PROJECT #16966 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 Saturday, 17 April 2021 19:51:58

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 Saturday, 17 April 2021 19:51:58

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 25,630 820,160 AMD
2 RYZEN 9 5950X 16-CORE 32 17,712 566,784 AMD
3 RYZEN 9 3900 12-CORE 24 11,795 283,080 AMD
4 RYZEN 5 5600X 6-CORE 12 16,350 196,200 AMD
5 RYZEN 5 3600 6-CORE 12 12,601 151,212 AMD
6 CORE I5-10400F CPU @ 2.90GHZ 12 10,085 121,020 Intel