Research section Research projects and references

Research: CANCER Folding Project #17745

Project #17745 overview

Project Summary AI Beta

This project looks at how proteins move stuff across cell walls using electricity. These proteins are found everywhere and help move important molecules. Understanding them could lead to new treatments for diseases like cancer and diabetes.
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
85,312
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 17745

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

Data as of Friday, 14 August 2026 15:30:51

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 6,859,029 87,686 78.22 0 hrs 18 mins
2 TITAN Xp
GP102 [TITAN Xp] 12150
Nvidia GP102 2,714,233 64,408 42.14 0 hrs 34 mins
3 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 1,904,685 57,317 33.23 0 hrs 43 mins
4 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 875,704 44,379 19.73 1 hrs 13 mins
5 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 38,546 15,655 2.46 9 hrs 45 mins