Research section Research projects and references

Research: CANCER Folding Project #17792

Project #17792 overview

Project Summary AI Beta

The project relates to special proteins that move molecules across cell walls using energy from ion gradients. These transporters are important for many functions in living things and can be used as targets for treating diseases like cancer and diabetes. Simulations will help us understand how these proteins work.
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 17792

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

Data as of Sunday, 02 August 2026 21:55:46

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 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,081,214 184,271 38.43 0 hrs 37 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,845,244 181,156 37.79 0 hrs 38 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,042,119 174,346 34.66 0 hrs 42 mins
4 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,892,114 164,203 29.79 0 hrs 48 mins
5 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,166,910 155,599 26.78 0 hrs 54 mins
6 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 4,076,630 155,704 26.18 0 hrs 55 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,063,175 154,226 26.35 0 hrs 55 mins
8 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,260,113 143,384 22.74 1 hrs 3 mins
9 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,056,043 141,483 21.60 1 hrs 7 mins
10 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,931,901 138,946 21.10 1 hrs 8 mins
11 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,073,692 123,831 16.75 1 hrs 26 mins
12 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,779,733 117,413 15.16 1 hrs 35 mins
13 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 1,466,851 109,005 13.46 1 hrs 47 mins
14 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,134,451 100,760 11.26 2 hrs 8 mins
15 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 1,095,141 99,486 11.01 2 hrs 11 mins
16 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,067,813 98,871 10.80 2 hrs 13 mins
17 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 508,400 77,077 6.60 3 hrs 38 mins
18 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 501,485 77,118 6.50 3 hrs 41 mins
19 Radeon RX 6700/6700 XT / 6800M
Navi 22 [Radeon RX 6700/6700 XT / 6800M]
AMD Navi 22 449,128 74,630 6.02 3 hrs 59 mins
20 P106-090
GP106 [P106-090]
Nvidia GP106 317,635 66,320 4.79 5 hrs 1 mins
21 Radeon RX 6600/6600 XT/6600M
Navi 23 [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 288,351 64,010 4.50 5 hrs 20 mins
22 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 156,018 48,108 3.24 7 hrs 24 mins
23 GeForce GTX 680
GK104 [GeForce GTX 680] 3250
Nvidia GK104 94,117 43,933 2.14 11 hrs 12 mins