RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17932 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 103,391
Core: 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 in all living things and work the same way, even if they look different. This project will help us understand how these transporters use ion power, which is important for treating 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.

Secondary active transporters

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

Technical: Biotechnology
Membrane Transport / Cellular Processes

Secondary active transporters are essential proteins found in all living organisms. They work by using the energy stored in an ion gradient to move other molecules across cell membranes. This process is crucial for various cellular functions, including nutrient uptake, waste removal, and signal transduction. Many secondary active transporters are also drug targets, making them important for treating diseases like cancer, diabetes, and neurological disorders.


Ion gradient

A difference in concentration of ions across a cell membrane.

Scientific: Biotechnology
Membrane Transport / Cellular Processes

An ion gradient is a fundamental concept in cellular biology. It refers to the uneven distribution of charged atoms (ions) across a cell membrane. This difference in concentration creates an electrochemical potential that drives various cellular processes, including nutrient uptake, waste removal, and nerve impulse transmission. Secondary active transporters utilize ion gradients to facilitate the movement of other molecules across membranes.


Drug targets

Molecules or proteins that are involved in disease processes and can be targeted by drugs.

Technical: Pharmaceutical
Pharmacology / Disease Treatment

Drug targets are essential components of the drug development process. They refer to specific molecules or proteins that play a role in disease pathways. By targeting these molecules, drugs can disrupt the disease process and provide therapeutic benefits. Secondary active transporters are often considered drug targets due to their involvement in various physiological processes.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:33:59
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 22,515,601 129,919 173.30 0 hrs 8 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 19,358,799 8,425 2297.78 0 hrs 1 mins
3 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,699,678 8,425 1982.16 0 hrs 1 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 10,087,059 97,059 103.93 0 hrs 14 mins
5 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 9,182,234 90,107 101.90 0 hrs 14 mins
6 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,907,833 88,070 78.44 0 hrs 18 mins
7 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 6,408,318 172,740 37.10 0 hrs 39 mins
8 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,356,344 69,988 47.96 0 hrs 30 mins
9 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,250,920 68,413 47.52 0 hrs 30 mins
10 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,193,329 45,128 48.60 0 hrs 30 mins
11 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,778,296 56,409 31.53 0 hrs 46 mins
12 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,417,626 52,750 26.87 0 hrs 54 mins
13 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 946,810 45,679 20.73 1 hrs 9 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:33:59
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make