RESEARCH: INFLUENZA
FOLDING PROJECT #18482 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 14,088
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are small, designed proteins that could be used as new medicines. Scientists want to understand how miniproteins bind to viruses like the flu using computer simulations. They'll use these simulations to see how tiny changes in a miniprotein's design affect its ability to stick to the virus and block infection.

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 purposes.

Scientific: Pharmaceuticals
Biotechnology / Drug Development

Miniproteins are engineered proteins that are smaller than traditional antibodies but larger than small molecules. They are being explored as potential treatments for various diseases because they can bind to specific targets in the body.


Hemagglutinin

A viral protein that allows influenza A to attach to cell surfaces.

Scientific: Biotechnology
Medicine / Virology

Hemagglutinin is a surface protein found on influenza A viruses. It plays a crucial role in the virus's ability to infect cells by binding to sialic acid receptors on the host cell surface.


Affinity Maturation

Process of improving the binding affinity of a molecule to its target.

Scientific: Pharmaceuticals
Biotechnology / Immunology

Affinity maturation is a technique used to enhance the binding strength of antibodies or other molecules to their desired targets. It involves introducing mutations and selecting for variants with improved binding affinity.


Molecular Simulation

Computer-based modeling of molecular behavior.

Scientific: Pharmaceuticals
Biotechnology / Computational Biology

Molecular simulations are computer programs that mimic the movements and interactions of atoms and molecules. They are used to study the structure, dynamics, and properties of biological systems.


Expanded Ensemble Simulations

A type of molecular simulation that uses multiple independent simulations with different starting conditions.

Scientific: Pharmaceuticals
Biotechnology / Computational Biology

Expanded ensemble simulations are a powerful computational technique used to study complex systems. They involve running many simulations with slightly different initial conditions, which allows for a more comprehensive exploration of the system's energy landscape.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:16
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:16
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 57,606 1,382,544 Intel
2 RYZEN 9 5950X 16-CORE 32 32,291 1,033,312 AMD
3 EPYC 7B12 64-CORE 64 14,295 914,880 AMD
4 RYZEN 7 5700G 16 50,819 813,104 AMD
5 RYZEN 7 7700X 8-CORE 16 44,277 708,432 AMD
6 RYZEN 7 5800X 8-CORE 16 24,501 392,016 AMD
7 RYZEN 7 5700X 8-CORE 16 23,957 383,312 AMD
8 11TH GEN CORE I7-11700K @ 3.60GHZ 16 23,665 378,640 Intel
9 RYZEN 7 5800X3D 8-CORE 16 22,607 361,712 AMD
10 RYZEN 5 5600 6-CORE 12 27,246 326,952 AMD
11 12TH GEN CORE I5-12600K 16 17,593 281,488 Intel
12 CORE I7-10700K CPU @ 3.80GHZ 16 16,714 267,424 Intel
13 RYZEN 9 3900X 12-CORE 24 10,552 253,248 AMD
14 RYZEN 5 5600X 6-CORE 12 18,655 223,860 AMD
15 RYZEN 5 3500 6-CORE 6 35,573 213,438 AMD
16 RYZEN 7 3700X 8-CORE 16 10,149 162,384 AMD
17 RYZEN 5 3600 6-CORE 12 13,458 161,496 AMD
18 11TH GEN CORE I9-11900K @ 3.50GHZ 16 8,961 143,376 Intel
19 CORE I7-5930K CPU @ 3.50GHZ 12 10,791 129,492 Intel
20 CORE I7-9750H CPU @ 2.60GHZ 12 10,629 127,548 Intel
21 CORE I7-7700K CPU @ 4.20GHZ 8 15,088 120,704 Intel
22 CORE I7-5820K CPU @ 3.30GHZ 12 9,480 113,760 Intel
23 12TH GEN CORE I7-12700H 20 4,925 98,500 Intel
24 CORE I9-8950HK CPU @ 2.90GHZ 12 7,933 95,196 Intel
25 XEON CPU E3-1270 V5 @ 3.60GHZ 8 11,551 92,408 Intel
26 CORE I7-8705G CPU @ 3.10GHZ 8 11,458 91,664 Intel
27 CORE I7-10700T CPU @ 2.00GHZ 16 5,719 91,504 Intel
28 CORE I7-4790K CPU @ 4.00GHZ 8 10,774 86,192 Intel
29 CORE I7-6700K CPU @ 4.00GHZ 8 10,525 84,200 Intel
30 CORE I7-3770K CPU @ 3.50GHZ 8 7,544 60,352 Intel
31 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,312 58,496 Intel
32 CORE I5-9300HF CPU @ 2.40GHZ 8 7,220 57,760 Intel
33 XEON CPU E3-1245 V3 @ 3.40GHZ 8 7,217 57,736 Intel
34 APPLE M1 8 7,192 57,536 Apple
35 XEON CPU E5-1620 V2 @ 3.70GHZ 8 6,836 54,688 Intel
36 APPLE M1 PRO 10 3,461 34,610 Apple
37 RYZEN 5 5500U 12 2,803 33,636 AMD