RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17940 PROFILE

PROJECT TEAM

Manager(s): Arnav Paul
Institution: University of Illinois

WORK UNIT INFO

Atoms: 143,182
Core: 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

Note: Glossary items are a high level summary and may not be 100% accurate.

Molecular basis

The fundamental structure and function of molecules.

Scientific: Pharmaceuticals
Biochemistry / Transport

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.

Scientific: Pharmaceuticals
Biochemistry / Transport

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.

Scientific: Pharmaceuticals
Biochemistry / Transport

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.

Scientific: Biotechnology
Biology / Cellular Structure

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.

Scientific: Pharmaceuticals
Biochemistry / Structure & Function

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.

Technical: Pharmaceuticals
Pharmacology / Disease Treatment

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.

Pathology: Healthcare
Medicine / Oncology

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.

Pathology: Healthcare
Medicine / Endocrinology

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.

Pathology: Healthcare
Medicine / Neuroscience

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