Research section Research projects and references

Research: CANCER Folding Project #16449

Project #16449 overview

Project Summary AI Beta

This project looks at how blocking G proteins could treat eye cancer and other diseases. G proteins control many body functions, but when they mutate, they can cause problems like cancer. This project studies a unique G protein from plants that works differently than human ones, helping us understand how G proteins evolved and how diseases might be caused by them.
Automated summary; simplified and may not be fully accurate.

Project team

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

Work unit

Atoms
66,723
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, GPA1, found in Arabidopsis thaliana.

GPA1 is distinct from the other G proteins in our body, in that it is "switch-like" behavior is not regulated by membrane receptors (GPCRs).

While other projects are simulating human G proteins to understand their similarities and differences, studying GPA1 provides an "extreme" example of a G protein most dissimilar from the rest.

Understanding GPA1 relative to other G proteins has implications in knowing G protein evolution and G protein disease pathology.

Performance data

Hardware Performance for Project 16449

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

Data as of Friday, 14 August 2026 15:37:36

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 9 3950X 16-CORE 32 12,224 391,168 AMD