Research section Research projects and references

Research: CANCER Folding Project #16450

Project #16450 overview

Project Summary AI Beta

This project studies how G proteins work, especially when they're active and causing problems like uveal melanoma (eye cancer). By simulating an active form of a G protein called Gq, scientists hope to learn why some treatments don't work against the active form and find new ways to stop these diseases.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Sukrit Singh
Institution
Washington University in St. Louis

Work unit

Atoms
66,619
Core
GRO_A7
Status
Public

No related projects listed.

Source material

Official Project Description

This project seeks to understand G protein inhibition in the treatment of uveal melanoma and other G protein related diseases.

G proteins are molecular switches regulate biological functions like sight, smell, and memory.

This pivotal role makes G proteins essential players in physiology and pathophysiology.

However, when G proteins mutate, they result in a variety of diseases from cancer to heart disease.

For example, a single mutation in the Gq protein is known to cause uveal melanoma, a cancer in the iris of our eyes that remains largely untreatable short of removing the eye. This project is simulating one of the G protein family isoforms, Gq, but in the ACTIVE form, bound to GTP.

Other projects are simulating Gq, and other G proteins, in their "inactive" form, bound to GDP.

The presence of the third phosphate in GTP is sufficient to convert G proteins into their active form.

However, the ensemble of structures they adopt are not completely parsed out.

By simulating the active form of Gq and comparing to other structures, we hope to provide a better understanding of G protein function.

Furthermore, existing inhibitors of G proteins do not inhibit the GTP bound form, only the GDP-version, and understanding the "active ensemble" might provide a clearer picture as to why.

Performance data

Hardware Performance for Project 16450

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Friday, 14 August 2026 15:37:35

CPU PPD Averages Beta

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN THREADRIPPER 3960X 24-CORE 48 16,249 779,952 AMD
2 RYZEN 9 3950X 16-CORE 32 17,557 561,824 AMD
3 RYZEN 9 3900XT 12-CORE 24 17,044 409,056 AMD
4 CORE I9-10980XE CPU @ 3.00GHZ 36 7,968 286,848 Intel
5 RYZEN 5 2600X SIX-CORE 12 6,928 83,136 AMD
6 CORE I9-9880H CPU @ 2.30GHZ 16 3,743 59,888 Intel
7 CORE I5-2500K CPU @ 3.30GHZ 4 5,515 22,060 Intel