RESEARCH: INFLUENZA
FOLDING PROJECT #18463 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 14,125
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project studies miniproteins, tiny proteins designed to fight diseases like the flu. They look at how changes in these miniproteins affect their ability to bind to a virus protein called hemagglutinin. Using powerful computer simulations, they hope to understand how miniproteins work and improve their design for 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 with therapeutic potential.

scientific: Pharmaceutical
Biotechnology / Drug Discovery

Miniproteins are designed proteins smaller than antibodies but larger than traditional drugs. They can be engineered to bind specific targets like viruses or bacteria, making them promising treatments for diseases.


monoclonal antibodies

Laboratory-produced antibodies that target a single antigen.

scientific: Pharmaceutical
Biotechnology / Immunotherapy

Monoclonal antibodies are lab-made proteins designed to recognize and attack specific targets in the body. They're used to treat various diseases, including cancer and autoimmune disorders.


hemagglutinin

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

scientific: Biotechnology
Virology / Influenza Virus

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


affinity maturation

The process of increasing the binding affinity of an antibody.

scientific: Biotechnology
Immunology / Antibody Engineering

Affinity maturation is like fine-tuning an antibody's ability to stick to its target. Researchers use this process to create antibodies that are more effective at fighting diseases.


molecular simulation

Computer modeling of molecular interactions.

scientific: Research & Development
Biophysics / Computational Biology

Molecular simulations use computer programs to mimic how molecules interact with each other. This helps researchers understand complex biological processes and design new drugs.


expanded ensemble simulation

A type of molecular simulation that explores multiple energy landscapes.

scientific: Research & Development
Biophysics / Computational Biology

Expanded ensemble simulations are powerful tools for studying complex systems. They allow researchers to explore a wider range of possible outcomes and gain deeper insights into how molecules behave.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:44
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:44
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 7 5700G 16 53,370 853,920 AMD
2 RYZEN 9 7950X 16-CORE 32 25,707 822,624 AMD
3 RYZEN 9 7900 12-CORE 24 24,214 581,136 AMD
4 RYZEN 7 5700X 8-CORE 16 28,050 448,800 AMD
5 RYZEN 7 5800X 8-CORE 16 26,779 428,464 AMD
6 RYZEN 7 5800X3D 8-CORE 16 26,175 418,800 AMD
7 11TH GEN CORE I7-11700K @ 3.60GHZ 16 25,404 406,464 Intel
8 RYZEN 9 5950X 16-CORE 32 12,583 402,656 AMD
9 RYZEN 7 3800X 8-CORE 16 21,246 339,936 AMD
10 12TH GEN CORE I5-12600K 16 19,415 310,640 Intel
11 RYZEN 5 5600 6-CORE 12 24,957 299,484 AMD
12 RYZEN 5 5600X 6-CORE 12 23,727 284,724 AMD
13 12TH GEN CORE I7-12700 20 12,604 252,080 Intel
14 CORE I7-9700K CPU @ 3.60GHZ 8 27,537 220,296 Intel
15 CORE I9-9900K CPU @ 3.60GHZ 16 13,045 208,720 Intel
16 RYZEN 5 3500 6-CORE 6 32,566 195,396 AMD
17 CORE I5-8400 CPU @ 2.80GHZ 6 29,582 177,492 Intel
18 RYZEN 5 3600 6-CORE 12 14,320 171,840 AMD
19 CORE I7-5930K CPU @ 3.50GHZ 12 10,723 128,676 Intel
20 CORE I7-7700K CPU @ 4.20GHZ 8 15,755 126,040 Intel
21 CORE I7-5820K CPU @ 3.30GHZ 12 9,634 115,608 Intel
22 13TH GEN CORE I7-13700 24 4,663 111,912 Intel
23 CORE I7-6950X CPU @ 3.00GHZ 20 5,393 107,860 Intel
24 12TH GEN CORE I7-12700H 20 5,160 103,200 Intel
25 CORE I7-10700T CPU @ 2.00GHZ 16 6,335 101,360 Intel
26 CORE I9-8950HK CPU @ 2.90GHZ 12 8,253 99,036 Intel
27 CORE I7-8705G CPU @ 3.10GHZ 8 11,793 94,344 Intel
28 CORE I7-6700K CPU @ 4.00GHZ 8 10,868 86,944 Intel
29 CORE I7-4790K CPU @ 4.00GHZ 8 10,166 81,328 Intel
30 CORE I7-3770K CPU @ 3.50GHZ 8 7,802 62,416 Intel
31 APPLE M1 8 7,782 62,256 Apple
32 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,504 60,032 Intel
33 APPLE M1 PRO 10 4,888 48,880 Apple
34 12TH GEN CORE I7-1270P 16 1,202 19,232 Intel