PROJECT #14241 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: 57,431

Core: GRO_A7

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Monday, 25 January 2021 14:25:45

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 Monday, 25 January 2021 14:25:45

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 18,316 586,112 AMD
2 CORE I9-10980XE CPU @ 3.00GHZ 36 7,036 253,296 Intel
3 CORE I9-10900X CPU @ 3.70GHZ 20 11,151 223,020 Intel
4 RYZEN 7 3700X 8-CORE 16 11,030 176,480 AMD
5 RYZEN 7 3800X 8-CORE 16 8,164 130,624 AMD
 

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