RESEARCH: INFLUENZA
FOLDING PROJECT #18477 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 93,429
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are tiny proteins being designed to fight diseases like the flu. Scientists want to understand how miniproteins bind to viruses and how to make them even better at fighting infection. They're using computer simulations to study this process in detail, hoping to create more effective miniprotein drugs.

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 designed for therapeutic use.

Technical: Pharmaceuticals
Biotechnology / Drug Discovery

Miniproteins are engineered proteins smaller than antibodies but larger than small molecules. They can be designed to bind specific targets in the body, making them promising candidates for treating diseases.


biomolecules

Molecules essential to life processes.

Scientific: Biopharmaceuticals
Biotechnology / Structural Biology

Biomolecules are the building blocks of living organisms. This includes large molecules like proteins, carbohydrates, and nucleic acids, as well as smaller molecules like lipids.


monoclonal antibodies

Laboratory-produced antibodies that target specific antigens.

Technical: Pharmaceuticals
Biotechnology / Immunotherapy

Monoclonal antibodies are a type of immunotherapy treatment. They are engineered to bind to specific proteins on the surface of cancer cells or other harmful targets.


hemagglutinin

A viral protein that allows influenza to attach to host cells.

Scientific: Biopharmaceuticals
Virology / Influenza Virus

Hemagglutinin is a key protein on the surface of the influenza virus. It helps the virus attach to and enter host cells.


H1 influenza A

A subtype of the influenza A virus.

Scientific: Public Health
Virology / Influenza Virus

H1N1 is a common type of influenza virus. It's characterized by its hemagglutinin (HA) protein subtype.


affinity maturation

The process of improving the binding affinity of an antibody.

Technical: Pharmaceuticals
Biotechnology / Immunology

Affinity maturation is a key process in developing effective antibodies. It involves making small changes to the antibody's structure to increase its ability to bind to its target.


molecular simulation

A computer-based method for modeling molecular interactions.

Technical: Biotechnology
Computational Biology / Drug Discovery

Molecular simulation uses computer algorithms to mimic the behavior of molecules. This helps researchers understand how molecules interact and can be used in drug discovery.


expanded ensemble simulations

A type of molecular simulation that explores a wider range of possible energy states.

Technical: Biotechnology
Computational Biology / Drug Discovery

Expanded ensemble simulations help overcome the limitations of traditional simulations by allowing for exploration of more complex systems and protein dynamics.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:24
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:24
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 EPYC 7B12 64-CORE 64 18,174 1,163,136 AMD
2 RYZEN 9 7950X 16-CORE 32 29,662 949,184 AMD
3 RYZEN 9 7900 12-CORE 24 31,658 759,792 AMD
4 RYZEN 7 7700X 8-CORE 16 37,407 598,512 AMD
5 11TH GEN CORE I7-11700K @ 3.60GHZ 16 26,591 425,456 Intel
6 RYZEN 9 5950X 16-CORE 32 12,470 399,040 AMD
7 RYZEN 7 5800X3D 8-CORE 16 23,767 380,272 AMD
8 RYZEN 7 5700X 8-CORE 16 22,891 366,256 AMD
9 RYZEN 7 5800X 8-CORE 16 20,388 326,208 AMD
10 RYZEN 9 5900X 12-CORE 24 13,069 313,656 AMD
11 XEON PLATINUM 8370C CPU @ 2.80GHZ 16 18,202 291,232 Intel
12 RYZEN 9 3900X 12-CORE 24 11,844 284,256 AMD
13 12TH GEN CORE I7-12700F 20 13,796 275,920 Intel
14 12TH GEN CORE I7-12700 20 13,025 260,500 Intel
15 RYZEN 7 3800X 8-CORE 16 16,182 258,912 AMD
16 CORE I7-10700K CPU @ 3.80GHZ 16 15,088 241,408 Intel
17 RYZEN 7 3700X 8-CORE 16 9,486 151,776 AMD
18 EPYC 7262 8-CORE 16 8,787 140,592 AMD
19 12TH GEN CORE I7-12700H 20 5,514 110,280 Intel
20 CORE I7-10700T CPU @ 2.00GHZ 16 5,589 89,424 Intel
21 XEON CPU L5640 @ 2.27GHZ 24 2,439 58,536 Intel
22 XEON CPU E5-2697 V2 @ 2.70GHZ 24 1,894 45,456 Intel