Research section Research projects and references

Research: MEMBRANE TRANSPORT Folding Project #17946

Project #17946 overview

Project Summary AI Beta

Secondary active transporters are proteins that use ion gradients to move molecules across cell membranes. They're found everywhere in life and work similarly despite different structures. This project uses simulations to understand how these transporters, important for treating diseases like cancer and diabetes, operate universally.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Arnav Paul
Institution
University of Illinois

Work unit

Atoms
109,766
Core
0x23
Status
Public
Source material

Official Project Description

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 17946

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

Data as of Sunday, 02 August 2026 21:54:46

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 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 17,180,836 112,511 152.70 0 hrs 9 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 15,233,829 59,228 257.21 0 hrs 6 mins
3 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 15,129,607 8,121 1863.02 0 hrs 1 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 9,124,109 95,569 95.47 0 hrs 15 mins
5 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 8,109,094 8,121 998.53 0 hrs 1 mins
6 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,074,301 85,108 83.12 0 hrs 17 mins
7 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,782,518 8,121 712.05 0 hrs 2 mins
8 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,861,667 69,457 55.60 0 hrs 26 mins
9 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,945,984 65,852 44.74 0 hrs 32 mins
10 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,836,836 8,121 349.32 0 hrs 4 mins
11 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,565,634 61,182 41.93 0 hrs 34 mins
12 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,272,701 59,442 38.23 0 hrs 38 mins
13 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,935,267 56,957 33.98 0 hrs 42 mins
14 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,517,442 52,378 28.97 0 hrs 50 mins
15 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,497,775 52,475 28.54 0 hrs 50 mins
16 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 670,496 8,121 82.56 0 hrs 17 mins
17 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 529,672 8,121 65.22 0 hrs 22 mins
18 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 258,610 29,309 8.82 2 hrs 43 mins