RESEARCH: CANCER
FOLDING PROJECT #17728 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 76,376
Core: OPENMM_22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project looks at how special proteins use energy from ions to move molecules across cell membranes. These proteins are found everywhere and are important for things like fighting cancer, diabetes, and brain disorders. By studying them, we can learn more about how cells work and how to develop new medicines.

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 transporter

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

scientific: pharmaceuticals
biotechnology / molecular biology

Secondary active transporters are crucial proteins found in all living organisms. They utilize the energy stored in an ion gradient to move various molecules across cell membranes. This process is essential for numerous cellular functions, including nutrient uptake, waste removal, and signal transduction. These transporters are often targets for drugs used to treat diseases like cancer, diabetes, and neurological disorders.


ion gradient

A difference in concentration of ions across a membrane.

scientific: pharmaceuticals
biotechnology / cellular biology

An ion gradient is the uneven distribution of charged particles (ions) across a cell membrane. This difference in concentration creates an electrochemical potential that can be harnessed by cells to perform various functions. For example, secondary active transporters utilize ion gradients to move molecules against their concentration gradient.


proteins

Large, complex molecules that perform a wide range of functions in living organisms.

scientific: pharmaceuticals
biotechnology / molecular biology

Proteins are the workhorses of the cell, carrying out essential tasks such as catalyzing reactions, transporting molecules, providing structural support, and regulating cellular processes. They are made up of chains of amino acids, folded into complex three-dimensional structures that determine their specific function.


cell membranes

Thin, flexible barriers that surround cells and regulate the passage of substances in and out.

scientific: pharmaceuticals
biotechnology / cellular biology

Cell membranes are composed of a lipid bilayer with embedded proteins. They act as selective barriers, controlling the movement of molecules across them. This regulation is essential for maintaining cellular homeostasis and carrying out vital functions.


simulations

Computer models used to study and predict the behavior of complex systems.

scientific: pharmaceuticals
biotechnology / computational biology

Simulations are powerful tools used in various fields, including biotechnology, to understand complex phenomena. By creating computer models that mimic real-world processes, researchers can explore different scenarios and gain insights into how systems behave.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:36:31
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 7,079,934 108,143 65.47 0 hrs 22 mins
2 GeForce RTX 3080 10GB / 20GB
GA102 [GeForce RTX 3080 10GB / 20GB]
Nvidia GA102 5,442,392 100,687 54.05 0 hrs 27 mins
3 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,080,065 97,751 51.97 0 hrs 28 mins
4 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,277,246 93,273 45.86 0 hrs 31 mins
5 Quadro RTX 6000/8000
TU102GL [Quadro RTX 6000/8000]
Nvidia TU102GL 3,999,472 90,565 44.16 0 hrs 33 mins
6 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,319,251 85,176 38.97 0 hrs 37 mins
7 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,209,296 84,486 37.99 0 hrs 38 mins
8 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 3,167,339 84,275 37.58 0 hrs 38 mins
9 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 3,008,498 82,318 36.55 0 hrs 39 mins
10 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,909,995 81,614 35.66 0 hrs 40 mins
11 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,490,907 77,271 32.24 0 hrs 45 mins
12 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A] M 7465
Nvidia TU106 2,365,421 76,877 30.77 0 hrs 47 mins
13 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,365,363 76,404 30.96 0 hrs 47 mins
14 GeForce RTX 2080 SUPER Mobile / Max-Q
TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q]
Nvidia TU104M 2,291,196 75,122 30.50 0 hrs 47 mins
15 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,112,241 73,532 28.73 0 hrs 50 mins
16 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,961,424 73,504 26.68 0 hrs 54 mins
17 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 1,959,935 71,926 27.25 0 hrs 53 mins
18 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,779,723 69,810 25.49 0 hrs 56 mins
19 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,548,249 66,302 23.35 1 hrs 2 mins
20 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,304,469 62,646 20.82 1 hrs 9 mins
21 GeForce RTX 2070
TU106 [GeForce RTX 2070] M 6497
Nvidia TU106 1,256,190 60,806 20.66 1 hrs 10 mins
22 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,249,228 62,422 20.01 1 hrs 12 mins
23 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 1,184,168 61,355 19.30 1 hrs 15 mins
24 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,137,758 60,128 18.92 1 hrs 16 mins
25 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,132,427 60,291 18.78 1 hrs 17 mins
26 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,113,101 59,709 18.64 1 hrs 17 mins
27 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 904,588 55,666 16.25 1 hrs 29 mins
28 P104-100
GP104 [P104-100]
Nvidia GP104 768,468 52,761 14.57 1 hrs 39 mins
29 Radeon RX 5600 OEM/5600 XT/5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]
AMD Navi 10 759,641 52,669 14.42 1 hrs 40 mins
30 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 663,019 50,252 13.19 1 hrs 49 mins
31 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 590,678 48,508 12.18 1 hrs 58 mins
32 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 520,515 46,566 11.18 2 hrs 9 mins
33 P106-100
GP106 [P106-100]
Nvidia GP106 468,212 44,855 10.44 2 hrs 18 mins
34 Quadro T2000 Mobile / Max-Q
TU117GLM [Quadro T2000 Mobile / Max-Q]
Nvidia TU117GLM 467,920 44,678 10.47 2 hrs 17 mins
35 GeForce GTX 1650
TU116 [GeForce GTX 1650] 2984
Nvidia TU116 389,499 42,081 9.26 2 hrs 36 mins
36 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 303,415 38,885 7.80 3 hrs 5 mins
37 P106-090
GP106 [P106-090]
Nvidia GP106 240,384 35,885 6.70 3 hrs 35 mins
38 GeForce GTX 1050 Ti Mobile
GP107M [GeForce GTX 1050 Ti Mobile]
Nvidia GP107M 194,581 33,521 5.80 4 hrs 8 mins
39 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 153,877 30,390 5.06 4 hrs 44 mins
40 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 113,427 27,631 4.11 5 hrs 51 mins
41 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 113,055 27,964 4.04 5 hrs 56 mins
42 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 86,408 25,620 3.37 7 hrs 7 mins
43 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 74,237 24,309 3.05 7 hrs 52 mins
44 GTX 650 Ti Boost
GK106 [GTX 650 Ti Boost]
Nvidia GK106 65,894 21,237 3.10 7 hrs 44 mins
45 Quadro K620
GM107GL [Quadro K620]
Nvidia GM107GL 47,857 21,071 2.27 10 hrs 34 mins
46 GeForce MX130
GM108M [GeForce MX130]
Nvidia GM108M 42,533 19,871 2.14 11 hrs 13 mins
47 GeForce GTX 670M
GF114 [GeForce GTX 670M]
Nvidia GF114 10,109 10,544 0.96 25 hrs 2 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:36:31
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make