RESEARCH: INFLUENZA
FOLDING PROJECT #12408 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 14,112
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project explores how miniproteins (small proteins) work by studying their binding to a virus protein called hemagglutinin. Using computer simulations, they aim to understand how changes in the miniprotein affect its binding strength and ultimately develop better miniprotein drugs against viruses.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Designed miniproteins are a class of biomolecules with intermediate sizes—larger than small-molecule drugs, but smaller than monoclonal antibodies.

Miniproteins can be computationally designed to tightly bind protein targets for use as potential therapeutics, a promising new avenue for treating 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 improved their binding through affinity maturation (Chevalier et al.

2017).

Many of the mutations seen in affinity-matured sequences are not found in the binding interface, and it remains an open question how these changes lead to higher affinity.

Furthermore, many of the computational predictions of how single-point mutations affect binding deviate significantly from the experimentally determined values. Could all-atom molecular simulation approaches achieve more accurate predictions? In this set of simulations, we aim to use massively parallel expanded ensemble simulations to predict mutational effects on affinities to hemagglutinin.

By pairing these simulations with other simulations aimed at modeling the binding reactions of these miniproteins to hemagglutinin, we aim to have a relatively complete picture of a miniprotein-target binding reaction and how mutations affect it.

These studies are a large-scale investigation on how miniprotein binding reactions work in atomic detail, towards a better understanding of computational design and modulation of miniprotein therapeutics.

RELATED TERMS GLOSSARY AI BETA

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

miniproteins

Small proteins with therapeutic potential.

Scientific: Pharmaceutical
Biotechnology / Drug Development

Miniproteins are a new class of drugs that are smaller than traditional antibodies but larger than small molecules. They can be designed to bind specific targets in the body, making them useful for treating a variety of diseases.


biomolecules

Molecules essential for life processes.

Scientific: Pharmaceutical
Biotechnology / Drug Development

Biomolecules are the building blocks of all living organisms. They include proteins, carbohydrates, lipids, and nucleic acids, which perform a wide range of functions in cells.


therapeutics

Agents used to treat diseases.

Scientific: Pharmaceutical
Pharmacology / Drug Development

Therapeutics are substances that are used to prevent, diagnose, or treat disease. They can be administered in various forms, such as pills, injections, or patches.


hemagglutinin

Viral protein that binds to host cell surfaces.

Scientific: Biopharmaceutical
Virology / Infectious Diseases

Hemagglutinin is a viral protein found on the surface of influenza viruses. It allows the virus to attach to and enter host cells.


H1

Hemagglutinin subtype 1 influenza A virus.

Technical: Biopharmaceutical
Virology / Influenza Virus

H1 is a specific type of hemagglutinin protein found on influenza A viruses. It determines the virus's ability to infect certain host cells.


affinity maturation

Process of enhancing antibody binding affinity.

Scientific: Biopharmaceutical
Immunology / Antibody Engineering

Affinity maturation is a process by which antibodies are modified to bind more strongly to their target antigens. This process is essential for the development of effective vaccines and therapies.


molecular simulation

Computer-based modeling of molecular interactions.

Scientific: Biotechnology
Computational Biology / Drug Discovery

Molecular simulation is a powerful technique that allows researchers to study the behavior of molecules at the atomic level. It can be used to predict how drugs will interact with their targets and to design new therapies.


expanded ensemble simulations

Simulation technique for studying multiple conformational states.

Scientific: Biotechnology
Computational Biology / Drug Discovery

Expanded ensemble simulations are a type of computational method used to study the behavior of molecules in different energy states. This allows researchers to gain a more complete understanding of how molecules function.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:46
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:46
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 12TH GEN CORE I9-12900K 24 45,311 1,087,464 Intel
2 RYZEN 9 7950X 16-CORE 32 32,564 1,042,048 AMD
3 RYZEN 9 7900 12-CORE 24 27,431 658,344 AMD
4 RYZEN 7 5700G 16 36,827 589,232 AMD
5 13TH GEN CORE I9-13900K 32 18,115 579,680 Intel
6 RYZEN 7 5700X 8-CORE 16 31,628 506,048 AMD
7 12TH GEN CORE I5-12400F 12 41,227 494,724 Intel
8 RYZEN 7 5800X3D 8-CORE 16 30,014 480,224 AMD
9 RYZEN 9 5950X 16-CORE 32 14,656 468,992 AMD
10 RYZEN 7 3800X 8-CORE 16 27,914 446,624 AMD
11 RYZEN 5 7600 6-CORE 12 36,279 435,348 AMD
12 RYZEN 9 5900X 12-CORE 24 17,579 421,896 AMD
13 CORE I7-7820X CPU @ 3.60GHZ 16 26,343 421,488 Intel
14 RYZEN 7 5800X 8-CORE 16 24,482 391,712 AMD
15 RYZEN 9 7900X 12-CORE 24 16,099 386,376 AMD
16 CORE I9-14900K 32 11,654 372,928 Intel
17 XEON CPU E5-2696 V4 @ 2.20GHZ 44 8,316 365,904 Intel
18 APPLE M2 8 43,200 345,600 Apple
19 13TH GEN CORE I5-13600K 14 22,811 319,354 Intel
20 12TH GEN CORE I5-12400 12 24,205 290,460 Intel
21 RYZEN 5 5500 12 22,902 274,824 AMD
22 RYZEN 9 3900X 12-CORE 24 11,268 270,432 AMD
23 RYZEN 5 5600X 6-CORE 12 21,175 254,100 AMD
24 CORE I7-10700K CPU @ 3.80GHZ 16 15,810 252,960 Intel
25 RYZEN 5 5600 6-CORE 12 20,962 251,544 AMD
26 CORE I7-6950X CPU @ 3.00GHZ 20 12,051 241,020 Intel
27 12TH GEN CORE I7-12700F 20 11,481 229,620 Intel
28 13TH GEN CORE I7-13700 24 8,817 211,608 Intel
29 RYZEN 7 3700X 8-CORE 16 12,269 196,304 AMD
30 CORE I5-8600K CPU @ 3.60GHZ 6 31,994 191,964 Intel
31 CORE I7-9700 CPU @ 3.00GHZ 8 23,629 189,032 Intel
32 RYZEN 5 3600 6-CORE 12 15,663 187,956 AMD
33 RYZEN 5 3600X 6-CORE 12 15,392 184,704 AMD
34 CORE I7-7700K CPU @ 4.20GHZ 8 20,272 162,176 Intel
35 CORE I9-8950HK CPU @ 2.90GHZ 12 13,247 158,964 Intel
36 XEON CPU E5-2697 V2 @ 2.70GHZ 24 6,116 146,784 Intel
37 CORE I7-5930K CPU @ 3.50GHZ 12 11,887 142,644 Intel
38 CORE I7-6700K CPU @ 4.00GHZ 8 16,440 131,520 Intel
39 APPLE M1 PRO 10 11,878 118,780 Apple
40 CORE I7-10700T CPU @ 2.00GHZ 16 6,879 110,064 Intel
41 XEON CPU E3-1270 V5 @ 3.60GHZ 8 13,233 105,864 Intel
42 CORE I7-8700 CPU @ 3.20GHZ 12 8,702 104,424 Intel
43 CORE I7-8705G CPU @ 3.10GHZ 8 12,395 99,160 Intel
44 XEON CPU E5-2660 V3 @ 2.60GHZ 20 4,892 97,840 Intel
45 CORE I7-4770HQ CPU @ 2.20GHZ 8 10,826 86,608 Intel
46 CORE I5-5675R CPU @ 3.10GHZ 4 21,261 85,044 Intel
47 12TH GEN CORE I7-12700H 20 4,099 81,980 Intel
48 CORE I5-4690 CPU @ 3.50GHZ 4 18,154 72,616 Intel
49 XEON CPU X5680 @ 3.33GHZ 12 5,979 71,748 Intel
50 CORE I5-6600K CPU @ 3.50GHZ 4 17,016 68,064 Intel
51 CORE I5-6500 CPU @ 3.20GHZ 4 16,753 67,012 Intel
52 CORE I7-8700K CPU @ 3.70GHZ 12 5,574 66,888 Intel
53 CORE I5-6600T CPU @ 2.70GHZ 4 16,677 66,708 Intel
54 CORE I5-6400 CPU @ 2.70GHZ 4 15,489 61,956 Intel
55 XEON CPU E3-1245 V3 @ 3.40GHZ 8 7,621 60,968 Intel
56 XEON CPU E5-1630 V3 @ 3.70GHZ 8 7,348 58,784 Intel
57 CORE I5-4590 CPU @ 3.30GHZ 4 14,636 58,544 Intel
58 CORE I7-7700HQ CPU @ 2.80GHZ 8 7,020 56,160 Intel
59 CORE I5-9300H CPU @ 2.40GHZ 8 6,716 53,728 Intel
60 CORE I5-4670 CPU @ 3.40GHZ 4 13,292 53,168 Intel
61 CORE I5-3470S CPU @ 2.90GHZ 4 12,124 48,496 Intel
62 CORE I7-3770 CPU @ 3.40GHZ 8 6,002 48,016 Intel
63 CORE I7-4770K CPU @ 3.50GHZ 8 5,637 45,096 Intel
64 RYZEN 7 3750H 8 5,392 43,136 AMD
65 EPYC 7B12 64-CORE 64 656 41,984 AMD
66 CORE I7-4850HQ CPU @ 2.30GHZ 8 5,070 40,560 Intel
67 CORE I7-3770K CPU @ 3.50GHZ 8 4,847 38,776 Intel
68 CORE I5-3570K CPU @ 3.40GHZ 4 9,414 37,656 Intel
69 12TH GEN CORE I7-12700 20 1,470 29,400 Intel
70 12TH GEN CORE I5-12600KF 16 1,796 28,736 Intel
71 CORE I7-7600U CPU @ 2.80GHZ 4 6,641 26,564 Intel
72 APPLE M1 8 3,124 24,992 Apple
73 CORE I7-2760QM CPU @ 2.40GHZ 8 2,943 23,544 Intel
74 CORE I7-4500U CPU @ 1.80GHZ 4 5,323 21,292 Intel
75 CORE I5-5200U CPU @ 2.20GHZ 4 5,030 20,120 Intel
76 CORE I5-2400 CPU @ 3.10GHZ 4 4,130 16,520 Intel
77 CORE I3-6006U CPU @ 2.00GHZ 4 3,199 12,796 Intel