RESEARCH: INFLUENZA
FOLDING PROJECT #18474 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 14,112
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are tiny proteins being designed as new medicines. This project uses computer simulations to understand how miniproteins bind to a viral protein, and how changing the miniprotein's design can improve its binding. This could lead to better treatments for diseases like the flu.

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, engineered proteins with therapeutic potential.

Technical: Pharmaceutical
Biotechnology / Drug Design

Miniproteins are a new class of drugs that are smaller than traditional antibodies. They can be designed to bind to specific targets in the body, making them useful for treating a variety of diseases.


therapeutics

Substances used for treating diseases or medical conditions.

Scientific: Pharmaceutical
Biotechnology / Drug Discovery

Therapeutics are medications or treatments used to prevent, diagnose, or cure diseases. They can include drugs, biologics, and other therapies.


hemagglutinin

A viral protein that binds to sialic acid on host cells.

Scientific: Biomedical Research
Virology / Influenza Research

Hemagglutinin is a protein found on the surface of influenza viruses. It helps the virus attach to and enter human cells. Scientists are studying hemagglutinin to develop new antiviral drugs.


affinity maturation

The process of increasing the binding affinity of an antibody.

Technical: Biotechnology
Immunology / Antibody Engineering

Affinity maturation is a process that improves the ability of antibodies to bind to their target antigens. This process is important for developing effective vaccines and immunotherapies.


molecular simulation

A computational method for modeling the behavior of molecules.

Technical: Biotechnology
Computational Biology / Drug Design

Molecular simulations are computer programs that simulate the movements and interactions of atoms and molecules. This technique is used to study various biological processes and design new drugs.

PROJECT FOLDING PPD AVERAGES BY GPU

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

Data as of Sunday, 26 April 2026 03:28:28
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 12TH GEN CORE I9-12900K 24 51,281 1,230,744 Intel
2 EPYC 7B12 64-CORE 64 13,418 858,752 AMD
3 RYZEN 7 5700G 16 47,658 762,528 AMD
4 RYZEN 7 7700X 8-CORE 16 40,662 650,592 AMD
5 RYZEN 7 5700X 8-CORE 16 25,832 413,312 AMD
6 11TH GEN CORE I7-11700K @ 3.60GHZ 16 24,441 391,056 Intel
7 RYZEN 5 5600 6-CORE 12 26,935 323,220 AMD
8 RYZEN 7 3800X 8-CORE 16 20,137 322,192 AMD
9 CORE I9-7940X CPU @ 3.10GHZ 28 10,625 297,500 Intel
10 CORE I7-10700K CPU @ 3.80GHZ 16 16,974 271,584 Intel
11 12TH GEN CORE I7-12700 20 13,393 267,860 Intel
12 RYZEN 9 5900X 12-CORE 24 10,211 245,064 AMD
13 RYZEN 5 5600X 6-CORE 12 16,926 203,112 AMD
14 11TH GEN CORE I9-11900K @ 3.50GHZ 16 12,309 196,944 Intel
15 RYZEN 5 3500 6-CORE 6 30,598 183,588 AMD
16 CORE I7-9700K CPU @ 3.60GHZ 8 22,040 176,320 Intel
17 RYZEN 5 3600 6-CORE 12 14,364 172,368 AMD
18 CORE I7-5930K CPU @ 3.50GHZ 12 10,523 126,276 Intel
19 CORE I7-7700K CPU @ 4.20GHZ 8 15,705 125,640 Intel
20 CORE I9-9900K CPU @ 3.60GHZ 16 7,846 125,536 Intel
21 CORE I7-5820K CPU @ 3.30GHZ 12 10,160 121,920 Intel
22 CORE I5-9600K CPU @ 3.70GHZ 6 16,829 100,974 Intel
23 CORE I9-8950HK CPU @ 2.90GHZ 12 7,945 95,340 Intel
24 CORE I7-4790K CPU @ 4.00GHZ 8 10,430 83,440 Intel
25 CORE I7-8700 CPU @ 3.20GHZ 12 6,640 79,680 Intel
26 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,956 63,648 Intel
27 CORE I7-6700K CPU @ 4.00GHZ 8 7,671 61,368 Intel
28 CORE I7-3770K CPU @ 3.50GHZ 8 7,632 61,056 Intel
29 APPLE M1 8 7,306 58,448 Apple
30 CORE I5-8350U CPU @ 1.70GHZ 8 6,419 51,352 Intel
31 APPLE M1 PRO 10 4,733 47,330 Apple
32 RYZEN 5 5500U 12 2,314 27,768 AMD
33 CORE I5-10210U CPU @ 1.60GHZ 7 2,365 16,555 Intel
34 XEON CPU E5-1620 V2 @ 3.70GHZ 8 646 5,168 Intel