RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17935 PROFILE
PROJECT TEAM
Manager(s): Arnav PaulInstitution: University of Illinois
WORK UNIT INFO
Atoms: 90,844Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Secondary active transporters are proteins that use ions to move molecules across cell membranes. They're found everywhere and help with important tasks like moving nutrients in our bodies. The project relates to understanding 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 structure of molecules and how they interact to carry out their specific functions. In this context, it's about understanding the building blocks and interactions that make secondary active transporters work.
Secondary active transporter
A membrane protein that uses an ion gradient to transport molecules across a cell membrane.
These proteins are essential for moving various substances in and out of cells. They work by using the energy stored in an ion gradient (like sodium or potassium) to drive the transport of other molecules. This is important for many cellular processes, including nutrient uptake, waste removal, and signaling.
Membrane transporter
A protein embedded in a cell membrane that facilitates the movement of molecules across it.
These proteins act like gatekeepers, controlling what enters and leaves cells. They are crucial for maintaining cellular homeostasis and carrying out essential functions such as nutrient uptake, waste removal, and signal transduction.
Ion gradient
A difference in concentration of ions across a membrane.
This refers to the unequal distribution of electrically charged atoms (ions) on either side of a cell membrane. It's often created by pumps that actively move ions against their concentration gradient, generating potential energy that can be harnessed for various cellular processes.
Ion-coupling
The use of an ion gradient to drive the transport of another molecule.
This describes how secondary active transporters utilize the energy stored in an ion gradient to move other molecules across a membrane. The movement of ions creates a force that can be harnessed to transport different substances, effectively coupling two processes.
Drug targets
Proteins or other molecules that are involved in disease pathways and can be targeted by drugs.
Drug targets are specific molecules within the body that contribute to disease development. By developing drugs that interact with these targets, researchers aim to block or modulate their activity, ultimately treating or preventing the disease.
Cancer
A group of diseases characterized by uncontrolled cell growth and spread.
Cancer is a broad term encompassing various types of diseases where abnormal cells grow uncontrollably and invade surrounding tissues. It can affect almost any part of the body and often requires complex treatments such as surgery, chemotherapy, and radiation.
Diabetes
A chronic metabolic disorder characterized by high blood sugar levels.
Diabetes occurs when the body either doesn't produce enough insulin or can't effectively use it. Insulin is a hormone that regulates blood sugar levels. This condition can lead to various complications if not managed properly.
Neurological disorders
A group of conditions affecting the nervous system.
This broad category encompasses a wide range of diseases and disorders that impact the brain, spinal cord, and nerves. Examples include Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy.
Simulations
Computer models used to represent and study complex systems.
These are virtual representations of real-world processes that can be manipulated and analyzed computationally. In this context, simulations are likely being used to understand how secondary active transporters function at a molecular level.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:33:54|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 21,551,645 | 113,272 | 190.26 | 0 hrs 8 mins |
| 2 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 17,121,268 | 6,615 | 2588.25 | 0 hrs 1 mins |
| 3 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 17,015,899 | 230,291 | 73.89 | 0 hrs 19 mins |
| 4 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,973,879 | 88,151 | 135.83 | 0 hrs 11 mins |
| 5 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 10,176,957 | 87,483 | 116.33 | 0 hrs 12 mins |
| 6 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 6,555,301 | 73,233 | 89.51 | 0 hrs 16 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,726,929 | 61,082 | 61.02 | 0 hrs 24 mins |
| 8 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,812,514 | 55,006 | 51.13 | 0 hrs 28 mins |
| 9 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,201,390 | 21,392 | 102.91 | 0 hrs 14 mins |
| 10 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,674,832 | 47,467 | 35.28 | 0 hrs 41 mins |
| 11 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,643,024 | 47,187 | 34.82 | 0 hrs 41 mins |
| 12 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 934,042 | 39,602 | 23.59 | 1 hrs 1 mins |
| 13 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 665,698 | 34,941 | 19.05 | 1 hrs 16 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:33:54|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
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