RESEARCH: CANCER
FOLDING PROJECT #17729 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 121,449
Core: OPENMM_22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

The project relates to studying how proteins move molecules across cell membranes using energy from ions. These proteins are important for many bodily functions and are targets for drugs treating diseases like cancer and diabetes. Simulations will help us understand how these proteins work across different types of cells.

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

OFFICAL PROJECT DESCRIPTION

Projects 17711-17724 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 disease like cancer, diabetes, and neurological disorders.

These simulations 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 / Biochemistry

Secondary active transporters are essential proteins found in all living organisms. They use the energy from an ion gradient to move different molecules across cell membranes. This process is vital for many cellular functions, including nutrient uptake, waste removal, and signal transduction. Many secondary active transporters are targets for drugs used to treat diseases like cancer, diabetes, and neurological disorders.


Ion gradient

A difference in ion concentration across a cell membrane.

Scientific: Pharmacology
Membrane Transport / Biochemistry

An ion gradient refers to an uneven distribution of charged ions (like sodium or potassium) across a cell membrane. This difference in concentration creates an electrical potential that can be used to power cellular processes, such as nerve impulse transmission and muscle contraction.


Cell membranes

The outer boundary of a cell that separates its internal environment from the outside.

Scientific: Medicine
Cellular Biology / Biochemistry

Cell membranes are thin, flexible barriers that surround all living cells. They are composed primarily of lipids and proteins and play a crucial role in regulating what enters and exits the cell. This selective permeability is essential for maintaining cellular homeostasis and function.


Proteins

Large complex molecules essential for virtually all biological processes.

Scientific: Biotechnology
Biochemistry / Molecular Biology

Proteins are the workhorses of cells, carrying out a wide range of functions including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes. They are composed of chains of amino acids folded into specific three-dimensional shapes that determine their function.


Drug targets

Molecules or biological processes that are targeted by drugs to treat diseases.

Scientific: Pharmaceutical
Pharmacology / Drug Development

Drug targets are specific molecules or pathways involved in disease processes. By inhibiting or activating these targets, drugs can modulate cellular functions and alleviate symptoms. Identifying effective drug targets is crucial for developing new therapies.


Cancer

Uncontrolled growth and spread of abnormal cells.

Medical: Healthcare
Oncology / Disease Pathology

Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. These cells can invade surrounding tissues and metastasize to distant organs, leading to various complications. Cancer treatment often involves surgery, chemotherapy, radiation therapy, or immunotherapy.


Diabetes

Metabolic disorder characterized by high blood sugar levels.

Medical: Healthcare
Endocrinology / Disease Pathology

Diabetes is a chronic metabolic disorder characterized by elevated blood sugar levels. It occurs when the body either doesn't produce enough insulin or can't effectively use the insulin it produces. Insulin is a hormone that regulates blood sugar levels. Diabetes can lead to various complications, including heart disease, stroke, blindness, and nerve damage.


Neurological disorders

Conditions affecting the nervous system.

Medical: Healthcare
Neurology / Disease Pathology

Neurological disorders encompass a wide range of conditions affecting the brain, spinal cord, and peripheral nerves. They can manifest as cognitive impairments, movement disorders, sensory disturbances, or emotional changes. Examples include Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:36:30
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 7,311,637 129,718 56.37 0 hrs 26 mins
2 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,391,128 120,974 44.56 0 hrs 32 mins
3 GeForce RTX 3080 10GB / 20GB
GA102 [GeForce RTX 3080 10GB / 20GB]
Nvidia GA102 4,868,013 109,452 44.48 0 hrs 32 mins
4 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,238,967 113,187 37.45 0 hrs 38 mins
5 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,220,325 112,347 37.57 0 hrs 38 mins
6 Quadro RTX 6000/8000
TU102GL [Quadro RTX 6000/8000]
Nvidia TU102GL 4,185,202 113,330 36.93 0 hrs 39 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,168,041 101,611 31.18 0 hrs 46 mins
8 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,092,420 100,591 30.74 0 hrs 47 mins
9 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 3,035,293 100,786 30.12 0 hrs 48 mins
10 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,832,982 97,527 29.05 0 hrs 50 mins
11 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,792,799 97,122 28.76 0 hrs 50 mins
12 GeForce RTX 2070
TU106 [GeForce RTX 2070] M 6497
Nvidia TU106 2,666,003 95,655 27.87 0 hrs 52 mins
13 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,572,244 93,062 27.64 0 hrs 52 mins
14 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A] M 7465
Nvidia TU106 2,377,760 92,501 25.71 0 hrs 56 mins
15 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,161,124 89,516 24.14 0 hrs 60 mins
16 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,150,406 89,482 24.03 0 hrs 60 mins
17 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,000,318 86,900 23.02 1 hrs 3 mins
18 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 1,831,927 83,624 21.91 1 hrs 6 mins
19 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,815,544 84,465 21.49 1 hrs 7 mins
20 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,751,205 82,428 21.25 1 hrs 8 mins
21 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 1,592,846 81,062 19.65 1 hrs 13 mins
22 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,346,753 77,341 17.41 1 hrs 23 mins
23 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,332,293 76,543 17.41 1 hrs 23 mins
24 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,180,982 73,541 16.06 1 hrs 30 mins
25 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,168,184 73,455 15.90 1 hrs 31 mins
26 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 1,123,543 72,509 15.50 1 hrs 33 mins
27 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,084,626 71,417 15.19 1 hrs 35 mins
28 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 957,900 68,179 14.05 1 hrs 42 mins
29 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 922,394 67,782 13.61 1 hrs 46 mins
30 P104-100
GP104 [P104-100]
Nvidia GP104 827,786 65,382 12.66 1 hrs 54 mins
31 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 776,866 63,817 12.17 1 hrs 58 mins
32 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 623,196 59,356 10.50 2 hrs 17 mins
33 Radeon RX 5600 OEM/5600 XT/5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]
AMD Navi 10 523,548 54,130 9.67 2 hrs 29 mins
34 P106-100
GP106 [P106-100]
Nvidia GP106 506,603 55,536 9.12 2 hrs 38 mins
35 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 485,754 54,820 8.86 2 hrs 43 mins
36 Quadro T2000 Mobile / Max-Q
TU117GLM [Quadro T2000 Mobile / Max-Q]
Nvidia TU117GLM 458,281 53,568 8.56 2 hrs 48 mins
37 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 451,703 47,151 9.58 2 hrs 30 mins
38 Radeon R9 200/300 Series
Hawaii [Radeon R9 200/300 Series]
AMD Hawaii 438,227 52,995 8.27 2 hrs 54 mins
39 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 434,525 51,801 8.39 2 hrs 52 mins
40 GeForce GTX 1650
TU116 [GeForce GTX 1650] 2984
Nvidia TU116 385,340 50,355 7.65 3 hrs 8 mins
41 Radeon R9 200/300X Series
Hawaii [Radeon R9 200/300X Series]
AMD Hawaii 350,195 49,113 7.13 3 hrs 22 mins
42 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 288,500 41,900 6.89 3 hrs 29 mins
43 Radeon R9 280/HD 7900/8950
Tahiti PRO [Radeon R9 280/HD 7900/8950]
AMD Tahiti PRO 222,006 42,315 5.25 4 hrs 34 mins
44 P106-090
GP106 [P106-090]
Nvidia GP106 221,767 42,135 5.26 4 hrs 34 mins
45 GeForce GTX 1050 Ti Mobile
GP107M [GeForce GTX 1050 Ti Mobile]
Nvidia GP107M 212,220 41,670 5.09 4 hrs 43 mins
46 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 160,612 31,888 5.04 4 hrs 46 mins
47 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 157,256 36,909 4.26 5 hrs 38 mins
48 Radeon RX Vega M XL
[Radeon RX Vega M XL]
AMD Vega 118,000 33,904 3.48 6 hrs 54 mins
49 Radeon HD 7800
Pitcairn [Radeon HD 7800]
AMD Pitcairn 114,438 33,922 3.37 7 hrs 7 mins
50 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 114,207 33,870 3.37 7 hrs 7 mins
51 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 109,727 33,516 3.27 7 hrs 20 mins
52 GeForce GTX 660
GK106 [GeForce GTX 660]
Nvidia GK106 107,261 33,160 3.23 7 hrs 25 mins
53 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 103,047 32,464 3.17 7 hrs 34 mins
54 GeForce GTX 960M
GM107 [GeForce GTX 960M] 1439
Nvidia GM107 102,792 31,852 3.23 7 hrs 26 mins
55 Radeon RX 460
Baffin XT [Radeon RX 460]
AMD Baffin XT 99,379 32,050 3.10 7 hrs 44 mins
56 GeForce GTX 760
GK104 [GeForce GTX 760] 2258
Nvidia GK104 98,762 30,488 3.24 7 hrs 25 mins
57 Radeon RX 5500/5500M / Pro 5500M
Navi 14 [Radeon RX 5500/5500M / Pro 5500M]
AMD Navi 14 86,521 26,537 3.26 7 hrs 22 mins
58 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 81,931 30,353 2.70 8 hrs 53 mins
59 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 74,074 29,329 2.53 9 hrs 30 mins
60 GTX 650 Ti Boost
GK106 [GTX 650 Ti Boost]
Nvidia GK106 62,757 24,828 2.53 9 hrs 30 mins
61 Radeon R7 250/HD 7700
R575A [Radeon R7 250/HD 7700]
AMD R575A 21,630 16,647 1.30 18 hrs 28 mins
62 GeForce GTX 670M
GF114 [GeForce GTX 670M]
Nvidia GF114 10,243 12,850 0.80 30 hrs 7 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:36:30
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make