RESEARCH: CANCER
FOLDING PROJECT #17775 PROFILE
PROJECT TEAM
Manager(s): Matthew ChanInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 117,096Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how proteins called secondary active transporters move molecules across cell membranes using ions. These transporters are important for many bodily functions and are targets for drugs to treat diseases like cancer and diabetes. By studying them, we can learn more about how different types of proteins work together.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL 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.
RELATED TERMS GLOSSARY AI BETA
Secondary active transporters
Proteins that use ion gradients to transport molecules across cell membranes.
Secondary active transporters are essential proteins found in all living organisms. They utilize an existing ion gradient to power the movement of various molecules across cell membranes. This mechanism is crucial for many cellular processes, including nutrient uptake and waste removal. These transporters are also important drug targets for treating diseases like cancer, diabetes, and neurological disorders.
Ion Gradient
Difference in ion concentration across a membrane.
An ion gradient is the difference in concentration of charged particles (ions) between two areas, often separated by a membrane. This concentration difference creates potential energy that can be harnessed to drive various cellular processes, such as the movement of molecules across membranes.
Membrane Transporters
Proteins that facilitate the movement of molecules across cell membranes.
Membrane transporters are essential proteins embedded in cell membranes that regulate the passage of molecules into and out of cells. They play a vital role in maintaining cellular homeostasis, nutrient uptake, waste removal, and signaling.
Drug Targets
Molecules or proteins that are therapeutic targets for drug development.
Drug targets are specific molecules or cellular processes that are implicated in the development or progression of diseases. By inhibiting or modulating these targets, drugs can effectively treat various medical conditions.
Simulations
Computer models used to mimic biological systems or processes.
Simulations are powerful tools used in computational biology to study complex biological systems. They involve creating computer models that mimic the behavior of molecules, cells, or entire organisms. Simulations can be used to explore various biological phenomena, predict drug interactions, and design new therapeutic strategies.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:35:36|
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 | 7,961,372 | 204,675 | 38.90 | 0 hrs 37 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,708,058 | 189,396 | 35.42 | 0 hrs 41 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,101,909 | 187,303 | 32.58 | 0 hrs 44 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,802,610 | 172,765 | 27.80 | 0 hrs 52 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,455,846 | 169,411 | 26.30 | 0 hrs 55 mins |
| 6 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,896,622 | 161,627 | 24.11 | 0 hrs 60 mins |
| 7 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,617,441 | 158,486 | 22.82 | 1 hrs 3 mins |
| 8 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,166,010 | 151,134 | 20.95 | 1 hrs 9 mins |
| 9 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,605,919 | 142,200 | 18.33 | 1 hrs 19 mins |
| 10 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,553,782 | 141,877 | 18.00 | 1 hrs 20 mins |
| 11 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,356,053 | 130,641 | 18.03 | 1 hrs 20 mins |
| 12 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,097,052 | 131,862 | 15.90 | 1 hrs 31 mins |
| 13 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,822,213 | 126,514 | 14.40 | 1 hrs 40 mins |
| 14 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,767,642 | 124,412 | 14.21 | 1 hrs 41 mins |
| 15 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,573,611 | 120,007 | 13.11 | 1 hrs 50 mins |
| 16 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,513,081 | 117,422 | 12.89 | 1 hrs 52 mins |
| 17 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,492,613 | 118,330 | 12.61 | 1 hrs 54 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,469,016 | 101,793 | 14.43 | 1 hrs 40 mins |
| 19 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,225,790 | 109,593 | 11.18 | 2 hrs 9 mins |
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| 20 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,167,827 | 106,443 | 10.97 | 2 hrs 11 mins |
| 21 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,111,819 | 106,374 | 10.45 | 2 hrs 18 mins |
| 22 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,080,769 | 102,095 | 10.59 | 2 hrs 16 mins |
| 23 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,049,686 | 104,444 | 10.05 | 2 hrs 23 mins |
| 24 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 855,005 | 98,123 | 8.71 | 2 hrs 45 mins |
| 25 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 854,877 | 98,545 | 8.67 | 2 hrs 46 mins |
| 26 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 558,926 | 85,253 | 6.56 | 3 hrs 40 mins |
| 27 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 551,347 | 84,505 | 6.52 | 3 hrs 41 mins |
| 28 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 550,227 | 85,383 | 6.44 | 3 hrs 43 mins |
| 29 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 501,136 | 82,277 | 6.09 | 3 hrs 56 mins |
| 30 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 477,589 | 80,545 | 5.93 | 4 hrs 3 mins |
| 31 | Radeon RX 6700/6700 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT / 6800M] |
AMD | Navi 22 | 459,333 | 79,525 | 5.78 | 4 hrs 9 mins |
| 32 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 365,118 | 73,783 | 4.95 | 4 hrs 51 mins |
| 33 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 350,270 | 32,837 | 10.67 | 2 hrs 15 mins |
| 34 | Radeon RX 6600/6600 XT/6600M Navi 23 [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 | 298,312 | 69,021 | 4.32 | 5 hrs 33 mins |
| 35 | Radeon Pro WX 5100 Ellesmere Pro [Radeon Pro WX 5100] 122 |
AMD | Ellesmere Pro | 141,860 | 53,854 | 2.63 | 9 hrs 7 mins |
| 36 | Radeon RX 6400 / 6500 XT Navi 24 [Radeon RX 6400 / 6500 XT] |
AMD | Navi 24 | 137,541 | 53,656 | 2.56 | 9 hrs 22 mins |
| 37 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 97,669 | 47,767 | 2.04 | 11 hrs 44 mins |
| 38 | Radeon HD 7800 Series Pitcairn PRO [Radeon HD 7800 Series] |
AMD | Pitcairn PRO | 93,110 | 47,094 | 1.98 | 12 hrs 8 mins |
| 39 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 14,402 | 27,378 | 0.53 | 45 hrs 37 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:35:36|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|