PROJECT #16944 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 17:37:23

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 17:37:23

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 22,276 534,624 AMD
2 RYZEN 7 5800X 8-CORE 16 31,693 507,088 AMD
3 RYZEN 9 5950X 16-CORE 32 15,005 480,160 AMD
4 RYZEN 9 3950X 16-CORE 32 12,049 385,568 AMD
5 RYZEN 9 3900X 12-CORE 24 13,277 318,648 AMD
6 CORE I9-7920X CPU @ 2.90GHZ 24 9,975 239,400 Intel
7 RYZEN 5 3600 6-CORE 12 17,984 215,808 AMD
8 RYZEN 7 4800H 16 13,283 212,528 AMD
9 RYZEN 5 3600X 6-CORE 12 17,010 204,120 AMD
10 XEON CPU E5-2690 V2 @ 3.00GHZ 20 10,112 202,240 Intel
11 CORE I7-9700 CPU @ 3.00GHZ 8 23,966 191,728 Intel
12 RYZEN 7 3700X 8-CORE 16 11,735 187,760 AMD
13 CORE I7-9700K CPU @ 3.60GHZ 8 22,531 180,248 Intel
14 RYZEN 7 2700X EIGHT-CORE 16 10,714 171,424 AMD
15 CORE I5-9400F CPU @ 2.90GHZ 6 20,065 120,390 Intel
16 RYZEN 5 2600 SIX-CORE 12 9,066 108,792 AMD
17 CORE I7-6700K CPU @ 4.00GHZ 8 11,108 88,864 Intel
18 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 8,636 69,088 Intel
 

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