RESEARCH: INFLUENZA
FOLDING PROJECT #12426 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 looks at miniprotein drugs designed to fight flu. These proteins block a key part of the virus (hemagglutinin) from infecting cells. Scientists want to use computer simulations to understand how these miniproteins work so they can design even better ones in the future.
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 a specific purpose.
Miniproteins are tiny, artificially created proteins with tailored functions. They're smaller than traditional antibodies and can be designed to target specific molecules in the body, making them promising tools for treating diseases.
Monoclonal Antibody
A laboratory-produced antibody that can target specific cells or molecules in the body.
Monoclonal antibodies are lab-made versions of natural antibodies. They're designed to bind to very specific targets, like proteins on cancer cells or viruses. This targeted binding helps treat diseases by blocking harmful actions or flagging infected cells for destruction.
Infectious Disease
A disease caused by a pathogen, such as a virus, bacterium, or fungus.
Infectious diseases are illnesses spread through contact with pathogens. These microscopic invaders can cause a wide range of symptoms and can be transmitted through various means like air, water, food, or direct contact.
Hemagglutinin
A viral protein that allows viruses to bind to sialic acid on cell surfaces.
Hemagglutinin is a key protein found on the surface of many viruses, including influenza. It helps the virus attach to and enter cells by recognizing specific sugars called sialic acids present on cell membranes.
Influenza A (HA)
A subtype of the influenza virus that causes seasonal flu.
Influenza A is a type of virus responsible for seasonal flu outbreaks. It's characterized by symptoms like fever, cough, muscle aches, and fatigue. HA stands for Hemagglutinin, a viral protein crucial for its ability to infect cells.
Sialic Acid
A type of sugar molecule found on the surface of cells.
Sialic acid is a common sugar molecule attached to many proteins and lipids on cell surfaces. It plays important roles in cell signaling, immune recognition, and viral binding.
Affinity Maturation
The process of improving the binding affinity of a protein to its target.
Affinity maturation is a technique used to enhance the strength with which a molecule, like an antibody or miniprotein, binds to its target. It involves introducing mutations and selecting for those that result in stronger binding.
Molecular Dynamics Simulations
Computer simulations that model the movement of atoms and molecules over time.
Molecular dynamics simulations are powerful computer tools used to study how molecules interact and move. By simulating these interactions over time, scientists can gain insights into processes like protein folding, drug binding, and disease mechanisms.
Enhanced Sampling Methods
Techniques used to accelerate the exploration of conformational space in molecular simulations.
Enhanced sampling methods are strategies employed in molecular simulations to overcome limitations in exploring all possible conformations of a molecule. They help researchers investigate rare events and uncover hidden details about molecular behavior.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:37|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 10,213,409 | 251,239 | 40.65 | 0 hrs 35 mins |
| 2 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 8,267,225 | 237,318 | 34.84 | 0 hrs 41 mins |
| 3 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,780,440 | 236,763 | 32.86 | 0 hrs 44 mins |
| 4 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,696,423 | 151,788 | 24.35 | 0 hrs 59 mins |
| 5 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,647,544 | 184,051 | 19.82 | 1 hrs 13 mins |
| 6 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,586,509 | 179,524 | 19.98 | 1 hrs 12 mins |
| 7 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,746,677 | 105,834 | 25.95 | 0 hrs 55 mins |
| 8 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,677,455 | 166,136 | 16.12 | 1 hrs 29 mins |
| 9 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,537,548 | 162,649 | 15.60 | 1 hrs 32 mins |
| 10 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,288,521 | 155,564 | 14.71 | 1 hrs 38 mins |
| 11 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,233,199 | 156,707 | 14.25 | 1 hrs 41 mins |
| 12 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,196,997 | 155,863 | 14.10 | 1 hrs 42 mins |
| 13 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,153,814 | 152,481 | 14.13 | 1 hrs 42 mins |
| 14 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,970,517 | 103,951 | 18.96 | 1 hrs 16 mins |
| 15 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,928,139 | 148,801 | 12.96 | 1 hrs 51 mins |
| 16 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,879,754 | 147,668 | 12.73 | 1 hrs 53 mins |
| 17 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,841,928 | 146,782 | 12.55 | 1 hrs 55 mins |
| 18 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,822,863 | 145,344 | 12.54 | 1 hrs 55 mins |
| 19 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 1,809,217 | 134,398 | 13.46 | 1 hrs 47 mins |
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| 20 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,726,523 | 127,829 | 13.51 | 1 hrs 47 mins |
| 21 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,600,176 | 121,370 | 13.18 | 1 hrs 49 mins |
| 22 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,549,883 | 138,668 | 11.18 | 2 hrs 9 mins |
| 23 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,516,581 | 137,936 | 10.99 | 2 hrs 11 mins |
| 24 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,443,629 | 134,766 | 10.71 | 2 hrs 14 mins |
| 25 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,379,875 | 96,212 | 14.34 | 1 hrs 40 mins |
| 26 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,344,509 | 132,056 | 10.18 | 2 hrs 21 mins |
| 27 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,233,349 | 126,349 | 9.76 | 2 hrs 28 mins |
| 28 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,165,742 | 126,685 | 9.20 | 2 hrs 36 mins |
| 29 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,159,140 | 112,295 | 10.32 | 2 hrs 20 mins |
| 30 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,154,191 | 125,736 | 9.18 | 2 hrs 37 mins |
| 31 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,151,391 | 125,141 | 9.20 | 2 hrs 37 mins |
| 32 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,148,551 | 82,232 | 13.97 | 1 hrs 43 mins |
| 33 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,125,749 | 117,988 | 9.54 | 2 hrs 31 mins |
| 34 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,119,197 | 118,112 | 9.48 | 2 hrs 32 mins |
| 35 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,038,668 | 121,363 | 8.56 | 2 hrs 48 mins |
| 36 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,015,185 | 119,891 | 8.47 | 2 hrs 50 mins |
| 37 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,009,007 | 119,800 | 8.42 | 2 hrs 51 mins |
| 38 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 920,020 | 116,592 | 7.89 | 3 hrs 2 mins |
| 39 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 904,224 | 71,279 | 12.69 | 1 hrs 54 mins |
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|
|||||||
| 40 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 900,916 | 114,990 | 7.83 | 3 hrs 4 mins |
| 41 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 875,706 | 111,418 | 7.86 | 3 hrs 3 mins |
| 42 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 823,252 | 107,494 | 7.66 | 3 hrs 8 mins |
| 43 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 820,713 | 107,434 | 7.64 | 3 hrs 9 mins |
| 44 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 816,256 | 112,815 | 7.24 | 3 hrs 19 mins |
| 45 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 806,822 | 111,864 | 7.21 | 3 hrs 20 mins |
| 46 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 754,077 | 108,110 | 6.98 | 3 hrs 26 mins |
| 47 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 740,547 | 108,563 | 6.82 | 3 hrs 31 mins |
| 48 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 710,106 | 107,670 | 6.60 | 3 hrs 38 mins |
| 49 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 708,302 | 108,057 | 6.55 | 3 hrs 40 mins |
| 50 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 687,318 | 80,797 | 8.51 | 2 hrs 49 mins |
| 51 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 676,619 | 105,664 | 6.40 | 3 hrs 45 mins |
| 52 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 611,707 | 92,669 | 6.60 | 3 hrs 38 mins |
| 53 | Quadro T1200 Mobile TU117GLM [Quadro T1200 Mobile] |
Nvidia | TU117GLM | 577,541 | 99,925 | 5.78 | 4 hrs 9 mins |
| 54 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 530,648 | 94,640 | 5.61 | 4 hrs 17 mins |
| 55 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 526,016 | 93,636 | 5.62 | 4 hrs 16 mins |
| 56 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 500,367 | 95,899 | 5.22 | 4 hrs 36 mins |
| 57 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 483,187 | 96,421 | 5.01 | 4 hrs 47 mins |
| 58 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 479,981 | 92,356 | 5.20 | 4 hrs 37 mins |
| 59 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 471,371 | 92,176 | 5.11 | 4 hrs 42 mins |
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| 60 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 465,997 | 83,004 | 5.61 | 4 hrs 16 mins |
| 61 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 417,756 | 92,091 | 4.54 | 5 hrs 17 mins |
| 62 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 416,584 | 89,258 | 4.67 | 5 hrs 9 mins |
| 63 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 389,916 | 34,100 | 11.43 | 2 hrs 6 mins |
| 64 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 366,578 | 77,614 | 4.72 | 5 hrs 5 mins |
| 65 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 361,475 | 86,090 | 4.20 | 5 hrs 43 mins |
| 66 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 353,543 | 85,457 | 4.14 | 5 hrs 48 mins |
| 67 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 351,853 | 44,796 | 7.85 | 3 hrs 3 mins |
| 68 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 321,669 | 86,842 | 3.70 | 6 hrs 29 mins |
| 69 | Radeon RX 6400/6500XT Navi 24 [Radeon RX 6400/6500XT] |
AMD | Navi 24 | 318,441 | 81,929 | 3.89 | 6 hrs 10 mins |
| 70 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 315,447 | 84,257 | 3.74 | 6 hrs 25 mins |
| 71 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 276,321 | 80,362 | 3.44 | 6 hrs 59 mins |
| 72 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 258,909 | 76,351 | 3.39 | 7 hrs 5 mins |
| 73 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 228,259 | 73,407 | 3.11 | 7 hrs 43 mins |
| 74 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 216,534 | 68,385 | 3.17 | 7 hrs 35 mins |
| 75 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 195,866 | 69,346 | 2.82 | 8 hrs 30 mins |
| 76 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 193,968 | 69,847 | 2.78 | 8 hrs 39 mins |
| 77 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 154,148 | 64,312 | 2.40 | 10 hrs 1 mins |
| 78 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 100,073 | 52,114 | 1.92 | 12 hrs 30 mins |
| 79 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 80,327 | 43,757 | 1.84 | 13 hrs 4 mins |
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| 80 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 76,535 | 59,165 | 1.29 | 18 hrs 33 mins |
| 81 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 67,771 | 48,197 | 1.41 | 17 hrs 4 mins |
| 82 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 65,926 | 48,637 | 1.36 | 17 hrs 42 mins |
| 83 | GeForce MX130 GM108M [GeForce MX130] |
Nvidia | GM108M | 41,143 | 37,160 | 1.11 | 21 hrs 41 mins |
| 84 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 36,516 | 46,799 | 0.78 | 30 hrs 46 mins |
| 85 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 32,746 | 45,883 | 0.71 | 33 hrs 38 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:37|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|