RESEARCH: INFLUENZA
FOLDING PROJECT #12459 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,422Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project explores how miniproteins designed to fight flu viruses bind to the virus's hemagglutinin protein. By using computer simulations, researchers hope to understand how changes in the miniprotein's structure lead to stronger binding. This knowledge can help design even better miniprotein drugs against infectious diseases.
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, engineered protein with a defined function.
Miniproteins are tiny, designed proteins used in drug development. They're smaller than traditional antibodies but can still target specific molecules in the body. Miniproteins offer advantages like faster production and improved tissue penetration.
Therapeutics
Substances used for the treatment or prevention of disease.
Therapeutics encompass various medical treatments aimed at preventing, diagnosing, or treating diseases. This includes drugs, biologics, and other therapies.
Infectious Disease
A disease caused by a pathogen.
Infectious diseases are illnesses caused by harmful microorganisms like bacteria, viruses, fungi, or parasites. These pathogens can spread from person to person, animals to people, or through contaminated environments.
Hemagglutinin
A viral glycoprotein that binds to sialic acid on host cells.
Hemagglutinin is a protein found on the surface of some viruses, like influenza. It helps the virus attach to and enter host cells by binding to sugar molecules called sialic acid.
Influenza A
A type of influenza virus that can cause seasonal epidemics.
Influenza A is a contagious respiratory illness caused by the influenza A virus. It spreads easily through coughs and sneezes, leading to symptoms like fever, cough, sore throat, and body aches.
HA
Hemagglutinin
HA stands for Hemagglutinin, a protein found on the surface of influenza A virus. It plays a crucial role in viral attachment and entry into host cells.
Sialic Acid
A type of sugar molecule found on cell surfaces.
Sialic acid is a complex sugar that plays various roles in biological processes. It's often found on the surface of cells, acting as a recognition site for viruses and other molecules.
Affinity Maturation
The process of improving the binding affinity of an antibody or other protein.
Affinity maturation is a technique used to enhance the binding strength between antibodies and their target antigens. It involves introducing mutations into the antibody genes, selecting for variants with higher affinity.
Molecular Dynamics Simulations
Computer simulations of the movement of atoms and molecules.
Molecular dynamics simulations are computer programs that model the behavior of molecules over time. They can be used to study various biological processes, such as protein folding and drug binding.
Enhanced Sampling Methods
Techniques used to increase the sampling efficiency of molecular dynamics simulations.
Enhanced sampling methods are computational strategies employed in molecular dynamics simulations to overcome limitations in exploring complex energy landscapes. They aim to sample rare events and improve the accuracy of simulation results.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:23|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | RTX A6000 GA102GL [RTX A6000] |
Nvidia | GA102GL | 9,246,632 | 36,503 | 253.31 | 0 hrs 6 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,842,679 | 256,458 | 34.48 | 0 hrs 42 mins |
| 3 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,425,793 | 213,620 | 39.44 | 0 hrs 37 mins |
| 4 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 7,407,183 | 245,323 | 30.19 | 0 hrs 48 mins |
| 5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,481,722 | 225,031 | 28.80 | 0 hrs 50 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,949,456 | 81,276 | 73.20 | 0 hrs 20 mins |
| 7 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,531,116 | 218,548 | 25.31 | 0 hrs 57 mins |
| 8 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,406,909 | 219,347 | 24.65 | 0 hrs 58 mins |
| 9 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,389,978 | 219,763 | 24.53 | 0 hrs 59 mins |
| 10 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,379,274 | 187,903 | 28.63 | 0 hrs 50 mins |
| 11 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,982,521 | 213,884 | 23.30 | 1 hrs 2 mins |
| 12 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,651,716 | 207,675 | 22.40 | 1 hrs 4 mins |
| 13 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 3,984,357 | 198,890 | 20.03 | 1 hrs 12 mins |
| 14 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,821,431 | 194,707 | 19.63 | 1 hrs 13 mins |
| 15 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,585,179 | 159,022 | 22.55 | 1 hrs 4 mins |
| 16 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,365,260 | 187,633 | 17.94 | 1 hrs 20 mins |
| 17 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,280,728 | 183,707 | 17.86 | 1 hrs 21 mins |
| 18 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,187,776 | 147,980 | 21.54 | 1 hrs 7 mins |
| 19 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,173,048 | 120,981 | 26.23 | 0 hrs 55 mins |
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|
|||||||
| 20 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,958,078 | 168,767 | 17.53 | 1 hrs 22 mins |
| 21 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,888,769 | 156,300 | 18.48 | 1 hrs 18 mins |
| 22 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,696,150 | 173,804 | 15.51 | 1 hrs 33 mins |
| 23 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,690,807 | 173,551 | 15.50 | 1 hrs 33 mins |
| 24 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 2,685,447 | 36,503 | 73.57 | 0 hrs 20 mins |
| 25 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,522,333 | 170,635 | 14.78 | 1 hrs 37 mins |
| 26 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,438,384 | 168,455 | 14.47 | 1 hrs 39 mins |
| 27 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,409,621 | 165,049 | 14.60 | 1 hrs 39 mins |
| 28 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,400,424 | 167,552 | 14.33 | 1 hrs 41 mins |
| 29 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,397,286 | 159,250 | 15.05 | 1 hrs 36 mins |
| 30 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,365,707 | 162,788 | 14.53 | 1 hrs 39 mins |
| 31 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,334,065 | 166,455 | 14.02 | 1 hrs 43 mins |
| 32 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,047,314 | 159,171 | 12.86 | 1 hrs 52 mins |
| 33 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,974,490 | 155,731 | 12.68 | 1 hrs 54 mins |
| 34 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,933,054 | 137,669 | 14.04 | 1 hrs 43 mins |
| 35 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,632,438 | 126,683 | 12.89 | 1 hrs 52 mins |
| 36 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,613,554 | 125,600 | 12.85 | 1 hrs 52 mins |
| 37 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,609,194 | 146,518 | 10.98 | 2 hrs 11 mins |
| 38 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,514,082 | 144,312 | 10.49 | 2 hrs 17 mins |
| 39 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,392,947 | 139,961 | 9.95 | 2 hrs 25 mins |
|
|
|||||||
| 40 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,391,077 | 91,816 | 15.15 | 1 hrs 35 mins |
| 41 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,365,693 | 128,334 | 10.64 | 2 hrs 15 mins |
| 42 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,342,718 | 137,068 | 9.80 | 2 hrs 27 mins |
| 43 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,331,346 | 88,547 | 15.04 | 1 hrs 36 mins |
| 44 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,306,326 | 135,970 | 9.61 | 2 hrs 30 mins |
| 45 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,300,428 | 137,055 | 9.49 | 2 hrs 32 mins |
| 46 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 1,279,938 | 36,503 | 35.06 | 0 hrs 41 mins |
| 47 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,112,709 | 128,306 | 8.67 | 2 hrs 46 mins |
| 48 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 1,041,490 | 36,503 | 28.53 | 0 hrs 50 mins |
| 49 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 997,192 | 125,433 | 7.95 | 3 hrs 1 mins |
| 50 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 965,029 | 36,503 | 26.44 | 0 hrs 54 mins |
| 51 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 890,185 | 121,062 | 7.35 | 3 hrs 16 mins |
| 52 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 869,458 | 119,477 | 7.28 | 3 hrs 18 mins |
| 53 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 772,265 | 115,397 | 6.69 | 3 hrs 35 mins |
| 54 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 754,715 | 114,250 | 6.61 | 3 hrs 38 mins |
| 55 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 722,338 | 113,452 | 6.37 | 3 hrs 46 mins |
| 56 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 555,866 | 42,428 | 13.10 | 1 hrs 50 mins |
| 57 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 537,300 | 102,753 | 5.23 | 4 hrs 35 mins |
| 58 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 430,943 | 59,080 | 7.29 | 3 hrs 17 mins |
| 59 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 418,621 | 93,737 | 4.47 | 5 hrs 22 mins |
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|||||||
| 60 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 380,925 | 92,824 | 4.10 | 5 hrs 51 mins |
| 61 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 366,494 | 36,503 | 10.04 | 2 hrs 23 mins |
| 62 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 340,649 | 87,952 | 3.87 | 6 hrs 12 mins |
| 63 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 340,455 | 62,742 | 5.43 | 4 hrs 25 mins |
| 64 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 308,231 | 84,730 | 3.64 | 6 hrs 36 mins |
| 65 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 269,761 | 80,508 | 3.35 | 7 hrs 10 mins |
| 66 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 209,309 | 74,548 | 2.81 | 8 hrs 33 mins |
| 67 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 202,681 | 73,723 | 2.75 | 8 hrs 44 mins |
| 68 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 167,833 | 69,284 | 2.42 | 9 hrs 54 mins |
| 69 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 107,875 | 67,758 | 1.59 | 15 hrs 4 mins |
| 70 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 74,940 | 56,710 | 1.32 | 18 hrs 10 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:23|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|