RESEARCH: CANCER
FOLDING PROJECT #17729 PROFILE
PROJECT TEAM
Manager(s): Matthew ChanInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 121,449Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to studying how proteins move molecules across cell membranes using energy from ions. These proteins are important for many bodily functions and are targets for drugs treating diseases like cancer and diabetes. Simulations will help us understand how these proteins work across different types of cells.
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 use the energy from an ion gradient to move different molecules across cell membranes. This process is vital for many cellular functions, including nutrient uptake, waste removal, and signal transduction. Many secondary active transporters are targets for drugs used to treat diseases like cancer, diabetes, and neurological disorders.
Ion gradient
A difference in ion concentration across a cell membrane.
An ion gradient refers to an uneven distribution of charged ions (like sodium or potassium) across a cell membrane. This difference in concentration creates an electrical potential that can be used to power cellular processes, such as nerve impulse transmission and muscle contraction.
Cell membranes
The outer boundary of a cell that separates its internal environment from the outside.
Cell membranes are thin, flexible barriers that surround all living cells. They are composed primarily of lipids and proteins and play a crucial role in regulating what enters and exits the cell. This selective permeability is essential for maintaining cellular homeostasis and function.
Proteins
Large complex molecules essential for virtually all biological processes.
Proteins are the workhorses of cells, carrying out a wide range of functions including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes. They are composed of chains of amino acids folded into specific three-dimensional shapes that determine their function.
Drug targets
Molecules or biological processes that are targeted by drugs to treat diseases.
Drug targets are specific molecules or pathways involved in disease processes. By inhibiting or activating these targets, drugs can modulate cellular functions and alleviate symptoms. Identifying effective drug targets is crucial for developing new therapies.
Cancer
Uncontrolled growth and spread of abnormal cells.
Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. These cells can invade surrounding tissues and metastasize to distant organs, leading to various complications. Cancer treatment often involves surgery, chemotherapy, radiation therapy, or immunotherapy.
Diabetes
Metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic metabolic disorder characterized by elevated blood sugar levels. It occurs when the body either doesn't produce enough insulin or can't effectively use the insulin it produces. Insulin is a hormone that regulates blood sugar levels. Diabetes can lead to various complications, including heart disease, stroke, blindness, and nerve damage.
Neurological disorders
Conditions affecting the nervous system.
Neurological disorders encompass a wide range of conditions affecting the brain, spinal cord, and peripheral nerves. They can manifest as cognitive impairments, movement disorders, sensory disturbances, or emotional changes. Examples include Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:36:30|
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 | 7,311,637 | 129,718 | 56.37 | 0 hrs 26 mins |
| 2 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,391,128 | 120,974 | 44.56 | 0 hrs 32 mins |
| 3 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 4,868,013 | 109,452 | 44.48 | 0 hrs 32 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,238,967 | 113,187 | 37.45 | 0 hrs 38 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,220,325 | 112,347 | 37.57 | 0 hrs 38 mins |
| 6 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 4,185,202 | 113,330 | 36.93 | 0 hrs 39 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,168,041 | 101,611 | 31.18 | 0 hrs 46 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,092,420 | 100,591 | 30.74 | 0 hrs 47 mins |
| 9 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 3,035,293 | 100,786 | 30.12 | 0 hrs 48 mins |
| 10 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,832,982 | 97,527 | 29.05 | 0 hrs 50 mins |
| 11 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,792,799 | 97,122 | 28.76 | 0 hrs 50 mins |
| 12 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 2,666,003 | 95,655 | 27.87 | 0 hrs 52 mins |
| 13 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,572,244 | 93,062 | 27.64 | 0 hrs 52 mins |
| 14 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,377,760 | 92,501 | 25.71 | 0 hrs 56 mins |
| 15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,161,124 | 89,516 | 24.14 | 0 hrs 60 mins |
| 16 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,150,406 | 89,482 | 24.03 | 0 hrs 60 mins |
| 17 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,000,318 | 86,900 | 23.02 | 1 hrs 3 mins |
| 18 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,831,927 | 83,624 | 21.91 | 1 hrs 6 mins |
| 19 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,815,544 | 84,465 | 21.49 | 1 hrs 7 mins |
|
|
|||||||
| 20 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,751,205 | 82,428 | 21.25 | 1 hrs 8 mins |
| 21 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,592,846 | 81,062 | 19.65 | 1 hrs 13 mins |
| 22 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,346,753 | 77,341 | 17.41 | 1 hrs 23 mins |
| 23 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,332,293 | 76,543 | 17.41 | 1 hrs 23 mins |
| 24 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,180,982 | 73,541 | 16.06 | 1 hrs 30 mins |
| 25 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,168,184 | 73,455 | 15.90 | 1 hrs 31 mins |
| 26 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,123,543 | 72,509 | 15.50 | 1 hrs 33 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,084,626 | 71,417 | 15.19 | 1 hrs 35 mins |
| 28 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 957,900 | 68,179 | 14.05 | 1 hrs 42 mins |
| 29 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 922,394 | 67,782 | 13.61 | 1 hrs 46 mins |
| 30 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 827,786 | 65,382 | 12.66 | 1 hrs 54 mins |
| 31 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 776,866 | 63,817 | 12.17 | 1 hrs 58 mins |
| 32 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 623,196 | 59,356 | 10.50 | 2 hrs 17 mins |
| 33 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 523,548 | 54,130 | 9.67 | 2 hrs 29 mins |
| 34 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 506,603 | 55,536 | 9.12 | 2 hrs 38 mins |
| 35 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 485,754 | 54,820 | 8.86 | 2 hrs 43 mins |
| 36 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 458,281 | 53,568 | 8.56 | 2 hrs 48 mins |
| 37 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 451,703 | 47,151 | 9.58 | 2 hrs 30 mins |
| 38 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 438,227 | 52,995 | 8.27 | 2 hrs 54 mins |
| 39 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 434,525 | 51,801 | 8.39 | 2 hrs 52 mins |
|
|
|||||||
| 40 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 385,340 | 50,355 | 7.65 | 3 hrs 8 mins |
| 41 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 350,195 | 49,113 | 7.13 | 3 hrs 22 mins |
| 42 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 288,500 | 41,900 | 6.89 | 3 hrs 29 mins |
| 43 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 222,006 | 42,315 | 5.25 | 4 hrs 34 mins |
| 44 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 221,767 | 42,135 | 5.26 | 4 hrs 34 mins |
| 45 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 212,220 | 41,670 | 5.09 | 4 hrs 43 mins |
| 46 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 160,612 | 31,888 | 5.04 | 4 hrs 46 mins |
| 47 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 157,256 | 36,909 | 4.26 | 5 hrs 38 mins |
| 48 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 118,000 | 33,904 | 3.48 | 6 hrs 54 mins |
| 49 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 114,438 | 33,922 | 3.37 | 7 hrs 7 mins |
| 50 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 114,207 | 33,870 | 3.37 | 7 hrs 7 mins |
| 51 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 109,727 | 33,516 | 3.27 | 7 hrs 20 mins |
| 52 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 107,261 | 33,160 | 3.23 | 7 hrs 25 mins |
| 53 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 103,047 | 32,464 | 3.17 | 7 hrs 34 mins |
| 54 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 102,792 | 31,852 | 3.23 | 7 hrs 26 mins |
| 55 | Radeon RX 460 Baffin XT [Radeon RX 460] |
AMD | Baffin XT | 99,379 | 32,050 | 3.10 | 7 hrs 44 mins |
| 56 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 98,762 | 30,488 | 3.24 | 7 hrs 25 mins |
| 57 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 86,521 | 26,537 | 3.26 | 7 hrs 22 mins |
| 58 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 81,931 | 30,353 | 2.70 | 8 hrs 53 mins |
| 59 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 74,074 | 29,329 | 2.53 | 9 hrs 30 mins |
|
|
|||||||
| 60 | GTX 650 Ti Boost GK106 [GTX 650 Ti Boost] |
Nvidia | GK106 | 62,757 | 24,828 | 2.53 | 9 hrs 30 mins |
| 61 | Radeon R7 250/HD 7700 R575A [Radeon R7 250/HD 7700] |
AMD | R575A | 21,630 | 16,647 | 1.30 | 18 hrs 28 mins |
| 62 | GeForce GTX 670M GF114 [GeForce GTX 670M] |
Nvidia | GF114 | 10,243 | 12,850 | 0.80 | 30 hrs 7 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:36:30|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|