RESEARCH: INFLUENZA
FOLDING PROJECT #12442 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,541Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to miniproteins that fight flu by blocking the virus's attachment to cells. Scientists want to use computer simulations to understand how these miniproteins work and improve their design, leading to better flu treatments.
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 protein with therapeutic potential.
Miniproteins are engineered proteins designed to be smaller and more stable than traditional antibodies. They hold promise as therapeutics due to their ability to target specific biological processes with high precision.
therapeutics
Substances used to treat or prevent disease.
Therapeutics encompass a wide range of medications and treatments aimed at diagnosing, treating, and preventing diseases. This field focuses on developing safe and effective interventions to improve human health.
hemagglutinin
Viral protein that binds to sialic acid on host cells.
Hemagglutinin is a key viral protein found on the surface of influenza viruses. It plays a crucial role in the virus's ability to attach to and enter host cells, initiating infection.
influenza A
A type of influenza virus that can cause serious illness in humans.
Influenza A is a highly contagious respiratory virus that can lead to seasonal outbreaks. It's characterized by symptoms such as fever, cough, muscle aches, and fatigue. Vaccines are available to protect against specific strains of influenza A.
H1
Subtype of influenza A virus.
H1 refers to a specific subtype of the influenza A virus. Influenza viruses are classified based on two surface proteins: hemagglutinin (H) and neuraminidase (N). The H1 subtype is one of the most common influenza strains that circulate in humans.
HA
Hemagglutinin (a viral surface protein).
HA stands for hemagglutinin, a protein found on the surface of influenza viruses. It plays a vital role in the virus's ability to attach to and enter host cells.
sialic acid
Sugar molecule found on cell surfaces.
Sialic acid is a type of sugar molecule commonly found on the surfaces of human cells. Influenza viruses bind to sialic acid receptors on host cells as the first step in infection.
affinity maturation
Process of increasing the binding affinity of antibodies.
Affinity maturation is a crucial process in antibody development. It involves introducing mutations into the antibody genes to enhance their ability to bind to specific target molecules with higher precision.
molecular dynamics
Computer simulations of molecular motion.
Molecular dynamics simulations are powerful computational tools used to study the movement and interactions of atoms and molecules over time. They provide insights into various biological processes at the atomic level.
enhanced sampling
Techniques to accelerate simulations.
Enhanced sampling methods are employed in molecular dynamics simulations to overcome the limitations of traditional simulations. They help explore a wider range of conformations and accelerate the process of studying rare events.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:27|
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 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,680,482 | 142,035 | 25.91 | 0 hrs 56 mins |
| 2 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,658,687 | 184,410 | 19.84 | 1 hrs 13 mins |
| 3 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,277,383 | 175,061 | 18.72 | 1 hrs 17 mins |
| 4 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,724,531 | 158,513 | 17.19 | 1 hrs 24 mins |
| 5 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,535,566 | 162,671 | 15.59 | 1 hrs 32 mins |
| 6 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,343,517 | 159,405 | 14.70 | 1 hrs 38 mins |
| 7 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,273,296 | 155,793 | 14.59 | 1 hrs 39 mins |
| 8 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,241,470 | 156,895 | 14.29 | 1 hrs 41 mins |
| 9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,224,043 | 156,336 | 14.23 | 1 hrs 41 mins |
| 10 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 2,153,281 | 141,297 | 15.24 | 1 hrs 34 mins |
| 11 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,090,828 | 151,872 | 13.77 | 1 hrs 45 mins |
| 12 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,060,917 | 111,299 | 18.52 | 1 hrs 18 mins |
| 13 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,997,427 | 150,807 | 13.24 | 1 hrs 49 mins |
| 14 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,894,896 | 147,554 | 12.84 | 1 hrs 52 mins |
| 15 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,882,625 | 147,798 | 12.74 | 1 hrs 53 mins |
| 16 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,701,410 | 132,806 | 12.81 | 1 hrs 52 mins |
| 17 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,542,073 | 138,626 | 11.12 | 2 hrs 9 mins |
| 18 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,516,779 | 138,009 | 10.99 | 2 hrs 11 mins |
| 19 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,473,901 | 111,134 | 13.26 | 1 hrs 49 mins |
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|||||||
| 20 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,439,040 | 133,271 | 10.80 | 2 hrs 13 mins |
| 21 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,422,685 | 95,746 | 14.86 | 1 hrs 37 mins |
| 22 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,270,125 | 85,331 | 14.88 | 1 hrs 37 mins |
| 23 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,227,768 | 87,434 | 14.04 | 1 hrs 43 mins |
| 24 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,193,400 | 127,064 | 9.39 | 2 hrs 33 mins |
| 25 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,177,896 | 125,844 | 9.36 | 2 hrs 34 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,176,260 | 118,831 | 9.90 | 2 hrs 25 mins |
| 27 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,124,391 | 120,691 | 9.32 | 2 hrs 35 mins |
| 28 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,104,065 | 123,769 | 8.92 | 2 hrs 41 mins |
| 29 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,025,955 | 117,468 | 8.73 | 2 hrs 45 mins |
| 30 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,024,610 | 120,178 | 8.53 | 2 hrs 49 mins |
| 31 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,002,112 | 120,013 | 8.35 | 2 hrs 52 mins |
| 32 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 997,517 | 109,230 | 9.13 | 2 hrs 38 mins |
| 33 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 931,434 | 114,463 | 8.14 | 2 hrs 57 mins |
| 34 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 888,532 | 105,546 | 8.42 | 2 hrs 51 mins |
| 35 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 885,884 | 34,100 | 25.98 | 0 hrs 55 mins |
| 36 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 881,809 | 88,803 | 9.93 | 2 hrs 25 mins |
| 37 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 874,597 | 113,981 | 7.67 | 3 hrs 8 mins |
| 38 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 838,928 | 112,191 | 7.48 | 3 hrs 13 mins |
| 39 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 811,730 | 108,452 | 7.48 | 3 hrs 12 mins |
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|||||||
| 40 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 789,291 | 110,429 | 7.15 | 3 hrs 21 mins |
| 41 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 781,057 | 110,471 | 7.07 | 3 hrs 24 mins |
| 42 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 761,174 | 110,413 | 6.89 | 3 hrs 29 mins |
| 43 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 694,653 | 107,918 | 6.44 | 3 hrs 44 mins |
| 44 | GeForce RTX 3050 Mobile GA107M [GeForce RTX 3050 Mobile] |
Nvidia | GA107M | 635,427 | 103,772 | 6.12 | 3 hrs 55 mins |
| 45 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 576,962 | 99,873 | 5.78 | 4 hrs 9 mins |
| 46 | Quadro T1200 Mobile TU117GLM [Quadro T1200 Mobile] |
Nvidia | TU117GLM | 575,600 | 99,798 | 5.77 | 4 hrs 10 mins |
| 47 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 557,745 | 94,861 | 5.88 | 4 hrs 5 mins |
| 48 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 526,361 | 100,420 | 5.24 | 4 hrs 35 mins |
| 49 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 493,285 | 93,432 | 5.28 | 4 hrs 33 mins |
| 50 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 468,912 | 93,196 | 5.03 | 4 hrs 46 mins |
| 51 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 436,697 | 92,829 | 4.70 | 5 hrs 6 mins |
| 52 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 423,402 | 86,604 | 4.89 | 4 hrs 55 mins |
| 53 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 409,002 | 71,712 | 5.70 | 4 hrs 12 mins |
| 54 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 380,782 | 87,019 | 4.38 | 5 hrs 29 mins |
| 55 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 376,125 | 86,405 | 4.35 | 5 hrs 31 mins |
| 56 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 347,193 | 83,827 | 4.14 | 5 hrs 48 mins |
| 57 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 313,618 | 84,256 | 3.72 | 6 hrs 27 mins |
| 58 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 305,056 | 86,203 | 3.54 | 6 hrs 47 mins |
| 59 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 290,745 | 40,430 | 7.19 | 3 hrs 20 mins |
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| 60 | 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 |
| 61 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 251,923 | 75,849 | 3.32 | 7 hrs 14 mins |
| 62 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 229,160 | 73,469 | 3.12 | 7 hrs 42 mins |
| 63 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 191,639 | 70,135 | 2.73 | 8 hrs 47 mins |
| 64 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 155,653 | 55,221 | 2.82 | 8 hrs 31 mins |
| 65 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 123,890 | 60,512 | 2.05 | 11 hrs 43 mins |
| 66 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 107,452 | 57,130 | 1.88 | 12 hrs 46 mins |
| 67 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 88,551 | 59,904 | 1.48 | 16 hrs 14 mins |
| 68 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 86,400 | 34,100 | 2.53 | 9 hrs 28 mins |
| 69 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 85,724 | 59,593 | 1.44 | 16 hrs 41 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:27|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|