RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17942 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 131,306
Core: 0x23
Status: Public

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. The project relates to understanding how these transporters work across different types of proteins because they're important drug targets for 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 ions to transport molecules across cell membranes.

Technical: Pharmaceutical Research
Biotechnology / Membrane Transport

Secondary active transporters are essential proteins found in all living organisms. They utilize the energy stored in ion gradients to move various molecules across cell membranes. These transporters play a crucial role in many biological processes, such as nutrient uptake, waste removal, and signaling. Due to their involvement in various diseases, they are also important drug targets for treating conditions like cancer, diabetes, and neurological disorders.


Ion gradient

A difference in ion concentration across a cell membrane.

Scientific: Biomedical Research
Biochemistry / Cellular Transport

An ion gradient refers to the unequal distribution of charged ions (like sodium or potassium) between the inside and outside of a cell. This difference in concentration is essential for various cellular functions, including nerve impulse transmission, muscle contraction, and nutrient uptake. Cells maintain these gradients through specialized proteins called pumps and channels.


Simulations

Computer models used to mimic biological processes.

Technical: Drug Discovery
Bioinformatics / Computational Biology

Simulations are powerful tools used in computational biology to study complex biological systems. By creating virtual models of cells or molecules, researchers can investigate how they interact and function under different conditions. Simulations help accelerate drug discovery by allowing scientists to test potential therapies before conducting expensive and time-consuming experiments.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:33:43
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 20,093,071 153,532 130.87 0 hrs 11 mins
2 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 17,396,933 10,897 1596.49 0 hrs 1 mins
3 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 14,012,994 133,648 104.85 0 hrs 14 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 10,611,785 120,365 88.16 0 hrs 16 mins
5 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 8,408,996 107,367 78.32 0 hrs 18 mins
6 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 7,023,949 108,970 64.46 0 hrs 22 mins
7 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 3,342,355 81,358 41.08 0 hrs 35 mins
8 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,144,149 10,897 288.53 0 hrs 5 mins
9 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,805,616 76,680 36.59 0 hrs 39 mins
10 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,429,886 73,710 32.97 0 hrs 44 mins
11 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,328,808 28,031 83.08 0 hrs 17 mins
12 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,296,309 61,468 37.36 0 hrs 39 mins
13 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,001,457 44,159 45.32 0 hrs 32 mins
14 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,551,236 64,914 23.90 1 hrs 0 mins
15 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,523,872 63,946 23.83 1 hrs 0 mins
16 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,506,530 62,709 24.02 0 hrs 60 mins
17 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,342,722 62,238 21.57 1 hrs 7 mins
18 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 1,174,165 10,897 107.75 0 hrs 13 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:33:43
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make