RESEARCH: MEMBRANE TRANSPORT
FOLDING PROJECT #17920 PROFILE
PROJECT TEAM
Manager(s): Austin WeigleInstitution: University of Illinois at Urbana-Champaign
Project URL: View Project Website
WORK UNIT INFO
Atoms: 65,919Core: 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
Membrane transporters
Proteins embedded in cell membranes that facilitate the movement of molecules across.
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.
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.
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.
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.
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 |
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|||||||
| 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 |
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|||||||
| 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 |
|---|