RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17920 PROFILE

PROJECT TEAM

Manager(s): Austin Weigle
Institution: University of Illinois at Urbana-Champaign
Project URL: View Project Website

WORK UNIT INFO

Atoms: 65,919
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how sugar transporters work. These transporters move different types of sugars into and out of cells. By studying them, scientists can learn how they recognize different molecules, even ones that aren't sugar. This knowledge can be used to design new drugs that target specific transporters.

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

OFFICAL PROJECT DESCRIPTION

Membrane transporters are important for enabling molecules to go in and out of cells.

What is interesting is that while transporters typically have set functions, they can also transport molecules that do not necessarily relate to their function or cellular purpose.

For example, drugs often hijack transporters to enter cells without necessarily resembling the molecules or metabolites which that target transporter normally transports.

The goal of this project is to see how exactly a typical membrane transporter recognizes and transports molecules that look different from one another.

We choose a class of sugar transporters that transports a variety of different types of substrates to satisfy this goal.

Findings from this study can be generalized for the design of molecules (e.g., drugs) specific to a given transporter and its general mechanism.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

Membrane transporters

Proteins embedded in cell membranes that facilitate the movement of molecules across.

Scientific: Biotechnology, Medicine
Cellular Biology / Transport Processes

Membrane transporters are crucial proteins found within cell membranes. They act like gateways, allowing specific molecules to enter or exit the cell. This process is essential for various cellular functions, including nutrient uptake, waste removal, and signal transduction.


Drugs

Chemical substances used to treat, cure, or prevent diseases.

Pharmaceutical: Pharmaceuticals
Medicine / Drug Discovery & Development

Drugs are medicinal compounds designed to have a specific effect on the body. They can target various biological processes to alleviate symptoms, fight infections, or manage chronic conditions.


Molecules

The fundamental building blocks of matter, composed of atoms bonded together.

Scientific: Medicine, Biotechnology
Chemistry / Biochemistry

Molecules are the basic units that make up all substances. They consist of two or more atoms linked together by chemical bonds. Examples include water (H2O), oxygen (O2), and glucose (C6H12O6).


Substrate

A substance upon which an enzyme acts.

Scientific: Medicine, Biotechnology
Biochemistry / Enzymology

In biochemistry, a substrate is the molecule that an enzyme binds to and acts upon. The enzyme catalyzes (speeds up) a chemical reaction involving the substrate, converting it into products.


Transporter

A protein that facilitates the movement of molecules across a cell membrane.

Scientific: Biotechnology, Medicine
Cellular Biology / Transport Processes

Transporters are specialized proteins embedded in cell membranes. They play a vital role in moving various substances into and out of cells, ensuring proper cellular function.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:34:17
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 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 15,436,275 347,722 44.39 0 hrs 32 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 12,993,995 335,410 38.74 0 hrs 37 mins
3 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 10,396,818 310,774 33.45 0 hrs 43 mins
4 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,261,985 276,972 26.22 0 hrs 55 mins
5 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,235,381 273,970 26.41 0 hrs 55 mins
6 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,746,011 267,829 25.19 0 hrs 57 mins
7 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 6,382,444 263,163 24.25 0 hrs 59 mins
8 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,053,042 255,360 23.70 1 hrs 1 mins
9 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 6,022,041 254,247 23.69 1 hrs 1 mins
10 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,315,127 250,285 21.24 1 hrs 8 mins
11 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,012,294 244,762 20.48 1 hrs 10 mins
12 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,881,386 243,527 20.04 1 hrs 12 mins
13 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,695,893 238,634 19.68 1 hrs 13 mins
14 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,891,093 221,856 17.54 1 hrs 22 mins
15 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,186,382 211,659 15.05 1 hrs 36 mins
16 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,126,206 208,236 15.01 1 hrs 36 mins
17 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,087,681 208,009 14.84 1 hrs 37 mins
18 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,986,777 205,768 14.52 1 hrs 39 mins
19 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 2,904,085 204,517 14.20 1 hrs 41 mins
20 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,896,674 201,675 14.36 1 hrs 40 mins
21 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 2,568,799 195,992 13.11 1 hrs 50 mins
22 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,563,927 196,187 13.07 1 hrs 50 mins
23 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,535,922 194,818 13.02 1 hrs 51 mins
24 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,469,535 193,454 12.77 1 hrs 53 mins
25 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,175,457 185,803 11.71 2 hrs 3 mins
26 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,112,722 185,527 11.39 2 hrs 6 mins
27 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 2,053,832 181,056 11.34 2 hrs 7 mins
28 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,867,740 170,359 10.96 2 hrs 11 mins
29 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,859,192 175,464 10.60 2 hrs 16 mins
30 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,688,725 162,855 10.37 2 hrs 19 mins
31 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,433,761 161,354 8.89 2 hrs 42 mins
32 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,408,671 161,134 8.74 2 hrs 45 mins
33 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,397,232 157,002 8.90 2 hrs 42 mins
34 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,335,016 157,090 8.50 2 hrs 49 mins
35 Radeon VII
Vega 20 [Radeon VII]
AMD Vega 20 1,300,246 148,411 8.76 2 hrs 44 mins
36 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,269,934 155,787 8.15 2 hrs 57 mins
37 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,182,064 150,347 7.86 3 hrs 3 mins
38 Geforce RTX 3070 Ti Laptop GPU
GA104 [Geforce RTX 3070 Ti Laptop GPU]
Nvidia GA104 1,080,608 145,066 7.45 3 hrs 13 mins
39 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 691,994 116,562 5.94 4 hrs 3 mins
40 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 581,688 124,008 4.69 5 hrs 7 mins
41 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 565,585 118,441 4.78 5 hrs 2 mins
42 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 496,221 119,028 4.17 5 hrs 45 mins
43 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 283,108 91,643 3.09 7 hrs 46 mins
44 GeForce MX450
TU117M [GeForce MX450]
Nvidia TU117M 262,478 92,148 2.85 8 hrs 26 mins
45 Tesla K40m
GK110 [Tesla K40m] 5046
Nvidia GK110 229,380 93,250 2.46 9 hrs 45 mins
46 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 138,061 73,802 1.87 12 hrs 50 mins
47 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 136,009 83,171 1.64 14 hrs 41 mins
48 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 100,795 66,506 1.52 15 hrs 50 mins
49 Radeon RX 460/560D
Baffin [Radeon RX 460/560D]
AMD Baffin 73,464 68,121 1.08 22 hrs 15 mins
50 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 69,591 56,596 1.23 19 hrs 31 mins
51 GeForce GT 730
GK208B [GeForce GT 730] 692.7
Nvidia GK208B 25,711 44,485 0.58 41 hrs 31 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:34:17
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make