RESEARCH: INFLUENZA
FOLDING PROJECT #12438 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,554Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at miniproteins designed to fight the flu. These miniproteins bind to a part of the flu virus called hemagglutinin, which helps the virus infect cells. Researchers want to understand how these miniproteins work so they can design even better ones in the future using computer simulations.
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 engineered for specific functions.
Miniproteins are artificially created proteins that are significantly smaller than traditional antibodies. They possess unique properties that make them valuable tools in medicine and research. Their compact size allows for efficient delivery and targeting of specific sites within the body, making them promising candidates for treating diseases.
therapeutics
Substances used to treat or prevent diseases.
Therapeutics encompass a wide range of medical treatments aimed at combating diseases and promoting well-being. They include medications, biological therapies, and other interventions designed to alleviate symptoms, cure illnesses, or prevent their onset.
infectious disease
A disease caused by a pathogen such as bacteria, virus, or parasite.
Infectious diseases are illnesses transmitted from one person to another or through contact with contaminated objects. They are primarily caused by microorganisms like bacteria, viruses, fungi, and parasites. Symptoms vary widely depending on the specific pathogen involved.
hemagglutinin
A viral protein that allows attachment to host cells.
Hemagglutinin is a key protein found on the surface of influenza viruses. It plays a crucial role in enabling the virus to attach to and infect host cells. By binding to specific receptors on cell surfaces, hemagglutinin facilitates viral entry and subsequent replication.
influenza A
A type of influenza virus that can cause seasonal flu.
Influenza A is a highly contagious respiratory virus responsible for seasonal flu outbreaks worldwide. It infects the respiratory tract, causing symptoms such as fever, cough, sore throat, and body aches.
HA
Hemagglutinin
affinity maturation
The process of increasing the binding affinity of an antibody.
Affinity maturation is a crucial process in the development of highly effective antibodies. It involves introducing genetic changes that enhance the ability of an antibody to bind to its target with greater strength and specificity.
molecular dynamics simulations
Computer simulations that model the movement of molecules over time.
Molecular dynamics simulations are powerful tools used to study the behavior of molecules at an atomic level. By simulating the interactions between atoms and molecules, researchers can gain insights into their structure, function, and dynamics.
enhanced sampling methods
Techniques used to overcome limitations in traditional molecular dynamics simulations.
Enhanced sampling methods are essential for exploring a wider range of possible conformations and events in molecular simulations. They allow researchers to capture rare or transient phenomena that would otherwise be difficult to observe.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:30|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,869,747 | 186,751 | 20.72 | 1 hrs 9 mins |
| 2 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,699,757 | 145,327 | 25.46 | 0 hrs 57 mins |
| 3 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,582,755 | 183,172 | 19.56 | 1 hrs 14 mins |
| 4 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 3,507,629 | 176,274 | 19.90 | 1 hrs 12 mins |
| 5 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,706,753 | 122,584 | 22.08 | 1 hrs 5 mins |
| 6 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,672,376 | 163,921 | 16.30 | 1 hrs 28 mins |
| 7 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,525,357 | 163,760 | 15.42 | 1 hrs 33 mins |
| 8 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,244,846 | 153,644 | 14.61 | 1 hrs 39 mins |
| 9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,242,228 | 157,085 | 14.27 | 1 hrs 41 mins |
| 10 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,216,278 | 155,340 | 14.27 | 1 hrs 41 mins |
| 11 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,010,528 | 114,306 | 17.59 | 1 hrs 22 mins |
| 12 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,963,850 | 150,057 | 13.09 | 1 hrs 50 mins |
| 13 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,907,284 | 148,633 | 12.83 | 1 hrs 52 mins |
| 14 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,868,469 | 147,541 | 12.66 | 1 hrs 54 mins |
| 15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,703,891 | 119,033 | 14.31 | 1 hrs 41 mins |
| 16 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,693,269 | 128,599 | 13.17 | 1 hrs 49 mins |
| 17 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,482,470 | 136,368 | 10.87 | 2 hrs 12 mins |
| 18 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,439,806 | 134,246 | 10.73 | 2 hrs 14 mins |
| 19 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 1,435,887 | 135,389 | 10.61 | 2 hrs 16 mins |
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|
|||||||
| 20 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,375,423 | 104,476 | 13.16 | 1 hrs 49 mins |
| 21 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,369,329 | 131,712 | 10.40 | 2 hrs 19 mins |
| 22 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,235,285 | 65,480 | 18.87 | 1 hrs 16 mins |
| 23 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,232,501 | 123,176 | 10.01 | 2 hrs 24 mins |
| 24 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 1,198,326 | 66,346 | 18.06 | 1 hrs 20 mins |
| 25 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,195,989 | 126,306 | 9.47 | 2 hrs 32 mins |
| 26 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,153,461 | 88,553 | 13.03 | 1 hrs 51 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,148,501 | 124,759 | 9.21 | 2 hrs 36 mins |
| 28 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,143,486 | 125,329 | 9.12 | 2 hrs 38 mins |
| 29 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,132,573 | 124,660 | 9.09 | 2 hrs 38 mins |
| 30 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,132,466 | 125,106 | 9.05 | 2 hrs 39 mins |
| 31 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,132,175 | 93,482 | 12.11 | 1 hrs 59 mins |
| 32 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,078,698 | 123,088 | 8.76 | 2 hrs 44 mins |
| 33 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,012,007 | 119,642 | 8.46 | 2 hrs 50 mins |
| 34 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 888,300 | 111,957 | 7.93 | 3 hrs 1 mins |
| 35 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 871,056 | 112,697 | 7.73 | 3 hrs 6 mins |
| 36 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 854,947 | 111,777 | 7.65 | 3 hrs 8 mins |
| 37 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 845,292 | 113,550 | 7.44 | 3 hrs 13 mins |
| 38 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 813,479 | 112,171 | 7.25 | 3 hrs 19 mins |
| 39 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 783,346 | 110,571 | 7.08 | 3 hrs 23 mins |
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|
|||||||
| 40 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 770,054 | 109,208 | 7.05 | 3 hrs 24 mins |
| 41 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 748,868 | 47,848 | 15.65 | 1 hrs 32 mins |
| 42 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 696,694 | 105,497 | 6.60 | 3 hrs 38 mins |
| 43 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 683,942 | 107,337 | 6.37 | 3 hrs 46 mins |
| 44 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 628,125 | 90,041 | 6.98 | 3 hrs 26 mins |
| 45 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 553,589 | 98,418 | 5.62 | 4 hrs 16 mins |
| 46 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 493,927 | 95,950 | 5.15 | 4 hrs 40 mins |
| 47 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 486,879 | 95,999 | 5.07 | 4 hrs 44 mins |
| 48 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 448,376 | 91,546 | 4.90 | 4 hrs 54 mins |
| 49 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 448,016 | 65,725 | 6.82 | 3 hrs 31 mins |
| 50 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 408,229 | 92,570 | 4.41 | 5 hrs 27 mins |
| 51 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 394,685 | 92,109 | 4.28 | 5 hrs 36 mins |
| 52 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 371,391 | 85,845 | 4.33 | 5 hrs 33 mins |
| 53 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 353,074 | 86,201 | 4.10 | 5 hrs 52 mins |
| 54 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 341,912 | 84,269 | 4.06 | 5 hrs 55 mins |
| 55 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 318,474 | 34,100 | 9.34 | 2 hrs 34 mins |
| 56 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 314,499 | 84,788 | 3.71 | 6 hrs 28 mins |
| 57 | Radeon RX 6400/6500XT Navi 24 [Radeon RX 6400/6500XT] |
AMD | Navi 24 | 313,348 | 81,771 | 3.83 | 6 hrs 16 mins |
| 58 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 300,251 | 86,160 | 3.48 | 6 hrs 53 mins |
| 59 | Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP] |
AMD | Polaris 20 XL | 259,200 | 34,100 | 7.60 | 3 hrs 9 mins |
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| 60 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 252,753 | 75,826 | 3.33 | 7 hrs 12 mins |
| 61 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 228,655 | 73,360 | 3.12 | 7 hrs 42 mins |
| 62 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 214,156 | 71,843 | 2.98 | 8 hrs 3 mins |
| 63 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 207,432 | 77,298 | 2.68 | 8 hrs 57 mins |
| 64 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 204,930 | 67,718 | 3.03 | 7 hrs 56 mins |
| 65 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 192,528 | 70,008 | 2.75 | 8 hrs 44 mins |
| 66 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 111,609 | 57,846 | 1.93 | 12 hrs 26 mins |
| 67 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 99,586 | 56,223 | 1.77 | 13 hrs 33 mins |
| 68 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 86,400 | 34,100 | 2.53 | 9 hrs 28 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:30|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|