RESEARCH: CANCER
FOLDING PROJECT #17781 PROFILE

PROJECT TEAM

Manager(s): Matthew Chan
Institution: University of Illinois at Urbana-Champaign

WORK UNIT INFO

Atoms: 90,871
Core: OPENMM_22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

The project relates to how proteins use ion energy to move molecules across cell membranes. These transporters are important for many bodily functions and are even drug targets. Studying them will help us understand how they work across different types of proteins.

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 mechanisms behind a molecule's function.

Technical: Biotechnology
Biochemistry / Protein Structure

Molecular basis refers to the underlying structures and interactions within a molecule that determine its behavior and role. In biology, this is crucial for understanding how proteins, DNA, and other molecules work.


Secondary active transporters

Proteins that use an ion gradient to transport molecules across cell membranes.

Scientific: Pharmacology
Cellular Biology / Membrane Transport

Secondary active transporters are essential proteins found in all living organisms. They work by harnessing the energy stored in an ion concentration gradient to move other molecules across cell membranes. This process is vital for various cellular functions, including nutrient uptake and waste removal.


Ion

An atom or molecule with a net electrical charge.

Scientific: Medicine
Biochemistry / Electrochemistry

Ions are atoms or molecules that have gained or lost electrons, giving them a positive or negative charge. They play crucial roles in many biological processes, including nerve impulse transmission and muscle contraction.


Simulations

Computer-based models used to mimic real-world phenomena.

Technical: Biotechnology
Computational Biology / Molecular Modeling

Simulations are powerful tools in scientific research. By creating virtual environments and running experiments within them, scientists can study complex systems like proteins or cellular processes without needing physical lab work.


Drug targets

Molecules or pathways that are potential therapeutic targets.

Scientific: Biotechnology
Pharmacology / Drug Discovery

Drug targets are specific molecules or cellular processes involved in disease development. By understanding these targets, scientists can design drugs that interfere with their function and treat the underlying condition.


Cancer

A group of diseases involving abnormal cell growth and proliferation.

Pathological: Medicine
Oncology / Tumor Biology

Cancer is a complex group of diseases characterized by uncontrolled cell division. These abnormal cells can invade surrounding tissues and spread to other parts of the body, leading to severe health complications.


Diabetes

A metabolic disorder affecting blood sugar regulation.

Pathological: Medicine
Endocrinology / Metabolic Disorders

Diabetes is a chronic disease that affects how the body regulates blood sugar. It occurs when the pancreas doesn't produce enough insulin (Type 1 diabetes) or when the body becomes resistant to insulin (Type 2 diabetes). This can lead to high blood sugar levels, causing various complications.


Neurological disorders

Conditions affecting the nervous system.

Pathological: Medicine
Neuroscience / Neurodegenerative Diseases

Neurological disorders encompass a wide range of conditions that affect the brain, spinal cord, and nerves. These can include Alzheimer's disease, Parkinson's disease, stroke, epilepsy, and multiple sclerosis.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:35:27
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 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,037,855 145,085 48.51 0 hrs 30 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,959,801 145,933 47.69 0 hrs 30 mins
3 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,165,360 132,102 39.10 0 hrs 37 mins
4 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,616,310 128,109 36.03 0 hrs 40 mins
5 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 4,123,126 124,076 33.23 0 hrs 43 mins
6 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,855,347 120,480 32.00 0 hrs 45 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,667,023 118,838 30.86 0 hrs 47 mins
8 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,059,450 111,503 27.44 0 hrs 52 mins
9 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,684,497 107,731 24.92 0 hrs 58 mins
10 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,575,963 103,722 24.84 0 hrs 58 mins
11 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,497,751 104,073 24.00 1 hrs 0 mins
12 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,921,351 95,622 20.09 1 hrs 12 mins
13 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 1,498,217 88,436 16.94 1 hrs 25 mins
14 Radeon RX 6700/6700 XT / 6800M
Navi 22 [Radeon RX 6700/6700 XT / 6800M]
AMD Navi 22 1,475,644 87,885 16.79 1 hrs 26 mins
15 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 1,277,022 83,474 15.30 1 hrs 34 mins
16 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,197,830 79,479 15.07 1 hrs 36 mins
17 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,184,373 81,215 14.58 1 hrs 39 mins
18 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,137,098 79,837 14.24 1 hrs 41 mins
19 Radeon RX 5600 OEM/5600 XT/5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]
AMD Navi 10 1,082,293 78,909 13.72 1 hrs 45 mins
20 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 443,575 58,333 7.60 3 hrs 9 mins
21 GeForce GTX 980M
GM204 [GeForce GTX 980M] 3189
Nvidia GM204 325,645 53,284 6.11 3 hrs 56 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:35:27
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make