RESEARCH: INFLUENZA
FOLDING PROJECT #12439 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,575Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how miniprotein drugs work against the flu virus. These miniproteins latch onto a protein called hemagglutinin, which helps the virus infect cells. By studying how these miniproteins bind and detach from hemagglutinin using computer simulations, researchers hope to design even better 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 designed for therapeutic purposes.
Miniproteins are artificially engineered proteins with a compact size. They possess the potential to act as effective therapeutics due to their ability to target specific biological molecules and pathways.
therapeutics
Agents used to treat or prevent disease.
Therapeutics encompass a wide range of medical treatments aimed at combating diseases. These include medications, biologics, and other interventions designed to alleviate symptoms, cure illnesses, or improve patient outcomes.
infectious disease
A disease caused by a pathogen.
Infectious diseases are illnesses resulting from the invasion and multiplication of pathogenic microorganisms within the body. These pathogens can include bacteria, viruses, fungi, and parasites.
hemagglutinin
A viral protein that binds to sialic acid on host cells.
Hemagglutinin is a crucial viral protein responsible for attaching to and entering host cells. It facilitates the binding of the virus to specific receptors on cell surfaces, enabling the infection process.
influenza A
A type of virus that causes influenza.
Influenza A is a respiratory virus responsible for seasonal flu outbreaks. It spreads easily through airborne droplets and can cause symptoms such as fever, cough, sore throat, and body aches.
HA
Hemagglutinin
HA is an acronym commonly used to represent the hemagglutinin protein found on influenza A viruses. This protein plays a vital role in viral attachment and entry into host cells.
affinity maturation
The process of increasing the binding affinity of an antibody or miniprotein.
Affinity maturation is a biological process where antibodies or other binding molecules undergo changes in their structure to enhance their binding strength. This refinement allows for more effective targeting and neutralization of specific molecules.
molecular dynamics simulations
Computer simulations of the motion of molecules over time.
Molecular dynamics simulations are powerful computational tools used to model the behavior of atoms and molecules. They provide insights into molecular interactions, conformational changes, and reaction mechanisms.
enhanced sampling methods
Techniques used to accelerate molecular dynamics simulations.
Enhanced sampling methods are computational strategies employed to overcome limitations in standard molecular dynamics simulations. They allow researchers to explore a wider range of molecular configurations and obtain more comprehensive insights into complex systems.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:29|
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 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,611,806 | 183,675 | 19.66 | 1 hrs 13 mins |
| 2 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,552,254 | 180,759 | 19.65 | 1 hrs 13 mins |
| 3 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,512,914 | 140,077 | 25.08 | 0 hrs 57 mins |
| 4 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 3,036,520 | 165,371 | 18.36 | 1 hrs 18 mins |
| 5 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,758,675 | 136,442 | 20.22 | 1 hrs 11 mins |
| 6 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,621,526 | 164,155 | 15.97 | 1 hrs 30 mins |
| 7 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,340,397 | 159,315 | 14.69 | 1 hrs 38 mins |
| 8 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,215,725 | 156,309 | 14.18 | 1 hrs 42 mins |
| 9 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,204,690 | 153,671 | 14.35 | 1 hrs 40 mins |
| 10 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,197,734 | 155,986 | 14.09 | 1 hrs 42 mins |
| 11 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,040,443 | 92,932 | 21.96 | 1 hrs 6 mins |
| 12 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,010,546 | 151,248 | 13.29 | 1 hrs 48 mins |
| 13 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,959,788 | 150,102 | 13.06 | 1 hrs 50 mins |
| 14 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,887,960 | 148,285 | 12.73 | 1 hrs 53 mins |
| 15 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,718,282 | 122,454 | 14.03 | 1 hrs 43 mins |
| 16 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,526,054 | 116,138 | 13.14 | 1 hrs 50 mins |
| 17 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,494,211 | 137,070 | 10.90 | 2 hrs 12 mins |
| 18 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,493,541 | 136,940 | 10.91 | 2 hrs 12 mins |
| 19 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,413,997 | 90,609 | 15.61 | 1 hrs 32 mins |
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| 20 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,395,923 | 133,147 | 10.48 | 2 hrs 17 mins |
| 21 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,248,795 | 91,111 | 13.71 | 1 hrs 45 mins |
| 22 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,246,855 | 126,053 | 9.89 | 2 hrs 26 mins |
| 23 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,156,570 | 125,643 | 9.21 | 2 hrs 36 mins |
| 24 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,147,809 | 115,515 | 9.94 | 2 hrs 25 mins |
| 25 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,133,631 | 111,181 | 10.20 | 2 hrs 21 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,132,125 | 112,408 | 10.07 | 2 hrs 23 mins |
| 27 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,116,792 | 84,274 | 13.25 | 1 hrs 49 mins |
| 28 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,113,599 | 124,333 | 8.96 | 2 hrs 41 mins |
| 29 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,088,826 | 123,246 | 8.83 | 2 hrs 43 mins |
| 30 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 1,015,057 | 45,057 | 22.53 | 1 hrs 4 mins |
| 31 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,000,331 | 115,576 | 8.66 | 2 hrs 46 mins |
| 32 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 999,017 | 117,344 | 8.51 | 2 hrs 49 mins |
| 33 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 978,987 | 118,846 | 8.24 | 2 hrs 55 mins |
| 34 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 935,788 | 117,446 | 7.97 | 3 hrs 1 mins |
| 35 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 934,731 | 115,114 | 8.12 | 2 hrs 57 mins |
| 36 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 859,162 | 111,628 | 7.70 | 3 hrs 7 mins |
| 37 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 854,387 | 114,011 | 7.49 | 3 hrs 12 mins |
| 38 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 852,172 | 58,372 | 14.60 | 1 hrs 39 mins |
| 39 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 800,597 | 111,217 | 7.20 | 3 hrs 20 mins |
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|||||||
| 40 | GeForce GTX 1070 Mobile GP104M [GeForce GTX 1070 Mobile] |
Nvidia | GP104M | 793,693 | 109,832 | 7.23 | 3 hrs 19 mins |
| 41 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 761,236 | 109,642 | 6.94 | 3 hrs 27 mins |
| 42 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 741,429 | 103,393 | 7.17 | 3 hrs 21 mins |
| 43 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 684,819 | 100,571 | 6.81 | 3 hrs 31 mins |
| 44 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 683,452 | 107,133 | 6.38 | 3 hrs 46 mins |
| 45 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 611,957 | 92,994 | 6.58 | 3 hrs 39 mins |
| 46 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 531,250 | 90,594 | 5.86 | 4 hrs 6 mins |
| 47 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 477,319 | 90,968 | 5.25 | 4 hrs 34 mins |
| 48 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 436,566 | 94,652 | 4.61 | 5 hrs 12 mins |
| 49 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 419,523 | 92,548 | 4.53 | 5 hrs 18 mins |
| 50 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 397,188 | 80,647 | 4.93 | 4 hrs 52 mins |
| 51 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 389,128 | 54,092 | 7.19 | 3 hrs 20 mins |
| 52 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 373,474 | 86,301 | 4.33 | 5 hrs 33 mins |
| 53 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 347,123 | 84,854 | 4.09 | 5 hrs 52 mins |
| 54 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 346,009 | 40,105 | 8.63 | 2 hrs 47 mins |
| 55 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 333,936 | 87,025 | 3.84 | 6 hrs 15 mins |
| 56 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 326,009 | 87,169 | 3.74 | 6 hrs 25 mins |
| 57 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 317,254 | 84,749 | 3.74 | 6 hrs 25 mins |
| 58 | Radeon RX 6400/6500XT Navi 24 [Radeon RX 6400/6500XT] |
AMD | Navi 24 | 313,750 | 81,955 | 3.83 | 6 hrs 16 mins |
| 59 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 266,390 | 77,457 | 3.44 | 6 hrs 59 mins |
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| 60 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 252,322 | 75,819 | 3.33 | 7 hrs 13 mins |
| 61 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 227,923 | 73,173 | 3.11 | 7 hrs 42 mins |
| 62 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 187,898 | 70,051 | 2.68 | 8 hrs 57 mins |
| 63 | RTX A500 Laptop GPU GA107GLM [RTX A500 Laptop GPU] |
Nvidia | GA107GLM | 161,430 | 37,740 | 4.28 | 5 hrs 37 mins |
| 64 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 158,239 | 65,062 | 2.43 | 9 hrs 52 mins |
| 65 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 144,494 | 63,554 | 2.27 | 10 hrs 33 mins |
| 66 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 108,751 | 57,275 | 1.90 | 12 hrs 38 mins |
| 67 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 91,545 | 59,352 | 1.54 | 15 hrs 34 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 06:34:29|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|