RESEARCH: CANCER
FOLDING PROJECT #17778 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 103,413
Core: OPENMM_22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project looks at how proteins use energy from ions to move molecules across cell membranes. These proteins are found everywhere and help with important things like fighting disease. Studying them can teach us about how different proteins work together.

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.

Secondary active transporter

Proteins that use ion gradients to transport molecules across cell membranes.

Technical: Biotechnology
Molecular Biology / Membrane Transport

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


Ion gradient

A difference in concentration of ions across a membrane.

Scientific: Biotechnology
Physiology / Cellular Transport

An ion gradient refers to the uneven distribution of charged particles (ions) across a cell membrane. This concentration difference creates an electrochemical potential that drives various cellular processes, including secondary active transport. The movement of ions down their concentration gradient generates energy used by transporters to move molecules against their concentration gradient.


Molecules

The basic units of matter.

Scientific: Pharmaceuticals
Chemistry / Biochemistry

Molecules are formed when two or more atoms bond together. They are the fundamental building blocks of all matter, including living organisms. In biology, molecules play crucial roles in various cellular processes, such as DNA replication, protein synthesis, and energy production.


Cell membrane

A thin layer that surrounds a cell.

Scientific: Biotechnology
Biology / Cellular Structure

The cell membrane is a selectively permeable barrier that encloses the contents of a cell. It regulates the passage of molecules in and out of the cell, maintaining cellular homeostasis. Composed primarily of phospholipids and proteins, the cell membrane plays a vital role in cell signaling, nutrient uptake, and waste removal.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:35:31
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 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,209,481 175,230 41.14 0 hrs 35 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,952,383 171,496 40.54 0 hrs 36 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,249,744 166,799 37.47 0 hrs 38 mins
4 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,459,453 149,197 29.89 0 hrs 48 mins
5 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,850,775 142,386 27.04 0 hrs 53 mins
6 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,447,228 136,409 25.27 0 hrs 57 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,178,165 129,803 24.48 0 hrs 59 mins
8 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,125,642 133,852 23.35 1 hrs 2 mins
9 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,096,734 132,881 23.30 1 hrs 2 mins
10 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,518,597 123,868 20.33 1 hrs 11 mins
11 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,444,325 121,650 20.09 1 hrs 12 mins
12 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,825,680 111,276 16.41 1 hrs 28 mins
13 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,807,813 110,186 16.41 1 hrs 28 mins
14 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,470,118 103,793 14.16 1 hrs 42 mins
15 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,431,194 103,246 13.86 1 hrs 44 mins
16 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,017,436 90,647 11.22 2 hrs 8 mins
17 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 863,706 85,094 10.15 2 hrs 22 mins
18 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 811,833 85,505 9.49 2 hrs 32 mins
19 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 677,037 78,319 8.64 2 hrs 47 mins
20 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 551,630 74,911 7.36 3 hrs 16 mins
21 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 412,722 67,670 6.10 3 hrs 56 mins
22 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 357,205 64,953 5.50 4 hrs 22 mins
23 Radeon RX 6600/6600 XT/6600M
Navi 23 [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 287,863 60,237 4.78 5 hrs 1 mins
24 Radeon RX 460
Baffin XT [Radeon RX 460]
AMD Baffin XT 129,744 46,166 2.81 8 hrs 32 mins
25 Radeon RX 6400 / 6500 XT
Navi 24 [Radeon RX 6400 / 6500 XT]
AMD Navi 24 125,514 45,682 2.75 8 hrs 44 mins
26 Radeon HD 7800 Series
Pitcairn PRO [Radeon HD 7800 Series]
AMD Pitcairn PRO 91,300 41,278 2.21 10 hrs 51 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:35:31
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make