PROJECT #17225 RESEARCH FOR G-PROTEINS
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

G-proteins play central role in various signalling pathways involved in vision, taste, oflaction, muscle contraction and neurotransmission. G-proteins regulate these signalling pathways by switching between 'active' and 'inactive' states, dictated by the type nucleotide bound to their active site. When bound to gaunosine dinucleotide (GDP), G-proteins adopt inactive state. Dissociation of GDP and subsequent binding of gaunosine trinucleotide (GTP) activates G-proteins, which in turn activate downstream signalling pathways. GDP dissociation is the rate limiting step in activation of G-proteins and misregulation of this process can often lead to disease conditions. in this project, we are studying the mechanism of GDP dissociation process.

PROJECT INFO

Manager(s): Neha Vithani

Institution: Washington University in St. Louis

PROJECT WORK UNIT SUMMARY

Atoms: 116,317

Core: GRO_A7

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Saturday, 17 April 2021 19:49:54

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 19:49:54

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 EPYC 7302 16-CORE 64 13,622 871,808 AMD
2 RYZEN 7 5800X 8-CORE 16 18,549 296,784 AMD
3 RYZEN 9 5950X 16-CORE 32 7,421 237,472 AMD
4 CORE I3-9100F CPU @ 3.60GHZ 4 13,062 52,248 Intel
5 CORE I5-4460 CPU @ 3.20GHZ 4 1,400 5,600 Intel