RESEARCH: INFLUENZA
FOLDING PROJECT #12425 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
Miniproteins are being designed to fight the flu by blocking a viral protein called hemagglutinin. Researchers want to use computer simulations to understand how these miniproteins bind and unbind from hemagglutinin, which could help create even 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
A small protein designed for therapeutic purposes.
Miniproteins are engineered proteins that are smaller than traditional antibodies. They can be used as drugs because they can bind to specific targets in the body, like viruses or diseased cells. Miniproteins have advantages over larger drugs, such as being easier to produce and deliver.
Monoclonal Antibody
A laboratory-produced antibody that can target specific proteins.
Monoclonal antibodies are laboratory-made versions of natural antibodies found in the immune system. They are designed to recognize and bind to specific targets, like cancer cells or viruses. This targeting ability allows them to be used as powerful drugs to treat a wide range of diseases.
Hemagglutinin
A viral protein that allows influenza viruses to bind to host cells.
Hemagglutinin (HA) is a key protein found on the surface of influenza viruses. It plays a crucial role in infection by binding to sialic acid receptors on the surfaces of cells lining the respiratory tract. This binding allows the virus to attach to and enter host cells, initiating the infection process.
H1 Influenza A
Subtype of influenza A virus.
H1N1 is a subtype of influenza A virus. It's known for causing seasonal flu epidemics and occasionally pandemics. The 'H1' refers to the hemagglutinin protein on the surface of the virus, while 'N1' refers to the neuraminidase protein, which helps the virus spread.
Affinity Maturation
The process of improving the binding affinity of a protein to its target.
Affinity maturation is a technique used in biotechnology to enhance the effectiveness of proteins like antibodies. It involves making small changes to the protein's structure through mutation and selection, gradually increasing its ability to bind tightly to its intended target.
Molecular Dynamics Simulations
Computer simulations that model the movement of atoms and molecules over time.
Molecular dynamics simulations are powerful computational tools used in biotechnology to study the behavior of molecules. They simulate the interactions between atoms and molecules, allowing researchers to understand how proteins fold, how drugs bind to their targets, and how biological systems function at a molecular level.
Enhanced Sampling Methods
Techniques used in molecular dynamics simulations to sample rare events.
Enhanced sampling methods are crucial for studying rare events in molecular dynamics simulations. These techniques overcome the limitations of traditional simulations by allowing researchers to explore a wider range of possible configurations and uncover transient or infrequent processes that are essential for understanding complex biological systems.
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 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 5,227,200 | 34,100 | 153.29 | 0 hrs 9 mins |
| 2 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,771,233 | 147,473 | 25.57 | 0 hrs 56 mins |
| 3 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,678,602 | 184,946 | 19.89 | 1 hrs 12 mins |
| 4 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,623,279 | 183,815 | 19.71 | 1 hrs 13 mins |
| 5 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,811,078 | 131,288 | 21.41 | 1 hrs 7 mins |
| 6 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,576,288 | 162,574 | 15.85 | 1 hrs 31 mins |
| 7 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,453,256 | 161,621 | 15.18 | 1 hrs 35 mins |
| 8 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 2,343,690 | 150,623 | 15.56 | 1 hrs 33 mins |
| 9 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,294,332 | 156,591 | 14.65 | 1 hrs 38 mins |
| 10 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,222,395 | 156,533 | 14.20 | 1 hrs 41 mins |
| 11 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,171,142 | 153,838 | 14.11 | 1 hrs 42 mins |
| 12 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,087,006 | 151,023 | 13.82 | 1 hrs 44 mins |
| 13 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,014,039 | 113,980 | 17.67 | 1 hrs 21 mins |
| 14 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,997,776 | 150,869 | 13.24 | 1 hrs 49 mins |
| 15 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,888,666 | 147,978 | 12.76 | 1 hrs 53 mins |
| 16 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,887,480 | 147,961 | 12.76 | 1 hrs 53 mins |
| 17 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,765,826 | 132,673 | 13.31 | 1 hrs 48 mins |
| 18 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,648,490 | 131,924 | 12.50 | 1 hrs 55 mins |
| 19 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,558,480 | 138,710 | 11.24 | 2 hrs 8 mins |
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|||||||
| 20 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,446,183 | 135,389 | 10.68 | 2 hrs 15 mins |
| 21 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,425,344 | 134,771 | 10.58 | 2 hrs 16 mins |
| 22 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,401,937 | 101,501 | 13.81 | 1 hrs 44 mins |
| 23 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,380,658 | 132,417 | 10.43 | 2 hrs 18 mins |
| 24 | P102-100 GP102 [P102-100] |
Nvidia | GP102 | 1,322,377 | 120,603 | 10.96 | 2 hrs 11 mins |
| 25 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,295,533 | 128,663 | 10.07 | 2 hrs 23 mins |
| 26 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,228,579 | 96,970 | 12.67 | 1 hrs 54 mins |
| 27 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,193,922 | 127,557 | 9.36 | 2 hrs 34 mins |
| 28 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,166,601 | 80,186 | 14.55 | 1 hrs 39 mins |
| 29 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,161,424 | 126,594 | 9.17 | 2 hrs 37 mins |
| 30 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,130,037 | 122,461 | 9.23 | 2 hrs 36 mins |
| 31 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,123,532 | 122,382 | 9.18 | 2 hrs 37 mins |
| 32 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,120,144 | 124,459 | 9.00 | 2 hrs 40 mins |
| 33 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,108,165 | 107,661 | 10.29 | 2 hrs 20 mins |
| 34 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,049,940 | 121,709 | 8.63 | 2 hrs 47 mins |
| 35 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 958,562 | 115,039 | 8.33 | 2 hrs 53 mins |
| 36 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 943,189 | 106,070 | 8.89 | 2 hrs 42 mins |
| 37 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 903,691 | 113,032 | 8.00 | 3 hrs 0 mins |
| 38 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 901,309 | 115,589 | 7.80 | 3 hrs 5 mins |
| 39 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 900,509 | 112,210 | 8.03 | 2 hrs 59 mins |
|
|
|||||||
| 40 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 867,739 | 114,241 | 7.60 | 3 hrs 10 mins |
| 41 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 857,353 | 72,510 | 11.82 | 2 hrs 2 mins |
| 42 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 820,311 | 112,965 | 7.26 | 3 hrs 18 mins |
| 43 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 796,831 | 109,866 | 7.25 | 3 hrs 19 mins |
| 44 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 781,211 | 88,631 | 8.81 | 2 hrs 43 mins |
| 45 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 780,438 | 110,837 | 7.04 | 3 hrs 25 mins |
| 46 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 736,824 | 105,514 | 6.98 | 3 hrs 26 mins |
| 47 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 735,954 | 76,222 | 9.66 | 2 hrs 29 mins |
| 48 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 726,345 | 107,914 | 6.73 | 3 hrs 34 mins |
| 49 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 695,117 | 103,801 | 6.70 | 3 hrs 35 mins |
| 50 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 684,908 | 106,361 | 6.44 | 3 hrs 44 mins |
| 51 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 667,532 | 101,224 | 6.59 | 3 hrs 38 mins |
| 52 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 658,995 | 102,263 | 6.44 | 3 hrs 43 mins |
| 53 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 555,356 | 97,532 | 5.69 | 4 hrs 13 mins |
| 54 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 541,573 | 34,100 | 15.88 | 1 hrs 31 mins |
| 55 | GeForce GTX 1070 Mobile GP104M [GeForce GTX 1070 Mobile] |
Nvidia | GP104M | 525,777 | 71,660 | 7.34 | 3 hrs 16 mins |
| 56 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 485,740 | 71,691 | 6.78 | 3 hrs 33 mins |
| 57 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 483,340 | 93,846 | 5.15 | 4 hrs 40 mins |
| 58 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 479,778 | 91,827 | 5.22 | 4 hrs 36 mins |
| 59 | Tesla K40c GK110 [Tesla K40c] 5046 |
Nvidia | GK110 | 462,602 | 92,729 | 4.99 | 4 hrs 49 mins |
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|
|||||||
| 60 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 408,084 | 91,067 | 4.48 | 5 hrs 21 mins |
| 61 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 395,288 | 70,799 | 5.58 | 4 hrs 18 mins |
| 62 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 387,696 | 62,244 | 6.23 | 3 hrs 51 mins |
| 63 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 370,175 | 86,123 | 4.30 | 5 hrs 35 mins |
| 64 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 367,790 | 85,515 | 4.30 | 5 hrs 35 mins |
| 65 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 318,194 | 84,922 | 3.75 | 6 hrs 24 mins |
| 66 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 310,959 | 84,201 | 3.69 | 6 hrs 30 mins |
| 67 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 300,015 | 80,371 | 3.73 | 6 hrs 26 mins |
| 68 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 297,415 | 79,830 | 3.73 | 6 hrs 27 mins |
| 69 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 296,100 | 85,758 | 3.45 | 6 hrs 57 mins |
| 70 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 295,701 | 46,274 | 6.39 | 3 hrs 45 mins |
| 71 | RTX A500 Laptop GPU GA107GLM [RTX A500 Laptop GPU] |
Nvidia | GA107GLM | 288,916 | 82,293 | 3.51 | 6 hrs 50 mins |
| 72 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 270,388 | 77,829 | 3.47 | 6 hrs 54 mins |
| 73 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 253,638 | 75,934 | 3.34 | 7 hrs 11 mins |
| 74 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 234,571 | 76,359 | 3.07 | 7 hrs 49 mins |
| 75 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 228,484 | 73,412 | 3.11 | 7 hrs 43 mins |
| 76 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 201,514 | 70,647 | 2.85 | 8 hrs 25 mins |
| 77 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 195,516 | 70,211 | 2.78 | 8 hrs 37 mins |
| 78 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 154,216 | 64,471 | 2.39 | 10 hrs 2 mins |
| 79 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 112,850 | 58,034 | 1.94 | 12 hrs 21 mins |
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| 80 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 93,057 | 62,561 | 1.49 | 16 hrs 8 mins |
| 81 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 90,885 | 56,208 | 1.62 | 14 hrs 51 mins |
| 82 | Quadro P600 GP107GL [Quadro P600] |
Nvidia | GP107GL | 86,567 | 59,637 | 1.45 | 16 hrs 32 mins |
| 83 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 66,445 | 48,409 | 1.37 | 17 hrs 29 mins |
| 84 | GeForce MX110 GM108M [GeForce MX110] |
Nvidia | GM108M | 30,371 | 37,967 | 0.80 | 30 hrs 0 mins |
| 85 | Quadro K420 GK107 [Quadro K420] |
Nvidia | GK107 | 5,422 | 34,100 | 0.16 | 150 hrs 56 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 |
|---|