RESEARCH: INFLUENZA
FOLDING PROJECT #12441 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,490Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Miniprotein drugs are being designed to fight flu viruses. These tiny proteins bind to a viral protein called hemagglutinin, stopping the virus from infecting cells. Scientists want to understand how these miniproteins work so they can design even better ones. They're using computer simulations to study how the miniproteins attach to 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
miniproteins
Small, engineered proteins with specific functions.
Miniproteins are novel therapeutic agents smaller than traditional antibodies. They offer advantages like improved delivery and production efficiency. Research focuses on designing miniproteins to target specific diseases.
therapeutics
Agents used to treat or prevent diseases.
Therapeutics encompass a wide range of medical interventions aimed at treating or preventing diseases. They include drugs, biologics, gene therapies, and other innovative approaches.
infectious disease
A disease caused by pathogenic microorganisms.
Infectious diseases are illnesses resulting from the invasion and multiplication of harmful microorganisms like bacteria, viruses, fungi, or parasites within the body.
hemagglutinin
A viral protein that allows attachment to host cells.
Hemagglutinin is a crucial surface protein found on influenza viruses. It enables the virus to bind to and enter host cells, initiating infection.
H1 influenza A
Subtype of influenza A virus
H1N1 is a subtype of the influenza A virus. It is characterized by two specific surface proteins: hemagglutinin (H1) and neuraminidase (N1). This subtype has caused several pandemics throughout history.
sialic acid
A type of sugar molecule found on cell surfaces.
Sialic acid is a complex sugar molecule often attached to proteins and lipids on the surface of cells. It plays various roles in cellular recognition, signaling, and immune responses.
affinity maturation
Process of improving the binding affinity of antibodies.
Affinity maturation is a crucial step in antibody engineering. It involves introducing mutations into an antibody's DNA to enhance its ability to bind to a specific target with higher affinity and specificity.
molecular dynamics simulations
Computer models to simulate molecular movements and interactions.
Molecular dynamics simulations are computational tools used to study the behavior of molecules at an atomic level. They can predict how molecules interact with each other, their movement, and energy changes, aiding in drug design and understanding biological processes.
enhanced sampling methods
Techniques to accelerate molecular simulations.
Enhanced sampling methods are computational strategies used in molecular simulations to explore a wider range of molecular configurations and overcome the limitations of traditional simulation techniques. They allow researchers to study rare events and complex systems more efficiently.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:28|
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 | 3,827,433 | 187,154 | 20.45 | 1 hrs 10 mins |
| 2 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,776,769 | 139,380 | 27.10 | 0 hrs 53 mins |
| 3 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,589,616 | 183,288 | 19.58 | 1 hrs 14 mins |
| 4 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,601,550 | 163,202 | 15.94 | 1 hrs 30 mins |
| 5 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,581,786 | 95,791 | 26.95 | 0 hrs 53 mins |
| 6 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,263,346 | 157,505 | 14.37 | 1 hrs 40 mins |
| 7 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,259,874 | 157,468 | 14.35 | 1 hrs 40 mins |
| 8 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,253,204 | 154,463 | 14.59 | 1 hrs 39 mins |
| 9 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,005,937 | 151,229 | 13.26 | 1 hrs 49 mins |
| 10 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,998,276 | 127,018 | 15.73 | 1 hrs 32 mins |
| 11 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,853,143 | 128,427 | 14.43 | 1 hrs 40 mins |
| 12 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,819,410 | 146,477 | 12.42 | 1 hrs 56 mins |
| 13 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,817,775 | 145,620 | 12.48 | 1 hrs 55 mins |
| 14 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,711,381 | 135,869 | 12.60 | 1 hrs 54 mins |
| 15 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 1,650,823 | 126,719 | 13.03 | 1 hrs 51 mins |
| 16 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,555,428 | 138,684 | 11.22 | 2 hrs 8 mins |
| 17 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,527,455 | 138,071 | 11.06 | 2 hrs 10 mins |
| 18 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,487,035 | 136,762 | 10.87 | 2 hrs 12 mins |
| 19 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,371,716 | 90,444 | 15.17 | 1 hrs 35 mins |
|
|
|||||||
| 20 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,339,327 | 131,686 | 10.17 | 2 hrs 22 mins |
| 21 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,288,486 | 34,100 | 37.79 | 0 hrs 38 mins |
| 22 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,260,952 | 128,033 | 9.85 | 2 hrs 26 mins |
| 23 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,188,772 | 104,708 | 11.35 | 2 hrs 7 mins |
| 24 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,165,507 | 124,928 | 9.33 | 2 hrs 34 mins |
| 25 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,146,708 | 125,582 | 9.13 | 2 hrs 38 mins |
| 26 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,146,231 | 121,097 | 9.47 | 2 hrs 32 mins |
| 27 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,142,636 | 82,281 | 13.89 | 1 hrs 44 mins |
| 28 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,136,672 | 125,160 | 9.08 | 2 hrs 39 mins |
| 29 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 996,694 | 117,666 | 8.47 | 2 hrs 50 mins |
| 30 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 971,623 | 70,224 | 13.84 | 1 hrs 44 mins |
| 31 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 942,142 | 117,266 | 8.03 | 2 hrs 59 mins |
| 32 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 926,656 | 112,633 | 8.23 | 2 hrs 55 mins |
| 33 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 853,559 | 113,105 | 7.55 | 3 hrs 11 mins |
| 34 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 847,482 | 113,222 | 7.49 | 3 hrs 12 mins |
| 35 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 823,584 | 112,804 | 7.30 | 3 hrs 17 mins |
| 36 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 799,129 | 111,082 | 7.19 | 3 hrs 20 mins |
| 37 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 798,960 | 102,961 | 7.76 | 3 hrs 6 mins |
| 38 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 783,958 | 106,613 | 7.35 | 3 hrs 16 mins |
| 39 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 777,177 | 110,411 | 7.04 | 3 hrs 25 mins |
|
|
|||||||
| 40 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 768,054 | 42,825 | 17.93 | 1 hrs 20 mins |
| 41 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 764,218 | 109,445 | 6.98 | 3 hrs 26 mins |
| 42 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 752,391 | 108,888 | 6.91 | 3 hrs 28 mins |
| 43 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 738,968 | 108,252 | 6.83 | 3 hrs 31 mins |
| 44 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 727,662 | 100,601 | 7.23 | 3 hrs 19 mins |
| 45 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 701,394 | 107,756 | 6.51 | 3 hrs 41 mins |
| 46 | GeForce RTX 3050 Mobile GA107M [GeForce RTX 3050 Mobile] |
Nvidia | GA107M | 651,510 | 102,961 | 6.33 | 3 hrs 48 mins |
| 47 | Quadro T1200 Mobile TU117GLM [Quadro T1200 Mobile] |
Nvidia | TU117GLM | 574,057 | 99,620 | 5.76 | 4 hrs 10 mins |
| 48 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 538,824 | 96,370 | 5.59 | 4 hrs 18 mins |
| 49 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 530,521 | 96,152 | 5.52 | 4 hrs 21 mins |
| 50 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 474,153 | 92,207 | 5.14 | 4 hrs 40 mins |
| 51 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 441,274 | 93,663 | 4.71 | 5 hrs 6 mins |
| 52 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 415,170 | 92,236 | 4.50 | 5 hrs 20 mins |
| 53 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 411,916 | 45,614 | 9.03 | 2 hrs 39 mins |
| 54 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 404,330 | 92,337 | 4.38 | 5 hrs 29 mins |
| 55 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 367,345 | 85,892 | 4.28 | 5 hrs 37 mins |
| 56 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 361,002 | 90,343 | 4.00 | 6 hrs 0 mins |
| 57 | RTX A500 Laptop GPU GA107GLM [RTX A500 Laptop GPU] |
Nvidia | GA107GLM | 341,368 | 85,926 | 3.97 | 6 hrs 2 mins |
| 58 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 334,685 | 83,379 | 4.01 | 5 hrs 59 mins |
| 59 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 327,079 | 85,378 | 3.83 | 6 hrs 16 mins |
|
|
|||||||
| 60 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 324,960 | 34,100 | 9.53 | 2 hrs 31 mins |
| 61 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 316,288 | 85,097 | 3.72 | 6 hrs 27 mins |
| 62 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 252,308 | 76,009 | 3.32 | 7 hrs 14 mins |
| 63 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 226,058 | 72,654 | 3.11 | 7 hrs 43 mins |
| 64 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 223,444 | 72,880 | 3.07 | 7 hrs 50 mins |
| 65 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 198,892 | 70,193 | 2.83 | 8 hrs 28 mins |
| 66 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 188,888 | 68,833 | 2.74 | 8 hrs 45 mins |
| 67 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 162,126 | 42,130 | 3.85 | 6 hrs 14 mins |
| 68 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 123,446 | 49,294 | 2.50 | 9 hrs 35 mins |
| 69 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 107,469 | 55,492 | 1.94 | 12 hrs 24 mins |
| 70 | 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 06:34:28|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|