Research section Research projects and references

Research: CANCER Folding Project #17783

Project #17783 overview

Project Summary AI Beta

Secondary active transporters are proteins that use ion gradients to move molecules across cell membranes. These transporters are found everywhere and are important for treating diseases like cancer and diabetes. The project looks at how these transporters work across different types of proteins.
Automated summary; simplified and may not be fully accurate.
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 17783

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

Data as of Sunday, 02 August 2026 21:55:56

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 8,036,938 232,550 34.56 0 hrs 42 mins
2 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,979,846 222,060 31.43 0 hrs 46 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,731,393 213,591 31.52 0 hrs 46 mins
4 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 4,806,687 194,715 24.69 0 hrs 58 mins
5 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,417,945 190,018 23.25 1 hrs 2 mins
6 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,810,757 180,766 21.08 1 hrs 8 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 2,650,836 155,035 17.10 1 hrs 24 mins
8 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,305,466 150,305 15.34 1 hrs 34 mins
9 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,819,361 141,467 12.86 1 hrs 52 mins
10 Radeon RX 6700/6700 XT / 6800M
Navi 22 [Radeon RX 6700/6700 XT / 6800M]
AMD Navi 22 1,710,750 135,931 12.59 1 hrs 54 mins
11 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,431,107 130,434 10.97 2 hrs 11 mins
12 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,168,259 122,365 9.55 2 hrs 31 mins
13 Radeon RX 5600 OEM/5600 XT/5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]
AMD Navi 10 1,141,399 121,203 9.42 2 hrs 33 mins
14 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 902,947 110,546 8.17 2 hrs 56 mins
15 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 899,125 107,183 8.39 2 hrs 52 mins
16 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 575,156 96,690 5.95 4 hrs 2 mins
17 Radeon VII
Vega 20 [Radeon VII] 13,284
AMD Vega 20 571,660 96,065 5.95 4 hrs 2 mins
18 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 565,507 96,206 5.88 4 hrs 5 mins
19 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 437,007 88,058 4.96 4 hrs 50 mins
20 P106-090
GP106 [P106-090]
Nvidia GP106 355,707 82,413 4.32 5 hrs 34 mins