RESEARCH: CANCER
FOLDING PROJECT #17726 PROFILE
PROJECT TEAM
Manager(s): Matthew ChanInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 84,262Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies how proteins use ions to move molecules across cell membranes. These transporters are important for many biological processes and are targets for drugs treating diseases like cancer and diabetes. Studying them will help us understand how these proteins work in different organisms.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Projects 17711-17724 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 disease like cancer, diabetes, and neurological disorders.
These simulations will allow us to understand a universal role of ion-coupling across different families of proteins.
RELATED TERMS GLOSSARY AI BETA
secondary active transporter
A type of membrane protein that uses ion gradients to move molecules across cell membranes.
Secondary active transporters are essential proteins found in all living organisms. They work by using the energy stored in an ion gradient to transport other molecules across cell membranes. This process is crucial for many cellular functions, including nutrient uptake, waste removal, and signal transduction. Many secondary active transporters are also targets for drugs used to treat diseases such as cancer, diabetes, and neurological disorders.
ion gradient
A difference in concentration of ions across a cell membrane.
An ion gradient is a crucial phenomenon that drives many cellular processes. It refers to the unequal distribution of charged atoms (ions) across a cell membrane. This difference in concentration creates an electrochemical potential that cells can harness to power various functions, including transporting molecules and generating electrical signals. Secondary active transporters rely on ion gradients to function.
membrane transport
The movement of molecules across cell membranes.
Membrane transport is essential for cells to maintain their internal environment and interact with their surroundings. It involves the movement of various substances, such as nutrients, ions, and waste products, across the cell membrane. There are two main types of membrane transport: passive transport, which does not require energy, and active transport, which requires energy to move molecules against their concentration gradient. Secondary active transporters utilize a form of active transport.
protein
A large biomolecule composed of amino acids.
Proteins are the workhorses of cells, performing a vast array of functions. They are essential for virtually all biological processes, including catalyzing reactions, transporting molecules, providing structural support, and regulating cellular processes. Proteins are made up of chains of amino acids, which fold into specific three-dimensional structures that determine their function.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:36:34|
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 | 7,041,807 | 123,401 | 57.06 | 0 hrs 25 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,309,577 | 112,226 | 47.31 | 0 hrs 30 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,039,322 | 112,752 | 44.69 | 0 hrs 32 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,308,895 | 107,034 | 40.26 | 0 hrs 36 mins |
| 5 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 4,262,688 | 106,104 | 40.17 | 0 hrs 36 mins |
| 6 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,202,667 | 97,115 | 32.98 | 0 hrs 44 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,132,420 | 96,029 | 32.62 | 0 hrs 44 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,101,627 | 95,658 | 32.42 | 0 hrs 44 mins |
| 9 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 3,097,206 | 96,178 | 32.20 | 0 hrs 45 mins |
| 10 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,872,546 | 93,414 | 30.75 | 0 hrs 47 mins |
| 11 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,634,423 | 90,929 | 28.97 | 0 hrs 50 mins |
| 12 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,456,785 | 88,750 | 27.68 | 0 hrs 52 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,260,659 | 84,768 | 26.67 | 0 hrs 54 mins |
| 14 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,070,870 | 84,124 | 24.62 | 0 hrs 58 mins |
| 15 | GeForce RTX 2080 SUPER Mobile / Max-Q TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 2,069,713 | 83,842 | 24.69 | 0 hrs 58 mins |
| 16 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,729,905 | 79,000 | 21.90 | 1 hrs 6 mins |
| 17 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,708,047 | 78,712 | 21.70 | 1 hrs 6 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,696,681 | 77,445 | 21.91 | 1 hrs 6 mins |
| 19 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,671,945 | 78,034 | 21.43 | 1 hrs 7 mins |
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|||||||
| 20 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,391,184 | 74,067 | 18.78 | 1 hrs 17 mins |
| 21 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,280,460 | 71,508 | 17.91 | 1 hrs 20 mins |
| 22 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,140,969 | 69,425 | 16.43 | 1 hrs 28 mins |
| 23 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,118,677 | 68,698 | 16.28 | 1 hrs 28 mins |
| 24 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] 4608 |
Nvidia | TU106M | 1,098,258 | 64,856 | 16.93 | 1 hrs 25 mins |
| 25 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,095,448 | 68,189 | 16.06 | 1 hrs 30 mins |
| 26 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 927,995 | 64,444 | 14.40 | 1 hrs 40 mins |
| 27 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 752,225 | 60,248 | 12.49 | 1 hrs 55 mins |
| 28 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 697,902 | 58,732 | 11.88 | 2 hrs 1 mins |
| 29 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 567,236 | 52,349 | 10.84 | 2 hrs 13 mins |
| 30 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 562,266 | 54,484 | 10.32 | 2 hrs 20 mins |
| 31 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 542,984 | 44,280 | 12.26 | 1 hrs 57 mins |
| 32 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 487,600 | 51,073 | 9.55 | 2 hrs 31 mins |
| 33 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 478,987 | 51,437 | 9.31 | 2 hrs 35 mins |
| 34 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 476,465 | 51,679 | 9.22 | 2 hrs 36 mins |
| 35 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 441,947 | 47,682 | 9.27 | 2 hrs 35 mins |
| 36 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 342,787 | 46,351 | 7.40 | 3 hrs 15 mins |
| 37 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 339,931 | 44,199 | 7.69 | 3 hrs 7 mins |
| 38 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 279,987 | 43,539 | 6.43 | 3 hrs 44 mins |
| 39 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 270,522 | 39,192 | 6.90 | 3 hrs 29 mins |
|
|
|||||||
| 40 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 243,572 | 41,337 | 5.89 | 4 hrs 4 mins |
| 41 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 213,689 | 39,663 | 5.39 | 4 hrs 27 mins |
| 42 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 203,702 | 39,040 | 5.22 | 4 hrs 36 mins |
| 43 | GeForce GTX 1650 Ti Mobile TU116M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU116M | 190,716 | 35,864 | 5.32 | 4 hrs 31 mins |
| 44 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 156,917 | 35,461 | 4.43 | 5 hrs 25 mins |
| 45 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 122,874 | 32,443 | 3.79 | 6 hrs 20 mins |
| 46 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 119,915 | 32,716 | 3.67 | 6 hrs 33 mins |
| 47 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 111,144 | 31,884 | 3.49 | 6 hrs 53 mins |
| 48 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 106,694 | 30,555 | 3.49 | 6 hrs 52 mins |
| 49 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 89,832 | 29,711 | 3.02 | 7 hrs 56 mins |
| 50 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 74,429 | 27,940 | 2.66 | 9 hrs 1 mins |
| 51 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 70,499 | 20,725 | 3.40 | 7 hrs 3 mins |
| 52 | Radeon R7/R6 360 Series Bonaire [Radeon R7/R6 360 Series] |
AMD | Bonaire | 52,330 | 24,893 | 2.10 | 11 hrs 25 mins |
| 53 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 42,357 | 23,728 | 1.79 | 13 hrs 27 mins |
| 54 | Radeon R7 250/HD 7700 R575A [Radeon R7 250/HD 7700] |
AMD | R575A | 15,150 | 11,468 | 1.32 | 18 hrs 10 mins |
| 55 | GeForce GTX 670M GF114 [GeForce GTX 670M] |
Nvidia | GF114 | 12,366 | 14,374 | 0.86 | 27 hrs 54 mins |
| 56 | Ryzen vega 8 mobile Raven [Ryzen vega 8 mobile] |
AMD | Raven | 6,968 | 11,468 | 0.61 | 39 hrs 30 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:36:34|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|