RESEARCH: INFLUENZA
FOLDING PROJECT #12425 PROFILE

PROJECT TEAM

Manager(s): Dylan Novack
Institution: Temple University
Project URL: View Project Website

WORK UNIT INFO

Atoms: 90,554
Core: 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

Note: Glossary items are a high level summary and may not be 100% accurate.

Miniprotein

A small protein designed for therapeutic purposes.

Technical: Pharmaceuticals
Biotechnology / Drug Development

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.

Technical: Pharmaceuticals
Biotechnology / Immunotherapy

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.

Scientific: Biotechnology
Virology / Influenza

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.

Scientific: Biotechnology
Virology / Influenza

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.

Technical: Pharmaceuticals
Biotechnology / Protein Engineering

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.

Technical: Pharmaceuticals
Biotechnology / Computational Biology

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.

Technical: Pharmaceuticals
Biotechnology / Computational Biology

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
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
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
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