PROJECT #16952 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 17:43:24

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 17:43:25

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 31,498 503,968 AMD
2 RYZEN 9 5900X 12-CORE 24 20,098 482,352 AMD
3 RYZEN 9 5950X 16-CORE 32 14,346 459,072 AMD
4 CORE I9-9980XE CPU @ 3.00GHZ 36 11,928 429,408 Intel
5 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,111 389,328 AMD
6 RYZEN 9 3900X 12-CORE 24 11,940 286,560 AMD
7 RYZEN 5 3600X 6-CORE 12 16,381 196,572 AMD
8 RYZEN 5 3600 6-CORE 12 15,866 190,392 AMD
9 RYZEN 7 2700X EIGHT-CORE 16 11,573 185,168 AMD
10 XEON CPU E5-2690 V2 @ 3.00GHZ 20 9,218 184,360 Intel
11 RYZEN 7 4800H 16 10,127 162,032 AMD
12 RYZEN 5 3500 6-CORE 6 26,292 157,752 AMD
13 RYZEN 7 3800X 8-CORE 16 9,394 150,304 AMD
14 RYZEN 7 3700X 8-CORE 16 9,294 148,704 AMD
15 RYZEN 7 1700 EIGHT-CORE 16 7,474 119,584 AMD
16 RYZEN 5 2600 SIX-CORE 12 9,140 109,680 AMD
17 CORE I7-8705G CPU @ 3.10GHZ 8 10,598 84,784 Intel
18 CORE I7-2600K CPU @ 3.40GHZ 8 7,124 56,992 Intel
19 XEON CPU E3-1230 V2 @ 3.30GHZ 8 5,800 46,400 Intel
20 CORE I7-8565U CPU @ 1.80GHZ 8 5,331 42,648 Intel
 

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