PROJECT #16990 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 33,704 1,078,528 AMD
2 RYZEN 7 5800X 8-CORE 16 33,921 542,736 AMD
3 RYZEN 9 5950X 16-CORE 32 13,566 434,112 AMD
4 XEON CPU E5-2680 V3 @ 2.50GHZ 24 12,994 311,856 Intel
5 CORE I9-10900X CPU @ 3.70GHZ 20 14,345 286,900 Intel
6 RYZEN 7 3700X 8-CORE 16 12,265 196,240 AMD
7 RYZEN 7 2700X EIGHT-CORE 16 10,587 169,392 AMD
8 CORE I5-10400 CPU @ 2.90GHZ 12 12,702 152,424 Intel
9 RYZEN 5 3600 6-CORE 12 12,179 146,148 AMD
10 CORE I7-6700K CPU @ 4.00GHZ 8 10,952 87,616 Intel
11 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,602 60,816 Intel
12 CORE I3-10100 CPU @ 3.60GHZ 8 6,930 55,440 Intel
13 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 5,288 42,304 Intel
14 CORE I7-7700HQ CPU @ 2.80GHZ 8 3,828 30,624 Intel