RESEARCH: INFLUENZA
FOLDING PROJECT #12457 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 90,426Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Miniproteins are being designed to fight flu by blocking a key viral protein called hemagglutinin. Scientists want to understand how these miniproteins work so they can design even better ones. They'll use computer simulations to track how the miniproteins attach to and detach from hemagglutinin, giving us a complete picture of how this important interaction works.
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 artificially created proteins that are smaller than typical antibodies but larger than small-molecule drugs. They offer a unique approach to treating diseases by targeting specific molecules in the body.
therapeutics
Medicinal substances used to treat or prevent diseases.
Therapeutics encompass a wide range of medications, from small-molecule drugs to complex biologics like antibodies. They are designed to target specific biological pathways and mechanisms involved in disease.
hemagglutinin
A viral protein that binds to sialic acid on host cells, facilitating viral entry.
Hemagglutinin is a key protein found on the surface of influenza viruses. It plays a crucial role in allowing the virus to attach to and infect human cells.
influenza A
A type of influenza virus that can cause seasonal epidemics and pandemics.
Influenza A is a highly contagious respiratory virus responsible for causing the flu. It spreads easily through droplets released when infected individuals cough or sneeze.
HA
Hemagglutinin
HA is a common abbreviation for hemagglutinin, a protein found on the surface of influenza viruses.
binding interface
The region on a protein where it interacts with another molecule.
The binding interface refers to the specific part of a protein that comes into contact with another molecule, such as a drug target or another protein. This interaction is crucial for many biological processes.
molecular dynamics simulations
Computer models used to simulate the movement and interactions of atoms and molecules over time.
Molecular dynamics simulations are powerful tools used in computational biology to study the behavior of molecules. They allow researchers to visualize how proteins fold, interact with other molecules, and change shape over time.
enhanced sampling methods
Techniques used in simulations to explore a wider range of possible molecular conformations.
Enhanced sampling methods are essential for overcoming limitations in traditional molecular dynamics simulations. They allow researchers to explore rare events and uncover hidden details about molecular behavior.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:24|
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 | 8,931,677 | 36,715 | 243.27 | 0 hrs 6 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,777,005 | 250,327 | 35.06 | 0 hrs 41 mins |
| 3 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,478,131 | 238,654 | 35.52 | 0 hrs 41 mins |
| 4 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 7,485,928 | 245,662 | 30.47 | 0 hrs 47 mins |
| 5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,820,068 | 230,620 | 29.57 | 0 hrs 49 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,985,010 | 115,663 | 51.75 | 0 hrs 28 mins |
| 7 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,614,519 | 212,916 | 26.37 | 0 hrs 55 mins |
| 8 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,548,855 | 221,890 | 25.01 | 0 hrs 58 mins |
| 9 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,483,143 | 220,019 | 24.92 | 0 hrs 58 mins |
| 10 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,303,395 | 188,742 | 28.10 | 0 hrs 51 mins |
| 11 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,064,143 | 215,459 | 23.50 | 1 hrs 1 mins |
| 12 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,671,356 | 210,571 | 22.18 | 1 hrs 5 mins |
| 13 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,013,850 | 199,825 | 20.09 | 1 hrs 12 mins |
| 14 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 3,872,607 | 36,715 | 105.48 | 0 hrs 14 mins |
| 15 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,718,485 | 191,467 | 19.42 | 1 hrs 14 mins |
| 16 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,531,737 | 139,675 | 25.29 | 0 hrs 57 mins |
| 17 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,522,241 | 129,270 | 27.25 | 0 hrs 53 mins |
| 18 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,440,223 | 189,695 | 18.14 | 1 hrs 19 mins |
| 19 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,334,883 | 186,533 | 17.88 | 1 hrs 21 mins |
|
|
|||||||
| 20 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,259,923 | 109,471 | 29.78 | 0 hrs 48 mins |
| 21 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,948,658 | 177,826 | 16.58 | 1 hrs 27 mins |
| 22 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,898,274 | 168,899 | 17.16 | 1 hrs 24 mins |
| 23 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 2,890,612 | 179,946 | 16.06 | 1 hrs 30 mins |
| 24 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,709,757 | 174,423 | 15.54 | 1 hrs 33 mins |
| 25 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,621,043 | 164,408 | 15.94 | 1 hrs 30 mins |
| 26 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 2,548,427 | 36,715 | 69.41 | 0 hrs 21 mins |
| 27 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,547,291 | 171,725 | 14.83 | 1 hrs 37 mins |
| 28 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,478,921 | 170,473 | 14.54 | 1 hrs 39 mins |
| 29 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,392,028 | 168,470 | 14.20 | 1 hrs 41 mins |
| 30 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,391,296 | 167,945 | 14.24 | 1 hrs 41 mins |
| 31 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,357,207 | 167,390 | 14.08 | 1 hrs 42 mins |
| 32 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,314,823 | 164,656 | 14.06 | 1 hrs 42 mins |
| 33 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,208,638 | 162,980 | 13.55 | 1 hrs 46 mins |
| 34 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,033,797 | 157,037 | 12.95 | 1 hrs 51 mins |
| 35 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,006,548 | 122,829 | 16.34 | 1 hrs 28 mins |
| 36 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,663,772 | 149,417 | 11.14 | 2 hrs 9 mins |
| 37 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,549,723 | 146,129 | 10.61 | 2 hrs 16 mins |
| 38 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,532,000 | 143,050 | 10.71 | 2 hrs 14 mins |
| 39 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,475,944 | 107,410 | 13.74 | 1 hrs 45 mins |
|
|
|||||||
| 40 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,393,727 | 140,199 | 9.94 | 2 hrs 25 mins |
| 41 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,347,656 | 94,502 | 14.26 | 1 hrs 41 mins |
| 42 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,344,533 | 127,554 | 10.54 | 2 hrs 17 mins |
| 43 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,340,398 | 137,768 | 9.73 | 2 hrs 28 mins |
| 44 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,316,110 | 137,082 | 9.60 | 2 hrs 30 mins |
| 45 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,281,325 | 136,896 | 9.36 | 2 hrs 34 mins |
| 46 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,281,062 | 137,109 | 9.34 | 2 hrs 34 mins |
| 47 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,189,291 | 130,695 | 9.10 | 2 hrs 38 mins |
| 48 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,136,438 | 83,197 | 13.66 | 1 hrs 45 mins |
| 49 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 1,025,301 | 127,069 | 8.07 | 2 hrs 58 mins |
| 50 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,023,937 | 126,552 | 8.09 | 2 hrs 58 mins |
| 51 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 926,330 | 36,715 | 25.23 | 0 hrs 57 mins |
| 52 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 882,728 | 120,774 | 7.31 | 3 hrs 17 mins |
| 53 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 818,766 | 118,359 | 6.92 | 3 hrs 28 mins |
| 54 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 807,993 | 117,475 | 6.88 | 3 hrs 29 mins |
| 55 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 694,383 | 111,974 | 6.20 | 3 hrs 52 mins |
| 56 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 656,389 | 109,444 | 6.00 | 4 hrs 0 mins |
| 57 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 619,006 | 46,745 | 13.24 | 1 hrs 49 mins |
| 58 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 604,597 | 106,778 | 5.66 | 4 hrs 14 mins |
| 59 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 588,366 | 105,734 | 5.56 | 4 hrs 19 mins |
|
|
|||||||
| 60 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 567,200 | 36,715 | 15.45 | 1 hrs 33 mins |
| 61 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 532,662 | 36,715 | 14.51 | 1 hrs 39 mins |
| 62 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 399,463 | 93,559 | 4.27 | 5 hrs 37 mins |
| 63 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 394,456 | 88,100 | 4.48 | 5 hrs 22 mins |
| 64 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 364,530 | 88,193 | 4.13 | 5 hrs 48 mins |
| 65 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 355,986 | 88,478 | 4.02 | 5 hrs 58 mins |
| 66 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 344,572 | 73,827 | 4.67 | 5 hrs 9 mins |
| 67 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 315,101 | 88,107 | 3.58 | 6 hrs 43 mins |
| 68 | Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP] |
AMD | Polaris 20 XL | 314,358 | 85,907 | 3.66 | 6 hrs 34 mins |
| 69 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 258,242 | 77,160 | 3.35 | 7 hrs 10 mins |
| 70 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 209,803 | 74,824 | 2.80 | 8 hrs 34 mins |
| 71 | Quadro P1000 Mobile GP107GLM [Quadro P1000 Mobile] |
Nvidia | GP107GLM | 191,583 | 36,715 | 5.22 | 4 hrs 36 mins |
| 72 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 94,057 | 57,453 | 1.64 | 14 hrs 40 mins |
| 73 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 84,807 | 60,615 | 1.40 | 17 hrs 9 mins |
| 74 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 58,538 | 49,144 | 1.19 | 20 hrs 9 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:24|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|