PROJECT #16992 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 Tuesday, 28 September 2021 06:02:47

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 Tuesday, 28 September 2021 06:02:47

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 3950X 16-CORE 32 33,011 1,056,352 AMD
2 RYZEN 7 5800X 8-CORE 16 31,203 499,248 AMD
3 RYZEN 9 5950X 16-CORE 32 13,481 431,392 AMD
4 RYZEN 7 3800X 8-CORE 16 21,078 337,248 AMD
5 CORE I9-10850K CPU @ 3.60GHZ 20 16,788 335,760 Intel
6 XEON CPU E5-2680 V3 @ 2.50GHZ 24 13,016 312,384 Intel
7 RYZEN THREADRIPPER 3960X 24-CORE 48 3,921 188,208 AMD
8 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,657 186,396 Intel
9 RYZEN 5 3600 6-CORE 12 14,136 169,632 AMD
10 RYZEN 5 5600X 6-CORE 12 12,546 150,552 AMD
11 CORE I5-9600K CPU @ 3.70GHZ 6 24,877 149,262 Intel
12 11TH GEN CORE I5-11400 @ 2.60GHZ 12 8,879 106,548 Intel
13 CORE I7-6700K CPU @ 4.00GHZ 8 12,289 98,312 Intel
14 CORE I9-8950HK CPU @ 2.90GHZ 12 7,688 92,256 Intel
15 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 9,548 76,384 Intel
16 RYZEN 5 2600 SIX-CORE 12 4,947 59,364 AMD