RESEARCH: CANCER
FOLDING PROJECT #17732 PROFILE
PROJECT TEAM
Manager(s): Matthew ChanInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 79,607Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies how proteins use ion power to move molecules across cell membranes. These proteins are found everywhere and play a role in treating diseases like cancer and diabetes. Simulations will help us understand how these proteins work, no matter their shape or size.
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 ions to transport molecules across cell membranes.
Secondary active transporters are essential proteins found in all living organisms. They work by using the energy from an ion gradient to move other molecules across cell membranes. This process is crucial for many cellular functions, including nutrient uptake, waste removal, and signal transduction. These transporters are also important drug targets for treating various diseases like cancer, diabetes, and neurological disorders.
Ion gradient
A difference in concentration of ions across a cell membrane.
An ion gradient is a crucial concept in cellular physiology. It refers to the unequal distribution of charged particles (ions) across a cell membrane. This difference in concentration creates an electrochemical potential that drives various cellular processes, including nutrient uptake, waste removal, and nerve impulse transmission.
Drug targets
Molecules or cellular pathways that are targeted by drugs to achieve therapeutic effects.
In drug development, drug targets are specific molecules or biological processes that are altered by medications to treat diseases. By understanding the mechanisms of disease, researchers can identify potential drug targets and design drugs that interact with these targets to produce the desired therapeutic effect.
Cancer
A group of diseases characterized by uncontrolled cell growth.
Cancer is a complex group of diseases caused by abnormal cell growth and spread. It occurs when cells lose their normal regulatory mechanisms and begin to divide uncontrollably, invading surrounding tissues and potentially spreading to other parts of the body.
Diabetes
A metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic disease that affects how the body regulates blood sugar (glucose). There are different types of diabetes, but they all involve problems with insulin production or action. Insulin is a hormone that helps cells absorb glucose from the bloodstream. Without enough insulin or when the body doesn't respond to insulin properly, glucose builds up in the blood, leading to various health complications.
Neurological disorders
Conditions that affect the nervous system.
Neurological disorders encompass a wide range of diseases and conditions that impact the brain, spinal cord, and peripheral nerves. These disorders can affect various functions, including movement, sensation, cognition, and emotions. Some common neurological disorders include Alzheimer's disease, Parkinson's disease, stroke, epilepsy, and multiple sclerosis.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:36:25|
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 | 7,083,924 | 114,060 | 62.11 | 0 hrs 23 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,629,916 | 106,791 | 52.72 | 0 hrs 27 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,988,809 | 102,746 | 48.55 | 0 hrs 30 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,512,356 | 99,230 | 45.47 | 0 hrs 32 mins |
| 5 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 4,468,029 | 98,255 | 45.47 | 0 hrs 32 mins |
| 6 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,184,304 | 88,607 | 35.94 | 0 hrs 40 mins |
| 7 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,081,130 | 87,683 | 35.14 | 0 hrs 41 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,077,767 | 87,880 | 35.02 | 0 hrs 41 mins |
| 9 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,900,783 | 82,842 | 35.02 | 0 hrs 41 mins |
| 10 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,846,854 | 85,486 | 33.30 | 0 hrs 43 mins |
| 11 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,582,568 | 82,515 | 31.30 | 0 hrs 46 mins |
| 12 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,471,275 | 81,815 | 30.21 | 0 hrs 48 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,418,372 | 81,070 | 29.83 | 0 hrs 48 mins |
| 14 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 2,063,777 | 76,344 | 27.03 | 0 hrs 53 mins |
| 15 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,037,360 | 76,113 | 26.77 | 0 hrs 54 mins |
| 16 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,978,521 | 75,864 | 26.08 | 0 hrs 55 mins |
| 17 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,813,040 | 73,852 | 24.55 | 0 hrs 59 mins |
| 18 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,811,045 | 73,631 | 24.60 | 0 hrs 59 mins |
| 19 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,436,334 | 68,765 | 20.89 | 1 hrs 9 mins |
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| 20 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,342,702 | 65,823 | 20.40 | 1 hrs 11 mins |
| 21 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,292,867 | 65,827 | 19.64 | 1 hrs 13 mins |
| 22 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,198,668 | 64,676 | 18.53 | 1 hrs 18 mins |
| 23 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,088,095 | 61,960 | 17.56 | 1 hrs 22 mins |
| 24 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,085,673 | 62,188 | 17.46 | 1 hrs 22 mins |
| 25 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 963,511 | 60,003 | 16.06 | 1 hrs 30 mins |
| 26 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 819,309 | 56,896 | 14.40 | 1 hrs 40 mins |
| 27 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 672,640 | 53,131 | 12.66 | 1 hrs 54 mins |
| 28 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 666,634 | 45,262 | 14.73 | 1 hrs 38 mins |
| 29 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 577,583 | 50,791 | 11.37 | 2 hrs 7 mins |
| 30 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 548,763 | 49,788 | 11.02 | 2 hrs 11 mins |
| 31 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 499,937 | 46,683 | 10.71 | 2 hrs 14 mins |
| 32 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 478,037 | 47,385 | 10.09 | 2 hrs 23 mins |
| 33 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 471,017 | 46,984 | 10.03 | 2 hrs 24 mins |
| 34 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 439,413 | 44,380 | 9.90 | 2 hrs 25 mins |
| 35 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 399,727 | 44,681 | 8.95 | 2 hrs 41 mins |
| 36 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 376,739 | 43,678 | 8.63 | 2 hrs 47 mins |
| 37 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 307,178 | 40,963 | 7.50 | 3 hrs 12 mins |
| 38 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 296,355 | 39,899 | 7.43 | 3 hrs 14 mins |
| 39 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 287,223 | 40,279 | 7.13 | 3 hrs 22 mins |
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| 40 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 250,037 | 37,904 | 6.60 | 3 hrs 38 mins |
| 41 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 242,023 | 37,815 | 6.40 | 3 hrs 45 mins |
| 42 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 211,671 | 35,581 | 5.95 | 4 hrs 2 mins |
| 43 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 205,191 | 35,721 | 5.74 | 4 hrs 11 mins |
| 44 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 199,182 | 35,505 | 5.61 | 4 hrs 17 mins |
| 45 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 180,662 | 34,453 | 5.24 | 4 hrs 35 mins |
| 46 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 156,343 | 32,222 | 4.85 | 4 hrs 57 mins |
| 47 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 117,273 | 29,892 | 3.92 | 6 hrs 7 mins |
| 48 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 113,802 | 29,426 | 3.87 | 6 hrs 12 mins |
| 49 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 110,013 | 29,142 | 3.78 | 6 hrs 21 mins |
| 50 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 103,309 | 28,566 | 3.62 | 6 hrs 38 mins |
| 51 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 100,834 | 27,133 | 3.72 | 6 hrs 27 mins |
| 52 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 94,089 | 27,544 | 3.42 | 7 hrs 2 mins |
| 53 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 76,923 | 24,481 | 3.14 | 7 hrs 38 mins |
| 54 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 74,509 | 25,649 | 2.90 | 8 hrs 16 mins |
| 55 | GTX 650 Ti Boost GK106 [GTX 650 Ti Boost] |
Nvidia | GK106 | 67,510 | 23,186 | 2.91 | 8 hrs 15 mins |
| 56 | Radeon R7 250/HD 7700 R575A [Radeon R7 250/HD 7700] |
AMD | R575A | 24,155 | 16,412 | 1.47 | 16 hrs 18 mins |
| 57 | Ryzen vega 8 mobile Raven [Ryzen vega 8 mobile] |
AMD | Raven | 22,524 | 14,194 | 1.59 | 15 hrs 7 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:36:25|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|