RESEARCH: INFLUENZA
FOLDING PROJECT #12458 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,418Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Miniprotein drugs are a new type of treatment for diseases like the flu. This project uses computer simulations to understand how these miniproteins stick to the virus and block its ability to infect cells. This research could lead to better designed miniprotein drugs in the future.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Designed miniprotein therapeutics occupy the middle ground between small molecule drugs and monoclonal antibody treatments for infectious disease.
Hemagglutinin is a viral fusion protein that allows H1 influenza A (HA) to bind sialic acid on cell surfaces, as well as being involved in the post-endocytosis mechanism of cellular infection.; The Baker lab at University of Washington has developed de novo designed miniproteins that bind hemagglutinin, and developed ways to improve their binding through affinity maturation.
Many of the mutations seen in affinity-matured sequences are not directly in the binding interface, and it is unclear how these changes lead to higher affinity.
Understanding this mechanism may help us better computationally design better binders.
We aim to use molecular dynamics simulations to examine ab initio binding pathways for these miniprotein binders, and use enhanced sampling methods to study the unbinding reaction.
Pairing these methods together will provide a robust description of the complete binding reaction for this system.
RELATED TERMS GLOSSARY AI BETA
miniprotein
A small protein with therapeutic potential.
Miniproteins are artificially engineered proteins that are smaller than traditional antibodies. They offer advantages such as easier production and delivery, making them promising candidates for treating various diseases.
therapeutics
Substances used to treat diseases or medical conditions.
Therapeutics encompass a wide range of treatments, including medications, biologics, and gene therapies, aimed at preventing, diagnosing, and treating diseases.
hemagglutinin
A viral protein that allows viruses to bind to and infect host cells.
Hemagglutinin is a surface protein found on many viruses, including influenza. It plays a crucial role in the virus's ability to attach to and enter host cells.
influenza A
A type of virus that causes seasonal flu.
Influenza A is a highly contagious respiratory virus responsible for causing seasonal influenza outbreaks. It has various subtypes based on the surface proteins hemagglutinin (HA) and neuraminidase (NA).
H1
Subtype of influenza A virus.
H1 is a designation used to classify a specific subtype of the influenza A virus based on its hemagglutinin (HA) protein. It is one of the many subtypes that can cause seasonal flu.
sialic acid
A type of sugar found on cell surfaces.
Sialic acid is a complex sugar molecule that plays a crucial role in various biological processes. It is often attached to proteins and lipids on the surface of cells, acting as a recognition site for viruses and other molecules.
binding interface
The region on a protein where it interacts with other molecules.
The binding interface refers to the specific surface area on a protein molecule where it binds or interacts with other molecules, such as ligands, substrates, or other proteins.
affinity maturation
The process of increasing the binding affinity of an antibody or other protein.
Affinity maturation is a crucial process in the immune system where antibodies are refined over time to bind more strongly to their target antigens. It involves genetic mutations that enhance the binding affinity.
molecular dynamics simulations
Computer models that simulate the movement of atoms and molecules over time.
Molecular dynamics simulations are powerful computational tools used to study the behavior of molecules at an atomic level. They involve simulating the movements of atoms and bonds over time, providing insights into molecular interactions and processes.
enhanced sampling methods
Techniques used to speed up molecular dynamics simulations.
Enhanced sampling methods are computational techniques employed in molecular dynamics simulations to overcome the limitations of traditional simulations. They aim to explore a wider range of conformations and accelerate the sampling of rare events.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:23|
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 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 10,582,576 | 277,196 | 38.18 | 0 hrs 38 mins |
| 2 | RTX A6000 GA102GL [RTX A6000] |
Nvidia | GA102GL | 9,174,158 | 36,503 | 251.33 | 0 hrs 6 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,871,861 | 257,352 | 34.47 | 0 hrs 42 mins |
| 4 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,421,786 | 215,998 | 38.99 | 0 hrs 37 mins |
| 5 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 7,809,570 | 248,816 | 31.39 | 0 hrs 46 mins |
| 6 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,645,147 | 229,654 | 28.94 | 0 hrs 50 mins |
| 7 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,886,435 | 225,841 | 26.06 | 0 hrs 55 mins |
| 8 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,546,847 | 132,848 | 41.75 | 0 hrs 34 mins |
| 9 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,449,859 | 219,949 | 24.78 | 0 hrs 58 mins |
| 10 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,427,493 | 219,667 | 24.71 | 0 hrs 58 mins |
| 11 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,068,198 | 189,750 | 26.71 | 0 hrs 54 mins |
| 12 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,042,849 | 215,014 | 23.45 | 1 hrs 1 mins |
| 13 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 4,665,910 | 36,503 | 127.82 | 0 hrs 11 mins |
| 14 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,566,593 | 207,258 | 22.03 | 1 hrs 5 mins |
| 15 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 3,970,036 | 198,448 | 20.01 | 1 hrs 12 mins |
| 16 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,677,337 | 191,966 | 19.16 | 1 hrs 15 mins |
| 17 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,655,601 | 192,722 | 18.97 | 1 hrs 16 mins |
| 18 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 3,377,849 | 170,741 | 19.78 | 1 hrs 13 mins |
| 19 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,365,705 | 187,392 | 17.96 | 1 hrs 20 mins |
|
|
|||||||
| 20 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,219,567 | 178,655 | 18.02 | 1 hrs 20 mins |
| 21 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,131,716 | 131,893 | 23.74 | 1 hrs 1 mins |
| 22 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,074,288 | 176,833 | 17.39 | 1 hrs 23 mins |
| 23 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 2,872,933 | 178,881 | 16.06 | 1 hrs 30 mins |
| 24 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,837,295 | 161,398 | 17.58 | 1 hrs 22 mins |
| 25 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,650,449 | 171,093 | 15.49 | 1 hrs 33 mins |
| 26 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,582,093 | 172,256 | 14.99 | 1 hrs 36 mins |
| 27 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,546,015 | 170,606 | 14.92 | 1 hrs 36 mins |
| 28 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,355,276 | 166,246 | 14.17 | 1 hrs 42 mins |
| 29 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,346,735 | 166,327 | 14.11 | 1 hrs 42 mins |
| 30 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,342,759 | 166,579 | 14.06 | 1 hrs 42 mins |
| 31 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,249,729 | 155,058 | 14.51 | 1 hrs 39 mins |
| 32 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 2,238,632 | 36,503 | 61.33 | 0 hrs 23 mins |
| 33 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,182,722 | 146,670 | 14.88 | 1 hrs 37 mins |
| 34 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,117,330 | 160,621 | 13.18 | 1 hrs 49 mins |
| 35 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,963,757 | 153,399 | 12.80 | 1 hrs 52 mins |
| 36 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,956,563 | 133,530 | 14.65 | 1 hrs 38 mins |
| 37 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,916,537 | 150,965 | 12.70 | 1 hrs 53 mins |
| 38 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,624,705 | 147,886 | 10.99 | 2 hrs 11 mins |
| 39 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,551,182 | 145,145 | 10.69 | 2 hrs 15 mins |
|
|
|||||||
| 40 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,544,162 | 144,795 | 10.66 | 2 hrs 15 mins |
| 41 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,430,387 | 109,618 | 13.05 | 1 hrs 50 mins |
| 42 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,382,876 | 139,894 | 9.89 | 2 hrs 26 mins |
| 43 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,379,874 | 139,515 | 9.89 | 2 hrs 26 mins |
| 44 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,320,102 | 137,191 | 9.62 | 2 hrs 30 mins |
| 45 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 1,295,202 | 36,503 | 35.48 | 0 hrs 41 mins |
| 46 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,274,966 | 134,036 | 9.51 | 2 hrs 31 mins |
| 47 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,239,391 | 91,421 | 13.56 | 1 hrs 46 mins |
| 48 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,230,080 | 133,694 | 9.20 | 2 hrs 37 mins |
| 49 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,223,918 | 133,541 | 9.17 | 2 hrs 37 mins |
| 50 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,210,052 | 130,972 | 9.24 | 2 hrs 36 mins |
| 51 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 1,071,277 | 124,944 | 8.57 | 2 hrs 48 mins |
| 52 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 977,980 | 36,503 | 26.79 | 0 hrs 54 mins |
| 53 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 962,921 | 122,090 | 7.89 | 3 hrs 3 mins |
| 54 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 901,191 | 36,503 | 24.69 | 0 hrs 58 mins |
| 55 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 900,396 | 121,105 | 7.43 | 3 hrs 14 mins |
| 56 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 884,305 | 119,716 | 7.39 | 3 hrs 15 mins |
| 57 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 824,576 | 36,503 | 22.59 | 1 hrs 4 mins |
| 58 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 805,111 | 116,800 | 6.89 | 3 hrs 29 mins |
| 59 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 709,516 | 113,734 | 6.24 | 3 hrs 51 mins |
|
|
|||||||
| 60 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 632,599 | 107,964 | 5.86 | 4 hrs 6 mins |
| 61 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 628,933 | 104,726 | 6.01 | 3 hrs 60 mins |
| 62 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 588,355 | 107,737 | 5.46 | 4 hrs 24 mins |
| 63 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 587,114 | 103,723 | 5.66 | 4 hrs 14 mins |
| 64 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 561,588 | 41,648 | 13.48 | 1 hrs 47 mins |
| 65 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 529,324 | 72,822 | 7.27 | 3 hrs 18 mins |
| 66 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 437,302 | 53,996 | 8.10 | 2 hrs 58 mins |
| 67 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 380,245 | 94,099 | 4.04 | 5 hrs 56 mins |
| 68 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 340,742 | 87,670 | 3.89 | 6 hrs 10 mins |
| 69 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 305,678 | 84,732 | 3.61 | 6 hrs 39 mins |
| 70 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 232,966 | 72,759 | 3.20 | 7 hrs 30 mins |
| 71 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 231,638 | 77,213 | 3.00 | 8 hrs 0 mins |
| 72 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 208,977 | 74,526 | 2.80 | 8 hrs 34 mins |
| 73 | Quadro P1000 Mobile GP107GLM [Quadro P1000 Mobile] |
Nvidia | GP107GLM | 166,228 | 36,503 | 4.55 | 5 hrs 16 mins |
| 74 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 135,446 | 68,165 | 1.99 | 12 hrs 5 mins |
| 75 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 88,028 | 59,469 | 1.48 | 16 hrs 13 mins |
| 76 | GeForce MX130 GM108M [GeForce MX130] |
Nvidia | GM108M | 49,354 | 48,511 | 1.02 | 23 hrs 35 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:23|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|