RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17936 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 110,202
Core: 0x23
Status: Public

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

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

Transporters

Proteins that move molecules across cell membranes.

Technical: Biotechnology, Pharmaceuticals
Cellular Processes / Membrane Transport

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.

Scientific: Biotechnology, Pharmaceuticals
Cellular Processes / Membrane Transport

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.

Scientific: Biotechnology, Pharmaceuticals
Cellular Processes / Electrochemistry

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.

Scientific: Biotechnology, Pharmaceuticals
Biochemistry, Molecular Biology / Structural Biology

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.

Technical: Biotechnology, Pharmaceuticals
Computational Biology, Bioinformatics / Molecular Modeling

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