RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17945 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 117,096
Core: 0x23
Status: Public

TLDR; PROJECT SUMMARY AI BETA

The project relates to proteins that use ions to move molecules across cell membranes. These proteins are important for many processes and are being studied to develop new drugs.

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.

Scientific: Biotechnology, Pharmaceuticals
Membrane transport / Cellular biology

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


Ion gradient

A difference in ion concentration across a cell membrane.

Scientific: Biotechnology, Pharmaceuticals
Cellular transport / Membrane potential

An ion gradient is a separation of electrically charged particles (ions) between two areas. In cells, this often refers to a difference in ion concentration across the cell membrane. This gradient creates potential energy that can be used to drive various cellular processes, including transporting molecules across the membrane.


Drug targets

Molecules or biological pathways that are targeted by drugs to treat diseases.

Technical: Pharmaceuticals
Pharmaceutical research / Disease treatment

Drug targets are specific molecules or processes within the body that pharmaceutical companies aim to influence with medications. By targeting these specific areas, drugs can effectively treat various diseases and conditions.


Simulations

Computer programs that mimic real-world processes or systems.

Scientific: Biotechnology, Academia
Biomolecular modeling / Computational biology

Simulations are powerful tools used in various scientific fields to study complex systems and phenomena. By creating computer models that replicate real-world interactions, researchers can gain insights into how things work, test hypotheses, and predict outcomes.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:33:40
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 18,016,185 117,653 153.13 0 hrs 9 mins
2 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,398,165 8,878 1847.06 0 hrs 1 mins
3 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 15,235,283 78,997 192.86 0 hrs 7 mins
4 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 10,943,059 8,878 1232.60 0 hrs 1 mins
5 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 7,593,138 62,761 120.98 0 hrs 12 mins
6 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,654,997 81,024 57.45 0 hrs 25 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,560,662 72,984 48.79 0 hrs 30 mins
8 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,998,362 68,941 43.49 0 hrs 33 mins
9 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,844,361 8,878 320.38 0 hrs 4 mins
10 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,258,270 62,464 36.15 0 hrs 40 mins
11 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,027,101 25,460 79.62 0 hrs 18 mins
12 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,582,162 56,527 27.99 0 hrs 51 mins
13 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 1,241,995 8,878 139.90 0 hrs 10 mins
14 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 550,796 8,878 62.04 0 hrs 23 mins
15 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 311,105 33,374 9.32 2 hrs 34 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:33:40
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make