RESEARCH: CANCER
FOLDING PROJECT #17733 PROFILE
PROJECT TEAM
Manager(s): Matthew ChanInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 105,835Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how proteins called secondary active transporters use ion gradients to move molecules across cell membranes. These transporters are found everywhere in life and are important drug targets for diseases like cancer, diabetes, and neurological disorders. By studying them, we can learn more about how these proteins work, even if they look very different from each other.
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 vital proteins found in all living organisms. They utilize the energy stored in an ion gradient to move various molecules across cell membranes. These transporters play a crucial role in cellular functions and are often targeted by drugs to treat diseases like cancer, diabetes, and neurological disorders.
Ion Gradient
The difference in concentration of ions across a cell membrane.
An ion gradient 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 the function of secondary active transporters.
Cell Membrane
A thin layer that surrounds every cell and separates it from its environment.
The cell membrane is a vital structure that encloses every cell, acting as a barrier between the cell's internal environment and the external world. It plays a crucial role in regulating the passage of molecules into and out of the cell.
Protein
A large biomolecule composed of amino acids.
Proteins are essential macromolecules found in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.
Drug Targets
Molecules or biological processes that are targeted by drugs.
Drug targets are specific molecules or pathways within the body that are involved in disease processes. Drugs are designed to interact with these targets and modulate their activity, ultimately aiming to treat or prevent diseases.
Cancer
A group of diseases characterized by uncontrolled cell growth.
Cancer is a complex group of diseases characterized by abnormal and uncontrolled cell division. These cells can invade surrounding tissues and spread to other parts of the body.
Diabetes
A metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic metabolic disorder where the body either doesn't produce enough insulin or can't effectively use the insulin it produces. This leads to elevated blood sugar levels, which can damage various organs and tissues.
Neurological Disorders
A broad category of diseases affecting the nervous system.
Neurological disorders encompass a wide range of conditions that affect the brain, spinal cord, and nerves. These disorders can cause various symptoms, including seizures, paralysis, cognitive impairment, and sensory disturbances.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:36:24|
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 | 7,309,071 | 115,251 | 63.42 | 0 hrs 23 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,677,675 | 106,745 | 53.19 | 0 hrs 27 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,055,023 | 102,736 | 49.20 | 0 hrs 29 mins |
| 4 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 4,680,413 | 99,208 | 47.18 | 0 hrs 31 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,202,604 | 96,630 | 43.49 | 0 hrs 33 mins |
| 6 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,234,012 | 88,630 | 36.49 | 0 hrs 39 mins |
| 7 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 3,205,553 | 89,010 | 36.01 | 0 hrs 40 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,198,307 | 88,490 | 36.14 | 0 hrs 40 mins |
| 9 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,110,494 | 86,983 | 35.76 | 0 hrs 40 mins |
| 10 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,581,987 | 78,101 | 33.06 | 0 hrs 44 mins |
| 11 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,553,814 | 81,634 | 31.28 | 0 hrs 46 mins |
| 12 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,386,334 | 80,443 | 29.66 | 0 hrs 49 mins |
| 13 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,210,061 | 78,424 | 28.18 | 0 hrs 51 mins |
| 14 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,177,877 | 77,922 | 27.95 | 0 hrs 52 mins |
| 15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,104,019 | 74,155 | 28.37 | 0 hrs 51 mins |
| 16 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,005,554 | 75,913 | 26.42 | 0 hrs 55 mins |
| 17 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,963,722 | 75,180 | 26.12 | 0 hrs 55 mins |
| 18 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,706,649 | 70,803 | 24.10 | 0 hrs 60 mins |
| 19 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,617,392 | 71,066 | 22.76 | 1 hrs 3 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 | 1,275,021 | 64,203 | 19.86 | 1 hrs 13 mins |
| 21 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,273,443 | 65,788 | 19.36 | 1 hrs 14 mins |
| 22 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,187,431 | 63,895 | 18.58 | 1 hrs 17 mins |
| 23 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,142,834 | 63,526 | 17.99 | 1 hrs 20 mins |
| 24 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,139,693 | 63,213 | 18.03 | 1 hrs 20 mins |
| 25 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,129,993 | 61,539 | 18.36 | 1 hrs 18 mins |
| 26 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 937,877 | 59,090 | 15.87 | 1 hrs 31 mins |
| 27 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 817,677 | 56,371 | 14.51 | 1 hrs 39 mins |
| 28 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 733,991 | 53,882 | 13.62 | 1 hrs 46 mins |
| 29 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 638,668 | 51,870 | 12.31 | 1 hrs 57 mins |
| 30 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 566,758 | 50,062 | 11.32 | 2 hrs 7 mins |
| 31 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 506,838 | 47,871 | 10.59 | 2 hrs 16 mins |
| 32 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 497,928 | 47,485 | 10.49 | 2 hrs 17 mins |
| 33 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 425,346 | 45,673 | 9.31 | 2 hrs 35 mins |
| 34 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 384,227 | 39,003 | 9.85 | 2 hrs 26 mins |
| 35 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 379,768 | 43,684 | 8.69 | 2 hrs 46 mins |
| 36 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 331,682 | 41,762 | 7.94 | 3 hrs 1 mins |
| 37 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 328,709 | 38,146 | 8.62 | 2 hrs 47 mins |
| 38 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 323,282 | 38,803 | 8.33 | 2 hrs 53 mins |
| 39 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 295,641 | 40,215 | 7.35 | 3 hrs 16 mins |
|
|
|||||||
| 40 | Radeon Vega Frontier Edition Vega 10 XTX [Radeon Vega Frontier Edition] |
AMD | Vega 10 XTX | 259,545 | 38,749 | 6.70 | 3 hrs 35 mins |
| 41 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 234,638 | 37,331 | 6.29 | 3 hrs 49 mins |
| 42 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 218,760 | 36,510 | 5.99 | 4 hrs 0 mins |
| 43 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 212,451 | 36,045 | 5.89 | 4 hrs 4 mins |
| 44 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 150,526 | 32,248 | 4.67 | 5 hrs 8 mins |
| 45 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 124,333 | 29,933 | 4.15 | 5 hrs 47 mins |
| 46 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 118,989 | 29,775 | 4.00 | 6 hrs 0 mins |
| 47 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 115,261 | 29,444 | 3.91 | 6 hrs 8 mins |
| 48 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 111,435 | 29,211 | 3.81 | 6 hrs 17 mins |
| 49 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 96,938 | 27,589 | 3.51 | 6 hrs 50 mins |
| 50 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 87,305 | 27,145 | 3.22 | 7 hrs 28 mins |
| 51 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 75,009 | 25,563 | 2.93 | 8 hrs 11 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:36:24|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|