PROJECT #16945 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 Wednesday, 27 January 2021 18:40:17

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 Wednesday, 27 January 2021 18:40:18

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 33,158 530,528 AMD
2 CORE I9-9980XE CPU @ 3.00GHZ 36 13,104 471,744 Intel
3 RYZEN 9 5950X 16-CORE 32 14,185 453,920 AMD
4 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,580 411,840 AMD
5 RYZEN 9 3950X 16-CORE 32 12,868 411,776 AMD
6 XEON PLATINUM 8124M CPU @ 3.00GHZ 36 9,636 346,896 Intel
7 RYZEN 9 3900X 12-CORE 24 13,066 313,584 AMD
8 RYZEN 5 3600X 6-CORE 12 17,613 211,356 AMD
9 RYZEN 5 3600 6-CORE 12 17,163 205,956 AMD
10 CORE I7-9700 CPU @ 3.00GHZ 8 25,525 204,200 Intel
11 RYZEN 7 3700X 8-CORE 16 12,515 200,240 AMD
12 RYZEN 5 PRO 4650G 12 15,039 180,468 AMD
13 CORE I7-9700K CPU @ 3.60GHZ 8 21,616 172,928 Intel
14 RYZEN 7 3800X 8-CORE 16 9,462 151,392 AMD
15 RYZEN 7 1700 EIGHT-CORE 16 7,988 127,808 AMD
16 RYZEN 5 2600X SIX-CORE 12 9,886 118,632 AMD
17 CORE I7-6700K CPU @ 4.00GHZ 8 13,912 111,296 Intel
18 RYZEN 5 2600 SIX-CORE 12 8,820 105,840 AMD
19 RYZEN 3 3100 4-CORE 8 12,996 103,968 AMD
20 XEON CPU E5-2620 V2 @ 2.10GHZ 24 4,034 96,816 Intel
 

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