RESEARCH: CANCER
FOLDING PROJECT #17731 PROFILE
PROJECT TEAM
Manager(s): Matthew ChanInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 81,327Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to studying how proteins use ions to move molecules across cell membranes. These proteins are important for many bodily functions and are also targets for drugs treating diseases like cancer and diabetes. By studying them, we can learn more about 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 transporters
Proteins that use ion gradients to transport molecules across cell membranes.
Secondary active transporters are crucial proteins found in all living organisms. They work by utilizing the energy stored in an ion gradient to move various molecules across cell membranes. This process is essential for numerous cellular functions, including nutrient uptake, waste removal, and signal transduction. Many secondary active transporters serve as drug targets for treating diseases like cancer, diabetes, and neurological disorders.
Ion gradient
A difference in ion concentration across a cell membrane.
An ion gradient refers to the uneven distribution of charged ions (like sodium or potassium) across a cell membrane. This separation creates an electrochemical potential that drives various cellular processes, including nerve impulse transmission and nutrient uptake. Maintaining these gradients is crucial for cell function.
Drug targets
Proteins or molecules that are involved in disease pathways and can be inhibited by drugs.
Drug targets are specific biological molecules (like enzymes or receptors) implicated in the development or progression of diseases. By targeting these molecules with drugs, researchers aim to disrupt the disease pathway and alleviate symptoms. Identifying effective drug targets is a crucial step in developing new therapies.
Simulations
Computer-based models used to mimic real-world processes.
Simulations are powerful tools used in various scientific fields to understand complex systems. In computational biology, simulations are employed to model molecular interactions, protein folding, and cellular processes. These virtual experiments can provide valuable insights that are difficult or impossible to obtain through traditional laboratory methods.
Cancer
A group of diseases characterized by uncontrolled cell growth.
Cancer is a broad term encompassing various diseases that arise from the abnormal growth and spread of cells. This uncontrolled cell proliferation can damage surrounding tissues and organs, leading to a wide range of symptoms and complications. Cancer treatment often involves surgery, chemotherapy, radiation therapy, or a combination of these approaches.
Diabetes
A group of metabolic disorders characterized by high blood sugar levels.
Diabetes is a chronic condition that affects the body's ability to regulate blood sugar levels. This occurs when the pancreas doesn't produce enough insulin (Type 1 diabetes) or the body becomes resistant to insulin (Type 2 diabetes). High blood sugar can damage various organs, including the eyes, kidneys, and nerves.
Neurological disorders
A broad category of diseases affecting the nervous system.
Neurological disorders encompass a wide range of conditions that impact the brain, spinal cord, and nerves. These disorders can manifest in various symptoms, such as seizures, paralysis, memory loss, or cognitive decline. Some common neurological disorders include Alzheimer's disease, Parkinson's disease, and multiple sclerosis.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:36:27|
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 | 6,969,715 | 116,316 | 59.92 | 0 hrs 24 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,691,135 | 110,079 | 51.70 | 0 hrs 28 mins |
| 3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,091,989 | 106,083 | 48.00 | 0 hrs 30 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,943,264 | 105,101 | 47.03 | 0 hrs 31 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,070,288 | 99,925 | 40.73 | 0 hrs 35 mins |
| 6 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 3,857,566 | 98,225 | 39.27 | 0 hrs 37 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,131,599 | 90,357 | 34.66 | 0 hrs 42 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,130,516 | 90,218 | 34.70 | 0 hrs 41 mins |
| 9 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 3,032,586 | 89,415 | 33.92 | 0 hrs 42 mins |
| 10 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,917,388 | 87,534 | 33.33 | 0 hrs 43 mins |
| 11 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,747,148 | 85,228 | 32.23 | 0 hrs 45 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,558,751 | 84,268 | 30.36 | 0 hrs 47 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,425,651 | 83,057 | 29.20 | 0 hrs 49 mins |
| 14 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,328,393 | 82,111 | 28.36 | 0 hrs 51 mins |
| 15 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,273,940 | 81,588 | 27.87 | 0 hrs 52 mins |
| 16 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 2,243,327 | 80,490 | 27.87 | 0 hrs 52 mins |
| 17 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,081,301 | 79,068 | 26.32 | 0 hrs 55 mins |
| 18 | GeForce RTX 2080 SUPER Mobile / Max-Q TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 2,080,909 | 79,479 | 26.18 | 0 hrs 55 mins |
| 19 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,921,804 | 76,864 | 25.00 | 0 hrs 58 mins |
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| 20 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,793,924 | 75,451 | 23.78 | 1 hrs 1 mins |
| 21 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,607,694 | 72,519 | 22.17 | 1 hrs 5 mins |
| 22 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,551,950 | 71,849 | 21.60 | 1 hrs 7 mins |
| 23 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,528,709 | 71,592 | 21.35 | 1 hrs 7 mins |
| 24 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,442,967 | 69,887 | 20.65 | 1 hrs 10 mins |
| 25 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,411,181 | 70,232 | 20.09 | 1 hrs 12 mins |
| 26 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,375,684 | 68,713 | 20.02 | 1 hrs 12 mins |
| 27 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,235,482 | 66,860 | 18.48 | 1 hrs 18 mins |
| 28 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,171,199 | 65,933 | 17.76 | 1 hrs 21 mins |
| 29 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,085,103 | 63,921 | 16.98 | 1 hrs 25 mins |
| 30 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 948,194 | 61,075 | 15.53 | 1 hrs 33 mins |
| 31 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 813,296 | 58,044 | 14.01 | 1 hrs 43 mins |
| 32 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 806,266 | 57,820 | 13.94 | 1 hrs 43 mins |
| 33 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 660,333 | 54,128 | 12.20 | 1 hrs 58 mins |
| 34 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 555,628 | 47,816 | 11.62 | 2 hrs 4 mins |
| 35 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 518,982 | 49,567 | 10.47 | 2 hrs 18 mins |
| 36 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 485,956 | 48,386 | 10.04 | 2 hrs 23 mins |
| 37 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 477,701 | 48,530 | 9.84 | 2 hrs 26 mins |
| 38 | GeForce GTX 1650 Ti Mobile TU116M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU116M | 477,169 | 46,804 | 10.20 | 2 hrs 21 mins |
| 39 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 466,432 | 44,963 | 10.37 | 2 hrs 19 mins |
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| 40 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 465,299 | 48,137 | 9.67 | 2 hrs 29 mins |
| 41 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 422,814 | 46,673 | 9.06 | 2 hrs 39 mins |
| 42 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 337,090 | 43,281 | 7.79 | 3 hrs 5 mins |
| 43 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 285,121 | 41,193 | 6.92 | 3 hrs 28 mins |
| 44 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 238,934 | 38,532 | 6.20 | 3 hrs 52 mins |
| 45 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 218,427 | 27,923 | 7.82 | 3 hrs 4 mins |
| 46 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 205,911 | 34,341 | 6.00 | 4 hrs 0 mins |
| 47 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 203,370 | 36,473 | 5.58 | 4 hrs 18 mins |
| 48 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 192,083 | 35,909 | 5.35 | 4 hrs 29 mins |
| 49 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 175,214 | 34,898 | 5.02 | 4 hrs 47 mins |
| 50 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 155,942 | 32,758 | 4.76 | 5 hrs 2 mins |
| 51 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 119,128 | 30,643 | 3.89 | 6 hrs 10 mins |
| 52 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 116,708 | 30,415 | 3.84 | 6 hrs 15 mins |
| 53 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 109,485 | 29,827 | 3.67 | 6 hrs 32 mins |
| 54 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 107,527 | 29,317 | 3.67 | 6 hrs 33 mins |
| 55 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 91,967 | 28,134 | 3.27 | 7 hrs 21 mins |
| 56 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 85,608 | 27,492 | 3.11 | 7 hrs 42 mins |
| 57 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 74,211 | 26,238 | 2.83 | 8 hrs 29 mins |
| 58 | Radeon Rx 270/370 Curacao Pro [Radeon Rx 270/370] |
AMD | Curacao Pro | 51,743 | 19,029 | 2.72 | 8 hrs 50 mins |
| 59 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 50,152 | 23,044 | 2.18 | 11 hrs 2 mins |
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| 60 | Radeon R7/R6 360 Series Bonaire [Radeon R7/R6 360 Series] |
AMD | Bonaire | 34,166 | 14,750 | 2.32 | 10 hrs 22 mins |
| 61 | Radeon R7 250/HD 7700 R575A [Radeon R7 250/HD 7700] |
AMD | R575A | 24,332 | 18,474 | 1.32 | 18 hrs 13 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:36:27|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|