PROJECT #16963 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 Thursday, 15 April 2021 21:08:02

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 Thursday, 15 April 2021 21:08:02

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 28,295 905,440 AMD
2 RYZEN 9 5950X 16-CORE 32 17,428 557,696 AMD
3 RYZEN 9 3900XT 12-CORE 24 15,799 379,176 AMD
4 RYZEN 9 3900 12-CORE 24 13,881 333,144 AMD
5 EPYC 7302P 16-CORE 32 8,502 272,064 AMD
6 XEON CPU E5-2667 V2 @ 3.30GHZ 32 8,384 268,288 Intel
7 CORE I9-10900X CPU @ 3.70GHZ 20 10,667 213,340 Intel
8 RYZEN 7 3800X 8-CORE 16 12,729 203,664 AMD
9 RYZEN 5 3600 6-CORE 12 13,007 156,084 AMD
10 RYZEN 7 2700X EIGHT-CORE 16 9,160 146,560 AMD
11 RYZEN 5 2600 SIX-CORE 12 8,328 99,936 AMD
12 CORE I7-6700K CPU @ 4.00GHZ 8 10,163 81,304 Intel
13 RYZEN 5 2600X SIX-CORE 12 6,202 74,424 AMD
14 CORE I7-8705G CPU @ 3.10GHZ 8 5,000 40,000 Intel
15 CORE I7-3610QM CPU @ 2.30GHZ 8 3,000 24,000 Intel