RESEARCH: CANCER
FOLDING PROJECT #17767 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 187,712
Core: OPENMM_22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project looks at how proteins called secondary active transporters use ions to move molecules across cell membranes. These transporters are important for many processes in our bodies and are being studied as potential drug targets for diseases like cancer and diabetes.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Projects 17745-17750 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.

Scientific: Biotechnology
Membrane Transport / Cellular Biology

Secondary active transporters are crucial proteins found in all living organisms. They help move various molecules across cell membranes by using the energy stored in ion gradients. This process is vital for many cellular functions and plays a significant role in treating diseases like cancer, diabetes, and neurological disorders.


Ion Gradient

A difference in ion concentration across a cell membrane.

Scientific: Pharmaceutical Research
Membrane Transport / Biochemistry

An ion gradient is a difference in the concentration of electrically charged atoms (ions) across a cell membrane. This concentration difference creates potential energy that can be used by cells to power various processes, including the transport of molecules across membranes.


Simulations

Computer models used to study complex systems.

Technical: Biotechnology
Research / Computational Biology

Simulations are computer programs that mimic the behavior of real-world systems. In research, simulations are widely used to study complex biological processes, predict outcomes, and test hypotheses without conducting physical experiments.


Proteins

Large biomolecules essential for all living organisms.

Scientific: Biotechnology
Molecular Biology / Cellular Structure

Proteins are complex molecules that play vital roles in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.


Drug Targets

Molecules or pathways that are involved in disease processes and can be targeted by drugs.

Medical: Pharmaceutical Research
Pharmacology / Disease Treatment

Drug targets are specific molecules or cellular pathways involved in the development and progression of diseases. By targeting these molecules with drugs, researchers aim to inhibit or modulate their function and ultimately treat the disease.


Cancer

A group of diseases characterized by uncontrolled cell growth.

Medical: Healthcare
Oncology / Disease Pathology

Cancer is a group of diseases characterized by the abnormal and uncontrolled growth of cells. This uncontrolled growth can spread to other parts of the body, damaging tissues and organs.


Diabetes

A group of metabolic disorders characterized by high blood sugar levels.

Medical: Healthcare
Endocrinology / Metabolic Disorders

Diabetes is a group of metabolic disorders that affect how the body regulates blood sugar (glucose). In diabetes, either the body doesn't produce enough insulin, or it can't effectively use the insulin it produces. This leads to high blood sugar levels, which can damage various organs and tissues.


Neurological Disorders

A range of disorders that affect the brain, spinal cord, or nerves.

Medical: Healthcare
Neurology / Brain and Nervous System Diseases

Neurological disorders encompass a wide range of conditions that affect the brain, spinal cord, and nerves. These disorders can cause a variety of symptoms, such as weakness, numbness, pain, seizures, and cognitive impairment.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:35:48
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 8,292,527 232,014 35.74 0 hrs 40 mins
2 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,810,459 228,910 34.12 0 hrs 42 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,100,080 216,334 32.82 0 hrs 44 mins
4 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 6,386,844 214,373 29.79 0 hrs 48 mins
5 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,033,498 197,046 25.54 0 hrs 56 mins
6 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,960,069 197,061 25.17 0 hrs 57 mins
7 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 4,921,973 196,386 25.06 0 hrs 57 mins
8 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,823,890 195,507 24.67 0 hrs 58 mins
9 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,166,844 186,387 22.36 1 hrs 4 mins
10 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,174,381 156,121 20.33 1 hrs 11 mins
11 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,165,035 170,147 18.60 1 hrs 17 mins
12 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,654,840 160,494 16.54 1 hrs 27 mins
13 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,567,872 158,496 16.20 1 hrs 29 mins
14 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,394,743 135,974 17.61 1 hrs 22 mins
15 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,205,403 151,440 14.56 1 hrs 39 mins
16 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,646,105 136,693 12.04 1 hrs 60 mins
17 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,512,484 133,692 11.31 2 hrs 7 mins
18 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 1,436,009 130,811 10.98 2 hrs 11 mins
19 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,221,567 95,783 12.75 1 hrs 53 mins
20 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,199,752 122,972 9.76 2 hrs 28 mins
21 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,184,073 122,807 9.64 2 hrs 29 mins
22 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,153,565 122,877 9.39 2 hrs 33 mins
23 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 763,910 106,536 7.17 3 hrs 21 mins
24 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 699,337 102,890 6.80 3 hrs 32 mins
25 Radeon R9 Fury X
Fiji XT [Radeon R9 Fury X]
AMD Fiji XT 674,995 101,562 6.65 3 hrs 37 mins
26 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 603,101 96,149 6.27 3 hrs 50 mins
27 Radeon VII
Vega 20 [Radeon VII] 13,284
AMD Vega 20 594,837 97,691 6.09 3 hrs 56 mins
28 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 556,757 95,485 5.83 4 hrs 7 mins
29 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 488,202 91,158 5.36 4 hrs 29 mins
30 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 417,839 51,648 8.09 2 hrs 58 mins
31 Radeon RX 6600/6600 XT/6600M
Navi 23 [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 375,174 84,506 4.44 5 hrs 24 mins
32 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 353,669 82,080 4.31 5 hrs 34 mins
33 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 285,177 76,778 3.71 6 hrs 28 mins
34 Radeon RX Vega M XT/ M GH
[Radeon RX Vega M XT/ M GH]
AMD 241,158 68,825 3.50 6 hrs 51 mins
35 GeForce GTX 770
GK104 [GeForce GTX 770] 3213
Nvidia GK104 123,897 57,789 2.14 11 hrs 12 mins
36 Radeon Vega Series / Radeon Vega Mobile Series
Raven Ridge [Radeon Vega Series / Radeon Vega Mobile Series]
AMD Raven Ridge 62,561 46,082 1.36 17 hrs 41 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:35:48
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make