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Research: CANCER Folding Project #17747

Project #17747 overview

Project Summary AI Beta

This project studies how proteins called secondary active transporters use ions to move molecules across cell membranes. These transporters are important for many things and are even drug targets for diseases like cancer and diabetes. By simulating these transporters, researchers hope to understand how they work across different types of proteins.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Matthew Chan
Institution
University of Illinois at Urbana-Champaign

Work unit

Atoms
77,576
Core
OPENMM_22
Status
Beta
Source material

Official Project Description

Projects 17745-17750 Molecular basis of secondary active transporters. Secondary active membrane transporters are proteins that utilize ions to transport an assortment of molecules across cell membranes.

These proteins are found in all domains in life and surprisingly, despite vastly different structures, operate under the same mechanism by using an ion gradient to assist in small molecule transport.

Furthermore, many of these secondary active transporters are drug targets to treat diseases like cancer, diabetes, and neurological disorders.

The simulations in this project will allow us to understand a universal role of ion-coupling across different families of proteins.

Performance data

Hardware Performance for Project 17747

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

Data as of Friday, 14 August 2026 15:30:49

GPU PPD Averages

Rank
Project 		Model Name
Folding@Home Identifier 		Make
Brand 		GPU
Model 		PPD
Average 		Points WU
Average 		WUs Day
Average 		WU Time
Average
1 GeForce RTX 3090
GA102 [GeForce RTX 3090]		 Nvidia GA102 6,744,886 77,176 87.40 0 hrs 16 mins
2 TITAN Xp
GP102 [TITAN Xp] 12150		 Nvidia GP102 2,764,912 57,666 47.95 0 hrs 30 mins
3 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]		 Nvidia GA104 1,936,915 51,561 37.57 0 hrs 38 mins
4 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463		 Nvidia GP104 1,810,619 70,711 25.61 0 hrs 56 mins
5 GeForce GTX 1660
TU116 [GeForce GTX 1660]		 Nvidia TU116 879,560 39,598 22.21 1 hrs 5 mins