RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17935 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 90,844
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 everywhere and help with important tasks like moving nutrients in our bodies. The project relates to understanding how these transporters work, which could lead to new treatments for diseases.

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.

Molecular basis

The fundamental structure and function of molecules.

Scientific: Biotechnology
Biochemistry / Transport Proteins

This refers to the underlying structure of molecules and how they interact to carry out their specific functions. In this context, it's about understanding the building blocks and interactions that make secondary active transporters work.


Secondary active transporter

A membrane protein that uses an ion gradient to transport molecules across a cell membrane.

Scientific: Pharmaceuticals
Biochemistry / Transport Proteins

These proteins are essential for moving various substances in and out of cells. They work by using the energy stored in an ion gradient (like sodium or potassium) to drive the transport of other molecules. This is important for many cellular processes, including nutrient uptake, waste removal, and signaling.


Membrane transporter

A protein embedded in a cell membrane that facilitates the movement of molecules across it.

Scientific: Medicine
Biochemistry / Cell Membrane

These proteins act like gatekeepers, controlling what enters and leaves cells. They are crucial for maintaining cellular homeostasis and carrying out essential functions such as nutrient uptake, waste removal, and signal transduction.


Ion gradient

A difference in concentration of ions across a membrane.

Scientific: Biotechnology
Biochemistry / Cellular Processes

This refers to the unequal distribution of electrically charged atoms (ions) on either side of a cell membrane. It's often created by pumps that actively move ions against their concentration gradient, generating potential energy that can be harnessed for various cellular processes.


Ion-coupling

The use of an ion gradient to drive the transport of another molecule.

Scientific: Pharmaceuticals
Biochemistry / Protein Function

This describes how secondary active transporters utilize the energy stored in an ion gradient to move other molecules across a membrane. The movement of ions creates a force that can be harnessed to transport different substances, effectively coupling two processes.


Drug targets

Proteins or other molecules that are involved in disease pathways and can be targeted by drugs.

Technical: Biotechnology
Pharmacology / Disease Treatment

Drug targets are specific molecules within the body that contribute to disease development. By developing drugs that interact with these targets, researchers aim to block or modulate their activity, ultimately treating or preventing the disease.


Cancer

A group of diseases characterized by uncontrolled cell growth and spread.

Medical: Medicine
Oncology / Disease Pathology

Cancer is a broad term encompassing various types of diseases where abnormal cells grow uncontrollably and invade surrounding tissues. It can affect almost any part of the body and often requires complex treatments such as surgery, chemotherapy, and radiation.


Diabetes

A chronic metabolic disorder characterized by high blood sugar levels.

Medical: Medicine
Endocrinology / Metabolic Disorders

Diabetes occurs when the body either doesn't produce enough insulin or can't effectively use it. Insulin is a hormone that regulates blood sugar levels. This condition can lead to various complications if not managed properly.


Neurological disorders

A group of conditions affecting the nervous system.

Medical: Medicine
Neurology / Brain and Nerve Diseases

This broad category encompasses a wide range of diseases and disorders that impact the brain, spinal cord, and nerves. Examples include Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy.


Simulations

Computer models used to represent and study complex systems.

Technical: Research
Bioinformatics / Computational Biology

These are virtual representations of real-world processes that can be manipulated and analyzed computationally. In this context, simulations are likely being used to understand how secondary active transporters function at a molecular level.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:33:54
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 21,551,645 113,272 190.26 0 hrs 8 mins
2 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 17,121,268 6,615 2588.25 0 hrs 1 mins
3 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 17,015,899 230,291 73.89 0 hrs 19 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 11,973,879 88,151 135.83 0 hrs 11 mins
5 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 10,176,957 87,483 116.33 0 hrs 12 mins
6 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,555,301 73,233 89.51 0 hrs 16 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,726,929 61,082 61.02 0 hrs 24 mins
8 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,812,514 55,006 51.13 0 hrs 28 mins
9 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,201,390 21,392 102.91 0 hrs 14 mins
10 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,674,832 47,467 35.28 0 hrs 41 mins
11 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,643,024 47,187 34.82 0 hrs 41 mins
12 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 934,042 39,602 23.59 1 hrs 1 mins
13 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 665,698 34,941 19.05 1 hrs 16 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:33:54
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make