PROJECT #16953 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 Sunday, 17 January 2021 01:55:15

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 Sunday, 17 January 2021 01:55:16

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 15,013 480,416 AMD
2 RYZEN 9 5900X 12-CORE 24 16,742 401,808 AMD
3 RYZEN 9 3950X 16-CORE 32 11,876 380,032 AMD
4 CORE I9-7920X CPU @ 2.90GHZ 24 13,798 331,152 Intel
5 RYZEN 9 3900X 12-CORE 24 12,935 310,440 AMD
6 XEON CPU E5-2690 V2 @ 3.00GHZ 20 9,751 195,020 Intel
7 RYZEN 7 2700X EIGHT-CORE 16 12,011 192,176 AMD
8 RYZEN 7 3700X 8-CORE 16 11,595 185,520 AMD
9 RYZEN 5 3600 6-CORE 12 13,702 164,424 AMD
10 RYZEN THREADRIPPER 2950X 16-CORE 32 3,845 123,040 AMD
11 XEON CPU E3-1230 V2 @ 3.30GHZ 8 5,886 47,088 Intel
 

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