RESEARCH: INFLUENZA
FOLDING PROJECT #18468 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 93,427
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are small proteins being developed as new drugs to fight diseases like the flu. Scientists are using powerful computer simulations to understand how miniproteins bind to viruses and how changes in their design can improve their effectiveness.

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: Pharmaceuticals
Biotechnology / Drug Design

Miniproteins are engineered proteins smaller than antibodies but larger than small molecules. They are designed to bind specific targets in the body and are being investigated as potential treatments for various diseases.


therapeutics

Substances used to treat or prevent diseases.

Scientific: Pharmaceuticals
Biotechnology / Drug Development

Therapeutics are medical treatments used to manage and cure illnesses. This can include medications, therapies, and other interventions aimed at restoring health.


hemagglutinin

A viral protein that binds to sialic acid on cell surfaces.

Scientific: Pharmaceuticals
Biotechnology / Virology

Hemagglutinin is a protein found on the surface of influenza viruses. It allows the virus to attach to and infect host cells by binding to sialic acid, a sugar molecule present on cell surfaces.


affinity maturation

The process of increasing the binding affinity of antibodies.

Scientific: Pharmaceuticals
Biotechnology / Immunology

Affinity maturation is a biological process where antibodies are genetically modified to enhance their ability to bind to specific targets. This makes them more effective at recognizing and neutralizing pathogens.


molecular simulation

A computer-based method for simulating the behavior of molecules.

Scientific: Research
Biotechnology / Computational Biology

Molecular simulation is a technique used in computational biology to model the interactions between atoms and molecules. This allows scientists to study complex biological processes at an atomic level.


expanded ensemble

A type of molecular simulation technique.

Scientific: Research
Biotechnology / Computational Biology

Expanded ensemble simulations are a powerful computational method used to study complex systems with multiple energy states. By sampling a wider range of configurations, they provide more accurate predictions about the system's behavior.


mutational effects

The changes in protein function caused by mutations.

Scientific: Research
Biotechnology / Genomics

Mutational effects refer to the alterations in a protein's structure and function that result from changes in its DNA sequence. These changes can have significant implications for biological processes and disease development.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:38
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:38
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 18,410 1,178,240 AMD
2 RYZEN 9 7950X 16-CORE 32 30,358 971,456 AMD
3 RYZEN 7 7700X 8-CORE 16 42,685 682,960 AMD
4 RYZEN 9 5950X 16-CORE 32 16,227 519,264 AMD
5 RYZEN 7 5800X3D 8-CORE 16 31,490 503,840 AMD
6 12TH GEN CORE I7-12700K 20 23,675 473,500 Intel
7 RYZEN 7 5700X 8-CORE 16 29,491 471,856 AMD
8 RYZEN 9 5900X 12-CORE 24 16,556 397,344 AMD
9 RYZEN 9 3900X 12-CORE 24 13,530 324,720 AMD
10 RYZEN 7 5700G 16 18,569 297,104 AMD
11 RYZEN 7 3800X 8-CORE 16 16,962 271,392 AMD
12 12TH GEN CORE I7-12700 20 13,451 269,020 Intel
13 XEON PLATINUM 8370C CPU @ 2.80GHZ 16 15,658 250,528 Intel
14 CORE I7-10700K CPU @ 3.80GHZ 16 15,022 240,352 Intel
15 RYZEN 7 5800X 8-CORE 16 13,210 211,360 AMD
16 11TH GEN CORE I9-11900K @ 3.50GHZ 16 9,723 155,568 Intel
17 RYZEN 7 3700X 8-CORE 16 9,647 154,352 AMD
18 XEON CPU E5-2697 V2 @ 2.70GHZ 24 2,641 63,384 Intel