RESEARCH: INFLUENZA
FOLDING PROJECT #18475 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 93,437
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project studies miniproteins – tiny proteins that can be designed to fight diseases. Scientists are using computer simulations to understand how changes in these miniproteins affect their ability to bind to viruses like influenza. The goal is to design even better 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 engineered for therapeutic purposes.

scientific: pharmaceuticals
biotechnology / drug discovery

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


therapeutics

Agents used for treating diseases or medical conditions.

scientific: pharmaceuticals
medicine / drug development

Therapeutics are medications and treatments used to diagnose, prevent, or treat diseases. They can range from simple painkillers to complex biologics.


hemagglutinin

A viral protein that binds to host cells.

scientific: biotechnology, pharmaceuticals
virology / immunology

Hemagglutinin is a protein found on the surface of influenza viruses. It helps the virus attach to and enter human cells.


affinity maturation

The process of improving the binding affinity of an antibody.

scientific: biotechnology, pharmaceuticals
immunology / antibody engineering

Affinity maturation is a natural process by which antibodies become more effective at binding to their target antigens. It involves random mutations in the genes that encode antibodies, followed by selection for those with improved binding.


molecular simulation

A computational method for modeling the behavior of molecules.

scientific: biotechnology
computer science / bioinformatics

Molecular simulation is a technique used to study the behavior of molecules using computers. By simulating the interactions between atoms and molecules, researchers can gain insights into chemical reactions, protein folding, and other biological processes.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:27
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:27
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 17,795 1,138,880 AMD
2 RYZEN 9 7950X 16-CORE 32 34,578 1,106,496 AMD
3 RYZEN 9 7900X 12-CORE 24 32,535 780,840 AMD
4 RYZEN 7 7700X 8-CORE 16 42,988 687,808 AMD
5 RYZEN 9 5950X 16-CORE 32 16,960 542,720 AMD
6 RYZEN 9 5900X 12-CORE 24 21,636 519,264 AMD
7 RYZEN 7 5700X 8-CORE 16 21,969 351,504 AMD
8 RYZEN 7 5800X 8-CORE 16 21,274 340,384 AMD
9 RYZEN 7 5800X3D 8-CORE 16 17,229 275,664 AMD
10 RYZEN 7 5700G 16 16,359 261,744 AMD
11 12TH GEN CORE I7-12700 20 12,111 242,220 Intel
12 11TH GEN CORE I9-11900K @ 3.50GHZ 16 13,407 214,512 Intel
13 XEON PLATINUM 8370C CPU @ 2.80GHZ 16 9,961 159,376 Intel
14 CORE I9-7940X CPU @ 3.10GHZ 28 5,528 154,784 Intel
15 12TH GEN CORE I7-12700H 20 6,390 127,800 Intel
16 RYZEN 7 3700X 8-CORE 16 7,734 123,744 AMD
17 CORE I7-10700T CPU @ 2.00GHZ 16 5,014 80,224 Intel
18 XEON CPU E5-2697 V2 @ 2.70GHZ 24 2,609 62,616 Intel