PROJECT #16948 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 21:18:05

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 21:18:06

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 13,788 441,216 AMD
2 RYZEN 9 5900X 12-CORE 24 17,805 427,320 AMD
3 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,073 387,504 AMD
4 RYZEN 9 3900X 12-CORE 24 12,637 303,288 AMD
5 RYZEN 9 3950X 16-CORE 32 8,569 274,208 AMD
6 RYZEN 7 3700X 8-CORE 16 13,058 208,928 AMD
7 RYZEN THREADRIPPER 1920X 12-CORE 24 8,489 203,736 AMD
8 CORE I7-9700 CPU @ 3.00GHZ 8 24,588 196,704 Intel
9 RYZEN 7 2700X EIGHT-CORE 16 11,118 177,888 AMD
10 RYZEN 5 3600 6-CORE 12 12,735 152,820 AMD
11 RYZEN 7 3800X 8-CORE 16 9,071 145,136 AMD
12 RYZEN 7 1700 EIGHT-CORE 16 7,805 124,880 AMD
13 RYZEN 5 2600X SIX-CORE 12 9,195 110,340 AMD
14 XEON CPU E5-2620 V2 @ 2.10GHZ 24 4,242 101,808 Intel
15 RYZEN 5 2600 SIX-CORE 12 8,110 97,320 AMD
16 CORE I7-8705G CPU @ 3.10GHZ 8 10,442 83,536 Intel
17 RYZEN 7 2700 EIGHT-CORE 16 4,452 71,232 AMD
 

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