RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17938 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 100,957
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 found everywhere in life and play a key role in health and disease. The project uses simulations to understand how these transporters work across different types of proteins, which could lead to new drug targets for conditions 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.

Molecular basis

The underlying structure and function of molecules.

Scientific: Medicine, Biotechnology
Biotechnology / Protein Structure

Molecular basis refers to the fundamental arrangement of atoms and bonds within a molecule that determines its properties and behavior. Understanding the molecular basis of a phenomenon is crucial in fields like biology and medicine.


Transporters

Proteins that facilitate the movement of molecules across cell membranes.

Scientific: Medicine, Biotechnology
Biotechnology / Cellular Transport

Transporters are specialized proteins embedded in cell membranes. They play a vital role in regulating what enters and exits cells, ensuring proper nutrient uptake, waste removal, and signaling between cells.


Secondary active transporters

Transporters that utilize an ion gradient to power the transport of another molecule.

Scientific: Medicine, Biotechnology
Biotechnology / Cellular Transport

Secondary active transporters are a type of protein found in cell membranes. They use the energy stored in an electrochemical gradient of ions (like sodium or potassium) to move other molecules against their concentration gradient. This is essential for nutrient uptake, waste removal, and various signaling processes.


Drug targets

Molecules or pathways that are targeted by drugs to achieve a therapeutic effect.

Scientific: Medicine
Pharmacology / Drug Discovery

Drug targets are specific molecules or biological processes involved in disease development. By inhibiting or activating these targets, drugs can modulate disease progression and alleviate symptoms.


Cancer

A disease characterized by uncontrolled cell growth and spread.

Clinical: Medicine
Medicine / Oncology

Cancer is a group of diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body. It arises from genetic mutations that disrupt normal cellular processes.


Diabetes

A metabolic disorder characterized by high blood sugar levels.

Clinical: Medicine
Medicine / Endocrinology

Diabetes is a chronic condition where the body either doesn't produce enough insulin or can't effectively use the insulin it produces. This leads to elevated blood sugar levels, affecting various organs and systems.


Neurological disorders

Conditions affecting the nervous system.

Clinical: Medicine
Medicine / Neurology

Neurological disorders encompass a wide range of conditions that impact the brain, spinal cord, and peripheral nerves. They can cause symptoms such as seizures, paralysis, cognitive impairment, and sensory disturbances.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:33:49
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 19,207,806 22,675 847.09 0 hrs 2 mins
2 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 15,724,718 30,715 511.96 0 hrs 3 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 13,296,958 92,444 143.84 0 hrs 10 mins
4 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 11,207,476 92,329 121.39 0 hrs 12 mins
5 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 9,320,571 7,075 1317.40 0 hrs 1 mins
6 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 9,072,235 83,385 108.80 0 hrs 13 mins
7 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 7,870,329 71,043 110.78 0 hrs 13 mins
8 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,088,135 75,971 80.14 0 hrs 18 mins
9 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,668,314 69,683 66.99 0 hrs 21 mins
10 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,262,137 67,236 63.39 0 hrs 23 mins
11 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,860,116 58,502 48.89 0 hrs 29 mins
12 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,722,428 57,619 47.25 0 hrs 30 mins
13 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,362,003 54,752 43.14 0 hrs 33 mins
14 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,360,701 54,815 43.07 0 hrs 33 mins
15 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,201,239 52,334 42.06 0 hrs 34 mins
16 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,016,877 68,333 29.52 0 hrs 49 mins
17 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,963,839 7,075 277.57 0 hrs 5 mins
18 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,906,233 51,404 37.08 0 hrs 39 mins
19 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,511,969 47,585 31.77 0 hrs 45 mins
20 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,449,218 47,260 30.66 0 hrs 47 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:33:49
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make