RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17940 PROFILE
PROJECT TEAM
Manager(s): Arnav PaulInstitution: University of Illinois
WORK UNIT INFO
Atoms: 143,182Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Secondary active transporters are proteins that use ion power to move molecules across cell membranes. These transporters are found everywhere in nature and are important for health. The project relates to using computer simulations to understand how these transporters work, which could lead to new treatments for diseases.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
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 diseases like cancer, diabetes, and neurological disorders.
The simulations in this project will allow us to understand a universal role of ion-coupling across different families of proteins.
RELATED TERMS GLOSSARY AI BETA
Molecular basis
The fundamental structure and function of molecules.
This refers to the underlying molecular mechanisms that drive the activity and behavior of secondary active transporters. It explores how these proteins are structured at a molecular level and how their components interact to facilitate transport.
Secondary active transporters
Membrane proteins that use an ion gradient to drive the transport of other molecules across a cell membrane.
These are specialized proteins embedded in cell membranes. They harness the energy stored in an electrochemical gradient of ions (like sodium or potassium) to move other molecules against their concentration gradient, from an area of low concentration to an area of high concentration. This is essential for various cellular processes.
Ion gradient
A difference in ion concentration across a membrane.
This refers to the unequal distribution of charged particles (ions) across a cell membrane. Typically, there is a higher concentration of specific ions outside the cell compared to inside, creating an electrochemical potential that can be harnessed for energy.
Cell membranes
Phospholipid bilayers that surround cells and control the movement of substances in and out.
These are thin, flexible barriers that enclose all living cells. They are made up of a double layer of phospholipids, with embedded proteins. Cell membranes regulate what enters and exits the cell, maintaining its internal environment.
Proteins
Large biomolecules made up of amino acids.
Proteins are the workhorses of the cell, responsible for a wide range of functions. They can act as enzymes, structural components, signaling molecules, and more. Their complex shapes and arrangements allow them to perform specific tasks essential for life.
Drug targets
Molecules or cellular pathways involved in disease processes that can be inhibited by drugs.
These are specific molecules or biological pathways that play a key role in the development or progression of diseases. By targeting these drug targets with medications, scientists aim to disrupt the underlying disease mechanisms and alleviate symptoms.
Cancer
Uncontrolled cell growth and spread.
Cancer is a broad term for a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. These cells can invade surrounding tissues and spread to other parts of the body.
Diabetes
Metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic condition where the body either doesn't produce enough insulin (a hormone that regulates blood sugar) or can't effectively use the insulin it produces. This leads to elevated blood sugar levels, which can damage various organs over time.
Neurological disorders
Conditions that affect the nervous system.
Neurological disorders encompass a wide range of conditions that impact the brain, spinal cord, and nerves. These can include diseases like Alzheimer's, Parkinson's, multiple sclerosis, stroke, and epilepsy.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:33:46|
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 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 10,958,098 | 139,135 | 78.76 | 0 hrs 18 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,262,057 | 126,008 | 65.57 | 0 hrs 22 mins |
| 3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,672,445 | 123,844 | 61.95 | 0 hrs 23 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,299,297 | 13,095 | 481.05 | 0 hrs 3 mins |
| 5 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,106,448 | 112,865 | 54.10 | 0 hrs 27 mins |
| 6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,296,970 | 109,722 | 48.28 | 0 hrs 30 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,789,415 | 104,760 | 45.72 | 0 hrs 31 mins |
| 8 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,767,314 | 105,461 | 45.20 | 0 hrs 32 mins |
| 9 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,820,996 | 97,686 | 39.12 | 0 hrs 37 mins |
| 10 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,352,500 | 93,373 | 35.90 | 0 hrs 40 mins |
| 11 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 3,328,049 | 93,972 | 35.42 | 0 hrs 41 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,185,927 | 92,654 | 34.39 | 0 hrs 42 mins |
| 13 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,924,576 | 27,844 | 105.03 | 0 hrs 14 mins |
| 14 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,573,577 | 86,213 | 29.85 | 0 hrs 48 mins |
| 15 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,442,731 | 84,012 | 29.08 | 0 hrs 50 mins |
| 16 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,575,002 | 78,651 | 20.03 | 1 hrs 12 mins |
| 17 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,425,584 | 13,095 | 108.86 | 0 hrs 13 mins |
| 18 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 168,074 | 34,919 | 4.81 | 4 hrs 59 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:33:46|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
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