RESEARCH: INFLUENZA
FOLDING PROJECT #12441 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 90,490
Core: 0x22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniprotein drugs are being designed to fight flu viruses. These tiny proteins bind to a viral protein called hemagglutinin, stopping the virus from infecting cells. Scientists want to understand how these miniproteins work so they can design even better ones. They're using computer simulations to study how the miniproteins attach to and detach from hemagglutinin.

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.

miniproteins

Small, engineered proteins with specific functions.

Technical: Biopharmaceuticals
Biotechnology / Therapeutic Development

Miniproteins are novel therapeutic agents smaller than traditional antibodies. They offer advantages like improved delivery and production efficiency. Research focuses on designing miniproteins to target specific diseases.


therapeutics

Agents used to treat or prevent diseases.

Technical: Healthcare
Biotechnology / Drug Development

Therapeutics encompass a wide range of medical interventions aimed at treating or preventing diseases. They include drugs, biologics, gene therapies, and other innovative approaches.


infectious disease

A disease caused by pathogenic microorganisms.

Scientific: Healthcare
Medicine / Infectious Diseases

Infectious diseases are illnesses resulting from the invasion and multiplication of harmful microorganisms like bacteria, viruses, fungi, or parasites within the body.


hemagglutinin

A viral protein that allows attachment to host cells.

Scientific: Biotechnology
Virology / Influenza

Hemagglutinin is a crucial surface protein found on influenza viruses. It enables the virus to bind to and enter host cells, initiating infection.


H1 influenza A

Subtype of influenza A virus

Scientific: Biotechnology
Virology / Influenza

H1N1 is a subtype of the influenza A virus. It is characterized by two specific surface proteins: hemagglutinin (H1) and neuraminidase (N1). This subtype has caused several pandemics throughout history.


sialic acid

A type of sugar molecule found on cell surfaces.

Scientific: Biotechnology
Biochemistry / Glycobiology

Sialic acid is a complex sugar molecule often attached to proteins and lipids on the surface of cells. It plays various roles in cellular recognition, signaling, and immune responses.


affinity maturation

Process of improving the binding affinity of antibodies.

Technical: Pharmaceuticals
Biotechnology / Antibody Engineering

Affinity maturation is a crucial step in antibody engineering. It involves introducing mutations into an antibody's DNA to enhance its ability to bind to a specific target with higher affinity and specificity.


molecular dynamics simulations

Computer models to simulate molecular movements and interactions.

Technical: Biotechnology
Computational Biology / Drug Discovery

Molecular dynamics simulations are computational tools used to study the behavior of molecules at an atomic level. They can predict how molecules interact with each other, their movement, and energy changes, aiding in drug design and understanding biological processes.


enhanced sampling methods

Techniques to accelerate molecular simulations.

Technical: Biotechnology
Computational Biology / Molecular Simulation

Enhanced sampling methods are computational strategies used in molecular simulations to explore a wider range of molecular configurations and overcome the limitations of traditional simulation techniques. They allow researchers to study rare events and complex systems more efficiently.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:28
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 3,827,433 187,154 20.45 1 hrs 10 mins
2 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 3,776,769 139,380 27.10 0 hrs 53 mins
3 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 3,589,616 183,288 19.58 1 hrs 14 mins
4 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,601,550 163,202 15.94 1 hrs 30 mins
5 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 2,581,786 95,791 26.95 0 hrs 53 mins
6 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,263,346 157,505 14.37 1 hrs 40 mins
7 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,259,874 157,468 14.35 1 hrs 40 mins
8 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,253,204 154,463 14.59 1 hrs 39 mins
9 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,005,937 151,229 13.26 1 hrs 49 mins
10 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,998,276 127,018 15.73 1 hrs 32 mins
11 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,853,143 128,427 14.43 1 hrs 40 mins
12 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 1,819,410 146,477 12.42 1 hrs 56 mins
13 GeForce RTX 2070 Mobile
TU106BM [GeForce RTX 2070 Mobile]
Nvidia TU106BM 1,817,775 145,620 12.48 1 hrs 55 mins
14 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,711,381 135,869 12.60 1 hrs 54 mins
15 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 1,650,823 126,719 13.03 1 hrs 51 mins
16 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,555,428 138,684 11.22 2 hrs 8 mins
17 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,527,455 138,071 11.06 2 hrs 10 mins
18 GeForce RTX 2070 Mobile
TU106M [GeForce RTX 2070 Mobile]
Nvidia TU106M 1,487,035 136,762 10.87 2 hrs 12 mins
19 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,371,716 90,444 15.17 1 hrs 35 mins
20 Radeon RX 7700S/7600(S)
Navi 33 [Radeon RX 7700S/7600(S)]
AMD Navi 33 1,339,327 131,686 10.17 2 hrs 22 mins
21 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,288,486 34,100 37.79 0 hrs 38 mins
22 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 1,260,952 128,033 9.85 2 hrs 26 mins
23 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,188,772 104,708 11.35 2 hrs 7 mins
24 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 1,165,507 124,928 9.33 2 hrs 34 mins
25 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,146,708 125,582 9.13 2 hrs 38 mins
26 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,146,231 121,097 9.47 2 hrs 32 mins
27 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,142,636 82,281 13.89 1 hrs 44 mins
28 Radeon PRO W6600
Navi 23 XL [Radeon PRO W6600]
AMD Navi 23 XL 1,136,672 125,160 9.08 2 hrs 39 mins
29 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 996,694 117,666 8.47 2 hrs 50 mins
30 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 971,623 70,224 13.84 1 hrs 44 mins
31 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 942,142 117,266 8.03 2 hrs 59 mins
32 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 926,656 112,633 8.23 2 hrs 55 mins
33 Radeon Vega FE
Vega 10 XTX [Radeon Vega FE]
AMD Vega 10 XTX 853,559 113,105 7.55 3 hrs 11 mins
34 Quadro M6000
GM200GL [Quadro M6000]
Nvidia GM200GL 847,482 113,222 7.49 3 hrs 12 mins
35 GeForce RTX 3050 6GB Laptop GPU
GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU]
Nvidia GN20-P0-R-K2 823,584 112,804 7.30 3 hrs 17 mins
36 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 799,129 111,082 7.19 3 hrs 20 mins
37 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 798,960 102,961 7.76 3 hrs 6 mins
38 TITAN Xp
GP102 [TITAN Xp] 12150
Nvidia GP102 783,958 106,613 7.35 3 hrs 16 mins
39 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 777,177 110,411 7.04 3 hrs 25 mins
40 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 768,054 42,825 17.93 1 hrs 20 mins
41 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 764,218 109,445 6.98 3 hrs 26 mins
42 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 752,391 108,888 6.91 3 hrs 28 mins
43 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 738,968 108,252 6.83 3 hrs 31 mins
44 TITAN X
GP102 [TITAN X] 6144
Nvidia GP102 727,662 100,601 7.23 3 hrs 19 mins
45 GeForce GTX 1060 6GB
GP104 [GeForce GTX 1060 6GB]
Nvidia GP104 701,394 107,756 6.51 3 hrs 41 mins
46 GeForce RTX 3050 Mobile
GA107M [GeForce RTX 3050 Mobile]
Nvidia GA107M 651,510 102,961 6.33 3 hrs 48 mins
47 Quadro T1200 Mobile
TU117GLM [Quadro T1200 Mobile]
Nvidia TU117GLM 574,057 99,620 5.76 4 hrs 10 mins
48 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 538,824 96,370 5.59 4 hrs 18 mins
49 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 530,521 96,152 5.52 4 hrs 21 mins
50 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 474,153 92,207 5.14 4 hrs 40 mins
51 GeForce GTX Titan Z
GK110 [GeForce GTX Titan Z] 8122
Nvidia GK110 441,274 93,663 4.71 5 hrs 6 mins
52 GeForce GTX Titan Black
GK110 [GeForce GTX Titan Black] 5121
Nvidia GK110 415,170 92,236 4.50 5 hrs 20 mins
53 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 411,916 45,614 9.03 2 hrs 39 mins
54 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 404,330 92,337 4.38 5 hrs 29 mins
55 GeForce GTX 1650 Ti Mobile
TU117M [GeForce GTX 1650 Ti Mobile]
Nvidia TU117M 367,345 85,892 4.28 5 hrs 37 mins
56 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 361,002 90,343 4.00 6 hrs 0 mins
57 RTX A500 Laptop GPU
GA107GLM [RTX A500 Laptop GPU]
Nvidia GA107GLM 341,368 85,926 3.97 6 hrs 2 mins
58 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 334,685 83,379 4.01 5 hrs 59 mins
59 R9 290X/390X
Hawaii/Grenada XT [R9 290X/390X]
AMD Hawaii/Grenada XT 327,079 85,378 3.83 6 hrs 16 mins
60 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 324,960 34,100 9.53 2 hrs 31 mins
61 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 316,288 85,097 3.72 6 hrs 27 mins
62 GeForce GTX 1050 Mobile
GP107M [GeForce GTX 1050 Mobile]
Nvidia GP107M 252,308 76,009 3.32 7 hrs 14 mins
63 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 226,058 72,654 3.11 7 hrs 43 mins
64 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 223,444 72,880 3.07 7 hrs 50 mins
65 Radeon R9 285/380
Tonga PRO [Radeon R9 285/380]
AMD Tonga PRO 198,892 70,193 2.83 8 hrs 28 mins
66 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 188,888 68,833 2.74 8 hrs 45 mins
67 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 162,126 42,130 3.85 6 hrs 14 mins
68 GeForce GTX 760
GK104 [GeForce GTX 760] 2258
Nvidia GK104 123,446 49,294 2.50 9 hrs 35 mins
69 GeForce MX150
GP107M [GeForce MX150]
Nvidia GP107M 107,469 55,492 1.94 12 hrs 24 mins
70 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 86,400 34,100 2.53 9 hrs 28 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:28
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make