5 3500U 8 12,018 96,144 AMD
13 XEON CPU E5-2620 V2 @ 2.10GHZ 24 3,968 95,232 Intel
14 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 9,639 77,112 Intel
15 RYZEN 5 2600 SIX-CORE 12 5,528 66,336 AMD
 

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