RESEARCH: INFLUENZA
FOLDING PROJECT #12437 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 studies miniproteins that block the flu virus. Scientists want to understand how these miniproteins bind to the virus and improve their design using computer simulations. This will help create better treatments for influenza.
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 therapeutic use.
Miniproteins are artificially created proteins designed to have specific functions. They are smaller than traditional antibodies and offer potential advantages in drug delivery and efficacy. In this context, miniproteins are being explored as a new type of treatment for infectious diseases.
therapeutics
Substances used to treat or prevent diseases.
Therapeutics encompass a wide range of medical treatments designed to address various health conditions. This includes medications, therapies, and other interventions aimed at curing, preventing, or managing diseases.
infectious disease
A disease caused by the invasion and multiplication of microorganisms.
Infectious diseases are illnesses caused by pathogens like bacteria, viruses, fungi, or parasites. These organisms can spread from person to person, animal to person, or through contaminated environments. Examples include influenza, tuberculosis, and HIV/AIDS.
hemagglutinin
A viral protein that allows influenza A virus to bind to sialic acid on cell surfaces.
Hemagglutinin (HA) is a key protein found on the surface of influenza A viruses. It plays a crucial role in infection by binding to sialic acid receptors on human cells, allowing the virus to attach and enter. HA is also involved in other processes during viral replication and spread.
influenza A (HA)
Hemagglutinin protein of influenza A virus
Influenza A (HA) refers to the hemagglutinin protein found in the influenza A virus. This protein is responsible for allowing the virus to attach to and infect human cells.
affinity maturation
The process of improving the binding affinity of a molecule to its target.
Affinity maturation is a key step in developing effective drugs and therapies. It involves enhancing the ability of a molecule, such as a miniprotein, to bind tightly to its intended target, improving its efficacy.
molecular dynamics simulations
Computer simulations used to study the motion and interactions of molecules.
Molecular dynamics simulations are powerful tools used in computational biology to model the behavior of molecules. They allow researchers to visualize how molecules interact, move, and change shape over time.
enhanced sampling methods
Techniques used to accelerate molecular dynamics simulations and explore rare events.
Enhanced sampling methods are computational tools that improve the efficiency of molecular dynamics simulations. They help researchers overcome limitations in exploring complex systems and uncover rare events that would be difficult to observe through standard simulations.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:31|
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 | 3,812,015 | 186,703 | 20.42 | 1 hrs 11 mins |
| 2 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,742,091 | 149,817 | 24.98 | 0 hrs 58 mins |
| 3 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,614,651 | 183,579 | 19.69 | 1 hrs 13 mins |
| 4 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,761,165 | 116,808 | 23.64 | 1 hrs 1 mins |
| 5 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 2,695,904 | 156,531 | 17.22 | 1 hrs 24 mins |
| 6 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,683,868 | 164,159 | 16.35 | 1 hrs 28 mins |
| 7 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,552,643 | 162,199 | 15.74 | 1 hrs 31 mins |
| 8 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,333,760 | 159,020 | 14.68 | 1 hrs 38 mins |
| 9 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,262,857 | 156,734 | 14.44 | 1 hrs 40 mins |
| 10 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,233,272 | 156,890 | 14.23 | 1 hrs 41 mins |
| 11 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,226,711 | 156,347 | 14.24 | 1 hrs 41 mins |
| 12 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,060,674 | 96,837 | 21.28 | 1 hrs 8 mins |
| 13 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,966,218 | 150,161 | 13.09 | 1 hrs 50 mins |
| 14 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,924,336 | 149,374 | 12.88 | 1 hrs 52 mins |
| 15 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,829,524 | 147,385 | 12.41 | 1 hrs 56 mins |
| 16 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,765,538 | 116,805 | 15.12 | 1 hrs 35 mins |
| 17 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,675,845 | 134,214 | 12.49 | 1 hrs 55 mins |
| 18 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,530,818 | 138,214 | 11.08 | 2 hrs 10 mins |
| 19 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,504,463 | 137,322 | 10.96 | 2 hrs 11 mins |
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| 20 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,459,404 | 135,993 | 10.73 | 2 hrs 14 mins |
| 21 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,397,569 | 133,309 | 10.48 | 2 hrs 17 mins |
| 22 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,347,386 | 118,113 | 11.41 | 2 hrs 6 mins |
| 23 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,337,691 | 89,249 | 14.99 | 1 hrs 36 mins |
| 24 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 1,295,603 | 127,718 | 10.14 | 2 hrs 22 mins |
| 25 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,267,200 | 34,100 | 37.16 | 0 hrs 39 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,155,972 | 108,452 | 10.66 | 2 hrs 15 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,154,740 | 125,512 | 9.20 | 2 hrs 37 mins |
| 28 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,146,187 | 85,998 | 13.33 | 1 hrs 48 mins |
| 29 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,131,875 | 122,991 | 9.20 | 2 hrs 36 mins |
| 30 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,114,728 | 124,671 | 8.94 | 2 hrs 41 mins |
| 31 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,110,128 | 124,167 | 8.94 | 2 hrs 41 mins |
| 32 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,084,291 | 122,956 | 8.82 | 2 hrs 43 mins |
| 33 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,033,754 | 119,501 | 8.65 | 2 hrs 46 mins |
| 34 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,004,778 | 119,646 | 8.40 | 2 hrs 51 mins |
| 35 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 993,394 | 118,302 | 8.40 | 2 hrs 51 mins |
| 36 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 866,975 | 40,120 | 21.61 | 1 hrs 7 mins |
| 37 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 804,108 | 109,800 | 7.32 | 3 hrs 17 mins |
| 38 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 803,926 | 78,486 | 10.24 | 2 hrs 21 mins |
| 39 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 761,615 | 109,955 | 6.93 | 3 hrs 28 mins |
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|
|||||||
| 40 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 757,289 | 110,601 | 6.85 | 3 hrs 30 mins |
| 41 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 723,849 | 106,949 | 6.77 | 3 hrs 33 mins |
| 42 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 697,240 | 105,900 | 6.58 | 3 hrs 39 mins |
| 43 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 674,674 | 106,989 | 6.31 | 3 hrs 48 mins |
| 44 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 536,877 | 92,607 | 5.80 | 4 hrs 8 mins |
| 45 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 528,225 | 94,376 | 5.60 | 4 hrs 17 mins |
| 46 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 488,747 | 95,936 | 5.09 | 4 hrs 43 mins |
| 47 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 449,060 | 89,876 | 5.00 | 4 hrs 48 mins |
| 48 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 448,799 | 91,910 | 4.88 | 4 hrs 55 mins |
| 49 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 433,866 | 71,575 | 6.06 | 3 hrs 58 mins |
| 50 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 429,899 | 92,481 | 4.65 | 5 hrs 10 mins |
| 51 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 384,110 | 77,955 | 4.93 | 4 hrs 52 mins |
| 52 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 366,945 | 90,132 | 4.07 | 5 hrs 54 mins |
| 53 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 364,967 | 85,324 | 4.28 | 5 hrs 37 mins |
| 54 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 358,595 | 85,086 | 4.21 | 5 hrs 42 mins |
| 55 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 321,830 | 84,709 | 3.80 | 6 hrs 19 mins |
| 56 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 319,745 | 85,685 | 3.73 | 6 hrs 26 mins |
| 57 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 305,167 | 36,462 | 8.37 | 2 hrs 52 mins |
| 58 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 258,637 | 82,479 | 3.14 | 7 hrs 39 mins |
| 59 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 252,255 | 75,832 | 3.33 | 7 hrs 13 mins |
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| 60 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 227,514 | 73,295 | 3.10 | 7 hrs 44 mins |
| 61 | Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP] |
AMD | Polaris 20 XL | 216,802 | 68,075 | 3.18 | 7 hrs 32 mins |
| 62 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 210,510 | 73,998 | 2.84 | 8 hrs 26 mins |
| 63 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 197,500 | 69,805 | 2.83 | 8 hrs 29 mins |
| 64 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 123,213 | 59,467 | 2.07 | 11 hrs 35 mins |
| 65 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 111,696 | 57,863 | 1.93 | 12 hrs 26 mins |
| 66 | Quadro M2000 GM206GL [Quadro M2000] |
Nvidia | GM206GL | 100,090 | 62,393 | 1.60 | 14 hrs 58 mins |
| 67 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 86,400 | 34,100 | 2.53 | 9 hrs 28 mins |
| 68 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 84,018 | 57,948 | 1.45 | 16 hrs 33 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:31|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|