RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17936 PROFILE
PROJECT TEAM
Manager(s): Arnav PaulInstitution: University of Illinois
WORK UNIT INFO
Atoms: 110,202Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to how proteins use ion gradients to move molecules across cell membranes. This process is important for many biological functions and can be targeted by drugs to treat diseases like cancer and diabetes.
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
Transporters
Proteins that move molecules across cell membranes.
Transporters are essential proteins embedded in cell membranes that facilitate the movement of various substances into and out of cells. They play a crucial role in maintaining cellular homeostasis and transporting nutrients, ions, and waste products.
Secondary Active Transporters
Transmembrane proteins that use an ion gradient to power the transport of other molecules.
Secondary active transporters are a type of membrane protein that utilize the energy stored in an electrochemical gradient of ions (usually sodium or potassium) to move another molecule across the cell membrane. This process is called secondary active transport and is essential for many cellular functions.
Ion Gradient
The difference in concentration of ions across a membrane.
An ion gradient refers to the uneven distribution of charged particles (ions) across a cell membrane. This separation of charges creates an electrochemical potential that can be used by cells to perform various functions.
Molecular Basis
The fundamental chemical and physical principles that underlie a biological phenomenon.
Molecular basis refers to the underlying structure and interactions of molecules that contribute to a particular biological process. Understanding the molecular basis of a phenomenon allows us to delve into its mechanistic details at a fundamental level.
Simulations
Computer-based models used to mimic biological processes.
Simulations are powerful computational tools used in various scientific fields to represent and study complex systems. In biology, simulations can be used to model molecular interactions, cellular processes, or even entire ecosystems.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:33:52|
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 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 15,567,874 | 31,748 | 490.36 | 0 hrs 3 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 15,350,154 | 112,384 | 136.59 | 0 hrs 11 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 8,183,460 | 95,280 | 85.89 | 0 hrs 17 mins |
| 4 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 6,499,855 | 86,357 | 75.27 | 0 hrs 19 mins |
| 5 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,588,200 | 75,692 | 60.62 | 0 hrs 24 mins |
| 6 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,353,280 | 73,591 | 59.16 | 0 hrs 24 mins |
| 7 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,617,171 | 8,243 | 438.82 | 0 hrs 3 mins |
| 8 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,821,771 | 65,276 | 43.23 | 0 hrs 33 mins |
| 9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,222,441 | 59,600 | 37.29 | 0 hrs 39 mins |
| 10 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,045,158 | 77,876 | 26.26 | 0 hrs 55 mins |
| 11 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,883,490 | 57,252 | 32.90 | 0 hrs 44 mins |
| 12 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 940,735 | 22,568 | 41.68 | 0 hrs 35 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:33:52|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
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