RESEARCH: INFLUENZA
FOLDING PROJECT #12437 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

TLDR; PROJECT SUMMARY AI BETA

This project studies miniproteins that block the flu virus. Scientists want to understand how these miniproteins bind to the virus and improve their design using computer simulations. This will help create better treatments for influenza.

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 engineered for therapeutic use.

Technical: Pharmaceuticals
Biotechnology / Drug Development

Miniproteins are artificially created proteins designed to have specific functions. They are smaller than traditional antibodies and offer potential advantages in drug delivery and efficacy. In this context, miniproteins are being explored as a new type of treatment for infectious diseases.


therapeutics

Substances used to treat or prevent diseases.

Technical: Pharmaceuticals
Medicine / Pharmacology

Therapeutics encompass a wide range of medical treatments designed to address various health conditions. This includes medications, therapies, and other interventions aimed at curing, preventing, or managing diseases.


infectious disease

A disease caused by the invasion and multiplication of microorganisms.

Scientific: Healthcare
Medicine / Infectious Diseases

Infectious diseases are illnesses caused by pathogens like bacteria, viruses, fungi, or parasites. These organisms can spread from person to person, animal to person, or through contaminated environments. Examples include influenza, tuberculosis, and HIV/AIDS.


hemagglutinin

A viral protein that allows influenza A virus to bind to sialic acid on cell surfaces.

Scientific: Biotechnology
Virology / Influenza Virus

Hemagglutinin (HA) is a key protein found on the surface of influenza A viruses. It plays a crucial role in infection by binding to sialic acid receptors on human cells, allowing the virus to attach and enter. HA is also involved in other processes during viral replication and spread.


influenza A (HA)

Hemagglutinin protein of influenza A virus

Scientific: Biotechnology
Virology / Influenza Virus

Influenza A (HA) refers to the hemagglutinin protein found in the influenza A virus. This protein is responsible for allowing the virus to attach to and infect human cells.


affinity maturation

The process of improving the binding affinity of a molecule to its target.

Technical: Pharmaceuticals
Biotechnology / Drug Development

Affinity maturation is a key step in developing effective drugs and therapies. It involves enhancing the ability of a molecule, such as a miniprotein, to bind tightly to its intended target, improving its efficacy.


molecular dynamics simulations

Computer simulations used to study the motion and interactions of molecules.

Technical: Research & Development
Biotechnology / Computational Biology

Molecular dynamics simulations are powerful tools used in computational biology to model the behavior of molecules. They allow researchers to visualize how molecules interact, move, and change shape over time.


enhanced sampling methods

Techniques used to accelerate molecular dynamics simulations and explore rare events.

Technical: Research & Development
Biotechnology / Computational Biology

Enhanced sampling methods are computational tools that improve the efficiency of molecular dynamics simulations. They help researchers overcome limitations in exploring complex systems and uncover rare events that would be difficult to observe through standard simulations.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:31
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 3,812,015 186,703 20.42 1 hrs 11 mins
2 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 3,742,091 149,817 24.98 0 hrs 58 mins
3 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 3,614,651 183,579 19.69 1 hrs 13 mins
4 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 2,761,165 116,808 23.64 1 hrs 1 mins
5 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 2,695,904 156,531 17.22 1 hrs 24 mins
6 TITAN X
GP102 [TITAN X] 6144
Nvidia GP102 2,683,868 164,159 16.35 1 hrs 28 mins
7 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,552,643 162,199 15.74 1 hrs 31 mins
8 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,333,760 159,020 14.68 1 hrs 38 mins
9 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,262,857 156,734 14.44 1 hrs 40 mins
10 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,233,272 156,890 14.23 1 hrs 41 mins
11 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,226,711 156,347 14.24 1 hrs 41 mins
12 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,060,674 96,837 21.28 1 hrs 8 mins
13 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,966,218 150,161 13.09 1 hrs 50 mins
14 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 1,924,336 149,374 12.88 1 hrs 52 mins
15 GeForce RTX 2070 Mobile
TU106BM [GeForce RTX 2070 Mobile]
Nvidia TU106BM 1,829,524 147,385 12.41 1 hrs 56 mins
16 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,765,538 116,805 15.12 1 hrs 35 mins
17 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,675,845 134,214 12.49 1 hrs 55 mins
18 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,530,818 138,214 11.08 2 hrs 10 mins
19 GeForce RTX 2070 Mobile
TU106M [GeForce RTX 2070 Mobile]
Nvidia TU106M 1,504,463 137,322 10.96 2 hrs 11 mins
20 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,459,404 135,993 10.73 2 hrs 14 mins
21 Radeon RX 7700S/7600(S)
Navi 33 [Radeon RX 7700S/7600(S)]
AMD Navi 33 1,397,569 133,309 10.48 2 hrs 17 mins
22 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 1,347,386 118,113 11.41 2 hrs 6 mins
23 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,337,691 89,249 14.99 1 hrs 36 mins
24 TITAN Xp
GP102 [TITAN Xp] 12150
Nvidia GP102 1,295,603 127,718 10.14 2 hrs 22 mins
25 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,267,200 34,100 37.16 0 hrs 39 mins
26 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,155,972 108,452 10.66 2 hrs 15 mins
27 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,154,740 125,512 9.20 2 hrs 37 mins
28 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,146,187 85,998 13.33 1 hrs 48 mins
29 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,131,875 122,991 9.20 2 hrs 36 mins
30 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,114,728 124,671 8.94 2 hrs 41 mins
31 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 1,110,128 124,167 8.94 2 hrs 41 mins
32 Radeon PRO W6600
Navi 23 XL [Radeon PRO W6600]
AMD Navi 23 XL 1,084,291 122,956 8.82 2 hrs 43 mins
33 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 1,033,754 119,501 8.65 2 hrs 46 mins
34 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,004,778 119,646 8.40 2 hrs 51 mins
35 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 993,394 118,302 8.40 2 hrs 51 mins
36 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 866,975 40,120 21.61 1 hrs 7 mins
37 Radeon Vega FE
Vega 10 XTX [Radeon Vega FE]
AMD Vega 10 XTX 804,108 109,800 7.32 3 hrs 17 mins
38 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 803,926 78,486 10.24 2 hrs 21 mins
39 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 761,615 109,955 6.93 3 hrs 28 mins
40 GeForce RTX 3050 6GB Laptop GPU
GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU]
Nvidia GN20-P0-R-K2 757,289 110,601 6.85 3 hrs 30 mins
41 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 723,849 106,949 6.77 3 hrs 33 mins
42 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 697,240 105,900 6.58 3 hrs 39 mins
43 GeForce GTX 1060 6GB
GP104 [GeForce GTX 1060 6GB]
Nvidia GP104 674,674 106,989 6.31 3 hrs 48 mins
44 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 536,877 92,607 5.80 4 hrs 8 mins
45 GeForce GTX Titan Z
GK110 [GeForce GTX Titan Z] 8122
Nvidia GK110 528,225 94,376 5.60 4 hrs 17 mins
46 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 488,747 95,936 5.09 4 hrs 43 mins
47 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 449,060 89,876 5.00 4 hrs 48 mins
48 GeForce GTX Titan Black
GK110 [GeForce GTX Titan Black] 5121
Nvidia GK110 448,799 91,910 4.88 4 hrs 55 mins
49 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 433,866 71,575 6.06 3 hrs 58 mins
50 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 429,899 92,481 4.65 5 hrs 10 mins
51 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 384,110 77,955 4.93 4 hrs 52 mins
52 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 366,945 90,132 4.07 5 hrs 54 mins
53 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 364,967 85,324 4.28 5 hrs 37 mins
54 GeForce GTX 1650 Ti Mobile
TU117M [GeForce GTX 1650 Ti Mobile]
Nvidia TU117M 358,595 85,086 4.21 5 hrs 42 mins
55 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 321,830 84,709 3.80 6 hrs 19 mins
56 R9 290X/390X
Hawaii/Grenada XT [R9 290X/390X]
AMD Hawaii/Grenada XT 319,745 85,685 3.73 6 hrs 26 mins
57 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 305,167 36,462 8.37 2 hrs 52 mins
58 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 258,637 82,479 3.14 7 hrs 39 mins
59 GeForce GTX 1050 Mobile
GP107M [GeForce GTX 1050 Mobile]
Nvidia GP107M 252,255 75,832 3.33 7 hrs 13 mins
60 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 227,514 73,295 3.10 7 hrs 44 mins
61 Radeon RX 580 2048SP
Polaris 20 XL [Radeon RX 580 2048SP]
AMD Polaris 20 XL 216,802 68,075 3.18 7 hrs 32 mins
62 GeForce GTX 1050 3 GB Max-Q
GP107M [GeForce GTX 1050 3 GB Max-Q]
Nvidia GP107M 210,510 73,998 2.84 8 hrs 26 mins
63 Radeon R9 285/380
Tonga PRO [Radeon R9 285/380]
AMD Tonga PRO 197,500 69,805 2.83 8 hrs 29 mins
64 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 123,213 59,467 2.07 11 hrs 35 mins
65 GeForce MX150
GP107M [GeForce MX150]
Nvidia GP107M 111,696 57,863 1.93 12 hrs 26 mins
66 Quadro M2000
GM206GL [Quadro M2000]
Nvidia GM206GL 100,090 62,393 1.60 14 hrs 58 mins
67 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 86,400 34,100 2.53 9 hrs 28 mins
68 R9 280X/HD 7900/8970 OEM
Tahiti XT [R9 280X/HD 7900/8970 OEM]
AMD Tahiti XT 84,018 57,948 1.45 16 hrs 33 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:31
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make