RESEARCH: INFLUENZA
FOLDING PROJECT #12440 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,573Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at miniproteins designed to fight the flu virus. They bind to a protein 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. They'll use computer simulations to see how the miniproteins attach and detach from hemagglutinin.
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
Small, engineered proteins with therapeutic potential.
Miniproteins are artificially created proteins designed to be smaller and more effective than traditional antibodies. They have various applications in medicine, including treating infections and diseases.
therapeutics
Medicines or treatments used to prevent or cure diseases.
Therapeutics are medical interventions aimed at treating or preventing diseases. This can include medications, surgery, or other forms of treatment.
infectious disease
A disease caused by a pathogenic microorganism.
Infectious diseases are illnesses caused by harmful microorganisms like bacteria, viruses, fungi, or parasites. These pathogens can spread from person to person, animal to person, or through contaminated environments.
hemagglutinin
A viral protein that allows attachment to host cells.
Hemagglutinin is a key protein found on the surface of influenza viruses. It helps the virus attach to and enter host cells, enabling infection.
influenza A (HA)
Hemagglutinin subtype of influenza A virus.
Influenza A (HA) refers to a specific type of hemagglutinin protein found on the surface of influenza A viruses. Different subtypes of HA contribute to the variations in influenza strains.
sialic acid
A type of sugar molecule found on cell surfaces.
Sialic acid is a type of sugar molecule that plays a crucial role in cell recognition and signaling. It is often found attached to proteins and lipids on the surface of cells.
affinity maturation
The process of improving the binding affinity of an antibody or other biomolecule.
Affinity maturation is a natural process where antibodies evolve to bind more tightly to their target antigens. This occurs through mutations in the antibody genes, resulting in higher-affinity antibodies.
molecular dynamics simulations
Computer simulations of the movement and interactions of atoms and molecules.
Molecular dynamics simulations are powerful computer models that simulate the behavior of molecules over time. They can be used to study various biological processes, including protein folding, drug binding, and cellular interactions.
enhanced sampling methods
Techniques used to accelerate the exploration of conformational space in molecular simulations.
Enhanced sampling methods are computational techniques that help researchers overcome limitations in traditional molecular dynamics simulations. They allow for a more thorough exploration of the possible conformations and energy landscapes of molecules.
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 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,893,616 | 186,970 | 20.82 | 1 hrs 9 mins |
| 2 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,617,779 | 183,615 | 19.70 | 1 hrs 13 mins |
| 3 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,561,964 | 137,629 | 25.88 | 0 hrs 56 mins |
| 4 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,796,671 | 97,705 | 28.62 | 0 hrs 50 mins |
| 5 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 2,537,720 | 153,010 | 16.59 | 1 hrs 27 mins |
| 6 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,529,049 | 161,694 | 15.64 | 1 hrs 32 mins |
| 7 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,344,843 | 159,174 | 14.73 | 1 hrs 38 mins |
| 8 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,241,500 | 157,022 | 14.28 | 1 hrs 41 mins |
| 9 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,207,615 | 152,793 | 14.45 | 1 hrs 40 mins |
| 10 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,179,124 | 155,349 | 14.03 | 1 hrs 43 mins |
| 11 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,105,202 | 152,059 | 13.84 | 1 hrs 44 mins |
| 12 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,998,361 | 105,520 | 18.94 | 1 hrs 16 mins |
| 13 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,922,718 | 148,790 | 12.92 | 1 hrs 51 mins |
| 14 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,879,132 | 147,736 | 12.72 | 1 hrs 53 mins |
| 15 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,861,037 | 146,934 | 12.67 | 1 hrs 54 mins |
| 16 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,706,493 | 130,463 | 13.08 | 1 hrs 50 mins |
| 17 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,519,318 | 134,422 | 11.30 | 2 hrs 7 mins |
| 18 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,497,334 | 137,053 | 10.93 | 2 hrs 12 mins |
| 19 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,472,287 | 136,292 | 10.80 | 2 hrs 13 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 | 1,437,198 | 97,447 | 14.75 | 1 hrs 38 mins |
| 21 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,374,374 | 105,352 | 13.05 | 1 hrs 50 mins |
| 22 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,287,940 | 80,636 | 15.97 | 1 hrs 30 mins |
| 23 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,282,497 | 129,050 | 9.94 | 2 hrs 25 mins |
| 24 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,189,133 | 116,729 | 10.19 | 2 hrs 21 mins |
| 25 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,180,748 | 126,986 | 9.30 | 2 hrs 35 mins |
| 26 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,166,428 | 90,480 | 12.89 | 1 hrs 52 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,161,382 | 121,930 | 9.52 | 2 hrs 31 mins |
| 28 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,042,473 | 119,068 | 8.76 | 2 hrs 44 mins |
| 29 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,038,286 | 118,887 | 8.73 | 2 hrs 45 mins |
| 30 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,003,621 | 117,759 | 8.52 | 2 hrs 49 mins |
| 31 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 933,092 | 111,194 | 8.39 | 2 hrs 52 mins |
| 32 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 925,928 | 70,212 | 13.19 | 1 hrs 49 mins |
| 33 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 918,964 | 105,655 | 8.70 | 2 hrs 46 mins |
| 34 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 899,754 | 106,149 | 8.48 | 2 hrs 50 mins |
| 35 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 849,726 | 113,762 | 7.47 | 3 hrs 13 mins |
| 36 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 848,534 | 110,919 | 7.65 | 3 hrs 8 mins |
| 37 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 794,829 | 107,266 | 7.41 | 3 hrs 14 mins |
| 38 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 784,724 | 111,527 | 7.04 | 3 hrs 25 mins |
| 39 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 777,600 | 34,100 | 22.80 | 1 hrs 3 mins |
|
|
|||||||
| 40 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 735,933 | 108,774 | 6.77 | 3 hrs 33 mins |
| 41 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 724,544 | 106,699 | 6.79 | 3 hrs 32 mins |
| 42 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 710,228 | 107,795 | 6.59 | 3 hrs 39 mins |
| 43 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 690,788 | 99,947 | 6.91 | 3 hrs 28 mins |
| 44 | Radeon RX 6400/6500XT Navi 24 [Radeon RX 6400/6500XT] |
AMD | Navi 24 | 531,247 | 99,946 | 5.32 | 4 hrs 31 mins |
| 45 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 507,316 | 92,088 | 5.51 | 4 hrs 21 mins |
| 46 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 478,831 | 92,075 | 5.20 | 4 hrs 37 mins |
| 47 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 475,640 | 92,716 | 5.13 | 4 hrs 41 mins |
| 48 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 416,426 | 92,348 | 4.51 | 5 hrs 19 mins |
| 49 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 407,082 | 59,861 | 6.80 | 3 hrs 32 mins |
| 50 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 381,989 | 86,594 | 4.41 | 5 hrs 26 mins |
| 51 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 365,726 | 91,237 | 4.01 | 5 hrs 59 mins |
| 52 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 364,275 | 85,998 | 4.24 | 5 hrs 40 mins |
| 53 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 343,723 | 88,172 | 3.90 | 6 hrs 9 mins |
| 54 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 315,378 | 34,100 | 9.25 | 2 hrs 36 mins |
| 55 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 312,610 | 34,100 | 9.17 | 2 hrs 37 mins |
| 56 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 310,543 | 85,218 | 3.64 | 6 hrs 35 mins |
| 57 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 308,404 | 86,995 | 3.55 | 6 hrs 46 mins |
| 58 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 301,191 | 81,312 | 3.70 | 6 hrs 29 mins |
| 59 | Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP] |
AMD | Polaris 20 XL | 283,051 | 79,748 | 3.55 | 6 hrs 46 mins |
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|
|||||||
| 60 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 252,546 | 75,873 | 3.33 | 7 hrs 13 mins |
| 61 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 251,727 | 73,953 | 3.40 | 7 hrs 3 mins |
| 62 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 228,864 | 73,434 | 3.12 | 7 hrs 42 mins |
| 63 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 216,100 | 72,152 | 3.00 | 8 hrs 1 mins |
| 64 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 197,460 | 69,894 | 2.83 | 8 hrs 30 mins |
| 65 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 130,149 | 63,463 | 2.05 | 11 hrs 42 mins |
| 66 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 107,584 | 55,986 | 1.92 | 12 hrs 29 mins |
| 67 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 86,400 | 34,100 | 2.53 | 9 hrs 28 mins |
| 68 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 55,721 | 51,569 | 1.08 | 22 hrs 13 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 |
|---|