RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17943 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 125,196
Core: 0x23
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Secondary active transporters are proteins that use ion gradients to move molecules across cell membranes. These transporters are important for many biological processes and are targets for drugs treating diseases like cancer and diabetes. This project uses simulations to understand how these proteins work across different types of organisms.

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
Cell Biology / Membrane Transport

Transporters are essential proteins found in all living cells. They play a crucial role in moving various molecules, such as nutrients, ions, and waste products, across the cell membrane. This process is vital for maintaining cellular homeostasis and function.


Secondary Active Transporters

Proteins that use ion gradients to transport molecules across cell membranes.

Scientific: Pharmaceuticals
Biochemistry / Membrane Transport

Secondary active transporters are a type of membrane protein that rely on the energy stored in an existing ion gradient to move other molecules across the cell membrane. They play a vital role in various cellular processes, including nutrient uptake, waste removal, and signal transduction.


Ion Gradient

A difference in ion concentration across a membrane.

Scientific: Biotechnology
Physiology / Membrane Transport

An ion gradient refers to the unequal distribution of ions (charged particles) across a cell membrane. This concentration difference is essential for various cellular processes, including nerve impulse transmission, muscle contraction, and nutrient transport.


Simulations

Computer models used to study biological systems.

Technical: Pharmaceuticals
Computational Biology / Drug Discovery

Simulations are computer programs that mimic the behavior of real-world systems. In computational biology, simulations are used to study complex biological processes, such as protein folding, drug interactions, and disease progression.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:33:42
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 16,354,908 9,825 1664.62 0 hrs 1 mins
2 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,153,622 9,825 1644.13 0 hrs 1 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 14,261,463 123,666 115.32 0 hrs 12 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 9,249,024 106,255 87.05 0 hrs 17 mins
5 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,667,341 97,836 68.15 0 hrs 21 mins
6 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,625,727 9,825 572.59 0 hrs 3 mins
7 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,128,948 74,647 41.92 0 hrs 34 mins
8 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,011,231 9,825 306.49 0 hrs 5 mins
9 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,463,746 48,616 50.68 0 hrs 28 mins
10 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,338,099 68,196 34.28 0 hrs 42 mins
11 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,078,357 9,825 211.54 0 hrs 7 mins
12 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,562,740 60,460 25.85 0 hrs 56 mins
13 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,252,555 55,803 22.45 1 hrs 4 mins
14 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 848,721 47,916 17.71 1 hrs 21 mins
15 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 430,368 34,847 12.35 1 hrs 57 mins
16 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 15,492 9,825 1.58 15 hrs 13 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:33:42
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make