PROJECT #16947 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 22:07:46

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 22:07:46

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 30,843 493,488 AMD
2 CORE I9-9980XE CPU @ 3.00GHZ 36 12,659 455,724 Intel
3 RYZEN 9 5900X 12-CORE 24 18,817 451,608 AMD
4 RYZEN 9 5950X 16-CORE 32 12,480 399,360 AMD
5 RYZEN 9 3950X 16-CORE 32 12,206 390,592 AMD
6 RYZEN THREADRIPPER 2970WX 24-CORE 48 7,674 368,352 AMD
7 RYZEN 9 3900X 12-CORE 24 13,242 317,808 AMD
8 CORE I7-9700K CPU @ 3.60GHZ 8 24,272 194,176 Intel
9 CORE I7-9700 CPU @ 3.00GHZ 8 23,775 190,200 Intel
10 RYZEN 7 3700X 8-CORE 16 11,807 188,912 AMD
11 RYZEN 5 3600 6-CORE 12 14,990 179,880 AMD
12 RYZEN THREADRIPPER 2950X 16-CORE 32 3,798 121,536 AMD
13 RYZEN 5 2600X SIX-CORE 12 9,253 111,036 AMD
14 RYZEN 5 2600 SIX-CORE 12 8,413 100,956 AMD
15 CORE I7-3770 CPU @ 3.40GHZ 8 6,108 48,864 Intel
16 XEON CPU E3-1230 V2 @ 3.30GHZ 8 5,979 47,832 Intel
17 FX-8320 EIGHT-CORE 8 2,080 16,640 AMD
 

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