RESEARCH: INFLUENZA
FOLDING PROJECT #18483 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 93,432
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are tiny proteins that can be designed to fight diseases. Researchers want to use computer simulations to understand how changes in miniproteins affect their ability to bind to viruses, like the flu. This could help design better treatments.

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.

Scientific: Pharmaceutical
Biotechnology / Drug Discovery

Miniproteins are small, engineered proteins designed to treat diseases. They are larger than small-molecule drugs but smaller than antibodies, making them easier to produce and potentially more effective.


Monoclonal Antibodies

Laboratory-produced antibodies that target specific antigens.

Scientific: Pharmaceutical
Biotechnology / Immunotherapy

Monoclonal antibodies are lab-made versions of our body's natural defense system. They recognize and attack specific targets (antigens) on cells or molecules, often used to treat diseases like cancer.


Hemagglutinin

Viral protein that binds to sialic acid on cell surfaces.

Scientific: Biopharmaceutical
Virology / Influenza Virus

Hemagglutinin is a protein found on the surface of influenza viruses. It helps the virus attach to and enter human cells by binding to sugar molecules called sialic acid.


Affinity Maturation

Process of improving the binding affinity of a protein.

Scientific: Pharmaceutical
Biotechnology / Protein Engineering

Affinity maturation is like fine-tuning a protein's ability to stick to its target. Scientists use this process to create proteins that bind more strongly and effectively.


Molecular Simulation

Computer-based modeling of molecular interactions.

Scientific: Pharmaceutical
Biophysics / Computational Drug Discovery

Molecular simulations use computer programs to mimic how molecules behave and interact. This helps scientists understand complex biological processes and design new drugs.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:14
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:14
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 19,021 1,217,344 AMD
2 RYZEN 9 7950X 16-CORE 32 30,786 985,152 AMD
3 RYZEN 7 7700X 8-CORE 16 38,545 616,720 AMD
4 RYZEN 9 5950X 16-CORE 32 15,896 508,672 AMD
5 12TH GEN CORE I7-12700K 20 21,329 426,580 Intel
6 RYZEN 7 5700X 8-CORE 16 26,655 426,480 AMD
7 XEON PLATINUM 8370C CPU @ 2.80GHZ 16 18,860 301,760 Intel
8 RYZEN 7 5700G 16 17,966 287,456 AMD
9 RYZEN 9 3900X 12-CORE 24 11,919 286,056 AMD
10 RYZEN 9 5900 12-CORE 24 11,230 269,520 AMD
11 12TH GEN CORE I7-12700 20 13,234 264,680 Intel
12 CORE I7-10700K CPU @ 3.80GHZ 16 15,651 250,416 Intel
13 11TH GEN CORE I9-11900K @ 3.50GHZ 16 9,501 152,016 Intel
14 CORE I7-10700T CPU @ 2.00GHZ 16 5,844 93,504 Intel