RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17934 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 92,122
Core: 0x23
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

The project relates to proteins that use ions (like sodium) to move other molecules across cell walls. These transporters are super important for all living things and help fight diseases like cancer and diabetes. Simulations will show how they work, no matter their shape!

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.

Secondary active transporters

Proteins that use ion gradients to transport molecules across membranes.

Technical: Biotechnology
Membrane transport / Cellular processes

Secondary active transporters are crucial proteins found in all living organisms. They act like cellular ferries, using the energy from an existing ion gradient to move other molecules across cell membranes. This process is essential for various functions, including nutrient uptake, waste removal, and signal transduction. Many secondary active transporters are also drug targets because they play roles in diseases like cancer, diabetes, and neurological disorders.


Ion gradient

A difference in concentration of charged ions across a membrane.

Scientific: Biotechnology
Membrane transport / Cellular processes

An ion gradient refers to the unequal distribution of electrically charged atoms (ions) across a cell membrane. This difference in concentration creates an electrochemical potential that cells can harness for various processes. For example, sodium-potassium pumps use energy to create an ion gradient that drives nerve impulse transmission.


Proteins

Large, complex molecules essential for all biological functions.

Scientific: Biotechnology, Pharmacology
Molecular biology / Cellular structure

Proteins are the workhorses of cells, carrying out a vast array of functions. They are made up of chains of amino acids linked together in specific sequences. Proteins can act as enzymes (catalysts), structural components, transporters, hormones, and much more.


Membranes

Thin barriers that enclose cells and organelles.

Scientific: Biotechnology, Pharmacology
Cell biology / Cellular structure

Membranes are thin layers composed primarily of lipids and proteins. They act as barriers separating different compartments within cells and between cells and their environment. Membranes regulate the passage of molecules in and out of cells, maintaining cellular integrity and function.


Simulations

Computer models used to represent and study complex systems.

Technical: Biotechnology, Academia
Computational biology / Research methods

Simulations are powerful tools for understanding complex processes in biology and other fields. By creating computer models of biological systems, researchers can test hypotheses, explore different scenarios, and gain insights that would be difficult or impossible to obtain through experiments alone.


Families of proteins

Groups of proteins with similar structures and functions.

Scientific: Biotechnology, Academia
Molecular biology / Protein classification

Proteins are classified into families based on similarities in their amino acid sequences, structures, and functions. This classification system helps researchers understand the evolutionary relationships between proteins and their roles in biological systems.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:33:55
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 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 18,632,549 243,689 76.46 0 hrs 19 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 11,427,427 88,769 128.73 0 hrs 11 mins
3 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,274,307 64,489 66.28 0 hrs 22 mins
4 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,092,721 65,523 62.46 0 hrs 23 mins
5 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,366,778 52,035 45.48 0 hrs 32 mins
6 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,312,639 43,961 52.61 0 hrs 27 mins
7 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,089,893 50,350 41.51 0 hrs 35 mins
8 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,603,535 46,007 34.85 0 hrs 41 mins
9 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 83,497 6,575 12.70 1 hrs 53 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:33:55
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make