RESEARCH: INFLUENZA
FOLDING PROJECT #18472 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 drugs being designed to fight infections. Scientists are using computer simulations to understand how miniproteins bind to viruses and improve their effectiveness. This research 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 proteins designed for therapeutic use.

Technical: Pharmaceuticals
Biotechnology / Drug Discovery

Miniproteins are engineered proteins smaller than antibodies but larger than small molecules. They have potential as therapeutics because they can be designed to bind specific targets in the body.


Monoclonal Antibodies

Laboratory-produced antibodies that target a specific antigen.

Scientific: Pharmaceuticals
Biotechnology / Immunology

Monoclonal antibodies are a type of protein produced in labs to recognize and bind to specific molecules (antigens). They are used in treatments for various diseases like cancer and autoimmune disorders.


Hemagglutinin

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

Scientific: Biotechnology
Virology / Infectious Diseases

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


Affinity Maturation

A process of improving the binding affinity of a protein.

Technical: Pharmaceuticals
Biotechnology / Protein Engineering

Affinity maturation is a technique used to enhance the ability of proteins, particularly antibodies or miniproteins, to bind their target molecules. This involves introducing mutations and selecting for variants with stronger binding.


Molecular Simulation

A computer-based method for modeling molecular interactions.

Scientific: Research
Biochemistry / Computational Biology

Molecular simulation uses computer programs to mimic the movement and behavior of atoms and molecules. This allows researchers to study how biological systems work at a detailed level.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:31
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:31
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 7 7700X 8-CORE 16 43,802 700,832 AMD
2 RYZEN 9 7900 12-CORE 24 26,074 625,776 AMD
3 RYZEN 7 5700G 16 37,560 600,960 AMD
4 RYZEN 7 5700X 8-CORE 16 27,677 442,832 AMD
5 RYZEN 7 5800X 8-CORE 16 26,290 420,640 AMD
6 RYZEN 7 5800X3D 8-CORE 16 22,941 367,056 AMD
7 RYZEN 9 5950X 16-CORE 32 9,424 301,568 AMD
8 RYZEN 9 3900X 12-CORE 24 11,856 284,544 AMD
9 RYZEN 5 5600 6-CORE 12 21,690 260,280 AMD
10 CORE I9-7940X CPU @ 3.10GHZ 28 8,207 229,796 Intel
11 RYZEN 5 5600X 6-CORE 12 17,218 206,616 AMD
12 RYZEN 5 3500 6-CORE 6 33,868 203,208 AMD
13 RYZEN 5 3600 6-CORE 12 14,182 170,184 AMD
14 CORE I7-7700K CPU @ 4.20GHZ 8 16,466 131,728 Intel
15 CORE I7-5930K CPU @ 3.50GHZ 12 10,822 129,864 Intel
16 RYZEN 7 3700X 8-CORE 16 7,413 118,608 AMD
17 12TH GEN CORE I7-12700H 20 5,142 102,840 Intel
18 XEON CPU E3-1270 V5 @ 3.60GHZ 8 12,190 97,520 Intel
19 EPYC 7262 8-CORE 16 5,930 94,880 AMD
20 CORE I9-8950HK CPU @ 2.90GHZ 12 7,872 94,464 Intel
21 CORE I7-4790K CPU @ 4.00GHZ 8 11,441 91,528 Intel
22 CORE I7-8705G CPU @ 3.10GHZ 8 11,339 90,712 Intel
23 CORE I7-8700 CPU @ 3.20GHZ 12 6,218 74,616 Intel
24 CORE I7-5820K CPU @ 3.30GHZ 12 6,068 72,816 Intel
25 CORE I7-6700K CPU @ 4.00GHZ 8 8,541 68,328 Intel
26 XEON CPU X5680 @ 3.33GHZ 12 5,601 67,212 Intel
27 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,857 62,856 Intel
28 CORE I7-3770K CPU @ 3.50GHZ 8 7,670 61,360 Intel
29 CORE I7-3770 CPU @ 3.40GHZ 8 7,223 57,784 Intel
30 APPLE M1 8 7,142 57,136 Apple
31 APPLE M1 PRO 10 4,334 43,340 Apple
32 XEON CPU E5-1630 V3 @ 3.70GHZ 8 5,326 42,608 Intel
33 RYZEN 5 5500U 12 2,407 28,884 AMD
34 XEON CPU E5-1620 V2 @ 3.70GHZ 8 1,953 15,624 Intel
35 CORE I7-7700HQ CPU @ 2.80GHZ 8 1,001 8,008 Intel