RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17921 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 in cells move different types of molecules, even those that don't seem related. Understanding this could help scientists design new drugs that specifically target certain 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 the membrane.

Technical: Biotechnology
Cellular biology / Transport

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


Drugs

Substances used to treat, cure, or prevent diseases.

Scientific: Medicine
Pharmacology / Drug action

Drugs are chemical compounds designed to interact with biological systems and produce a desired effect. They can be used to treat various conditions, from infections to chronic illnesses, by targeting specific receptors or pathways in the body.


Molecules

Atoms or groups of atoms held together by chemical bonds.

Scientific: Biotechnology
Chemistry / Structural units

Molecules are the building blocks of matter. They are formed when two or more atoms bond together. Molecules can be simple or complex, and they play essential roles in various biological and chemical processes.


Substrates

Substances that undergo a chemical reaction catalyzed by an enzyme.

Technical: Medicine
Biochemistry / Enzymatic reactions

Substrates are the molecules that enzymes act upon. Enzymes are proteins that speed up chemical reactions in living organisms. Substrates bind to the active site of an enzyme, where the chemical reaction takes place.


Transporters

Proteins that facilitate the movement of molecules across cell membranes.

Technical: Biotechnology
Cellular biology / Transport

Transporters are essential proteins found in cell membranes. They help move various molecules into and out of the cell, ensuring proper cellular function. Different types of transporters exist for specific molecules or groups of molecules.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:34:16
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 14,225,966 335,949 42.35 0 hrs 34 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 13,049,862 336,075 38.83 0 hrs 37 mins
3 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 10,030,325 306,724 32.70 0 hrs 44 mins
4 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,131,745 273,384 26.09 0 hrs 55 mins
5 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,062,494 273,889 25.79 0 hrs 56 mins
6 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,002,452 272,215 25.72 0 hrs 56 mins
7 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,035,646 259,659 23.24 1 hrs 2 mins
8 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 5,959,587 253,769 23.48 1 hrs 1 mins
9 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,137,811 247,317 20.77 1 hrs 9 mins
10 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,927,099 243,061 20.27 1 hrs 11 mins
11 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,789,642 241,781 19.81 1 hrs 13 mins
12 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,283,374 231,868 18.47 1 hrs 18 mins
13 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,870,534 222,487 17.40 1 hrs 23 mins
14 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,249,817 212,494 15.29 1 hrs 34 mins
15 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,126,564 207,912 15.04 1 hrs 36 mins
16 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 3,064,925 206,830 14.82 1 hrs 37 mins
17 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,047,829 206,438 14.76 1 hrs 38 mins
18 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,948,136 204,098 14.44 1 hrs 40 mins
19 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 2,855,883 203,368 14.04 1 hrs 43 mins
20 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 2,542,634 194,885 13.05 1 hrs 50 mins
21 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 2,495,990 193,586 12.89 1 hrs 52 mins
22 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,453,022 192,426 12.75 1 hrs 53 mins
23 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,440,227 192,371 12.69 1 hrs 54 mins
24 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,217,499 186,937 11.86 2 hrs 1 mins
25 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,105,009 182,314 11.55 2 hrs 5 mins
26 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,977,343 179,071 11.04 2 hrs 10 mins
27 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,929,517 176,171 10.95 2 hrs 11 mins
28 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,814,413 173,654 10.45 2 hrs 18 mins
29 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,643,023 165,292 9.94 2 hrs 25 mins
30 Geforce RTX 3070 Ti Laptop GPU
GA104 [Geforce RTX 3070 Ti Laptop GPU]
Nvidia GA104 1,438,561 160,557 8.96 2 hrs 41 mins
31 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,398,080 159,713 8.75 2 hrs 45 mins
32 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,344,480 154,226 8.72 2 hrs 45 mins
33 Radeon VII
Vega 20 [Radeon VII]
AMD Vega 20 1,323,509 153,849 8.60 2 hrs 47 mins
34 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,323,502 157,192 8.42 2 hrs 51 mins
35 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,302,771 156,166 8.34 2 hrs 53 mins
36 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,207,364 152,612 7.91 3 hrs 2 mins
37 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,165,108 149,635 7.79 3 hrs 5 mins
38 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,077,392 147,251 7.32 3 hrs 17 mins
39 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,017,819 134,663 7.56 3 hrs 11 mins
40 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 801,979 132,364 6.06 3 hrs 58 mins
41 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 618,137 127,248 4.86 4 hrs 56 mins
42 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 539,234 120,714 4.47 5 hrs 22 mins
43 P106-090
GP106 [P106-090]
Nvidia GP106 257,674 90,955 2.83 8 hrs 28 mins
44 Tesla K40m
GK110 [Tesla K40m] 5046
Nvidia GK110 231,793 93,033 2.49 9 hrs 38 mins
45 GeForce MX450
TU117M [GeForce MX450]
Nvidia TU117M 207,229 81,105 2.56 9 hrs 24 mins
46 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 187,327 82,427 2.27 10 hrs 34 mins
47 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 187,245 81,420 2.30 10 hrs 26 mins
48 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 133,880 73,201 1.83 13 hrs 7 mins
49 Radeon RX 460/560D
Baffin [Radeon RX 460/560D]
AMD Baffin 76,292 66,351 1.15 20 hrs 52 mins
50 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 59,914 44,485 1.35 17 hrs 49 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:34:16
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make