RESEARCH: INFLUENZA
FOLDING PROJECT #12418 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 14,092
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are small proteins designed to fight diseases like the flu. Researchers are using computer simulations to understand how these miniproteins work and how to make them even better at binding to viruses.

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.

Scientific: Pharmaceutical
Biotechnology / Drug Design

Miniproteins are a class of engineered proteins smaller than traditional antibodies, designed to target specific molecules in the body. They have potential as new drugs for treating various diseases.


Hemagglutinin

A viral protein that allows influenza to bind to and infect cells.

Scientific: Biomedical Research
Virology / Influenza

Hemagglutinin is a protein found on the surface of influenza viruses. It helps the virus attach to and enter human cells, allowing it to spread infection. Researchers study hemagglutinin to develop new antiviral drugs and vaccines.


Affinity Maturation

Process of improving the binding strength of antibodies.

Scientific: Biotechnology
Immunology / Antibody Engineering

Affinity maturation is a technique used to enhance the ability of antibodies to bind to their target molecules. This process involves making specific changes to the antibody's structure, increasing its affinity and effectiveness.


Molecular Simulation

Computer-based modeling of molecular interactions.

Scientific: Pharmaceutical Research
Biochemistry / Computational Biology

Molecular simulation uses computer programs to mimic the behavior of molecules and their interactions. This technique helps researchers understand complex biological processes at a detailed atomic level.


Expanded Ensemble Simulation

Simulation technique used to study complex systems.

Scientific: Biotechnology
Biophysics / Computational Modeling

Expanded ensemble simulation is a powerful computational method that allows researchers to explore a wider range of possible states and configurations for a system. This is particularly useful for studying complex biological processes with many interacting components.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:41
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:41
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN THREADRIPPER 7980X 64-CORES 64 20,063 1,284,032 AMD
2 RYZEN 9 9950X 16-CORE 32 29,565 946,080 AMD
3 APPLE M4 PRO 14 67,520 945,280 Apple
4 RYZEN 9 9900X 12-CORE 24 38,696 928,704 AMD
5 12TH GEN CORE I9-12900K 24 38,357 920,568 Intel
6 RYZEN 9 7950X 16-CORE 32 25,513 816,416 AMD
7 RYZEN 7 9800X3D 8-CORE 16 47,952 767,232 AMD
8 RYZEN 7 7700X 8-CORE 16 44,990 719,840 AMD
9 RYZEN 9 5900X 12-CORE 24 29,949 718,776 AMD
10 CORE I9-14900K 32 22,135 708,320 Intel
11 RYZEN 7 5700G 16 42,186 674,976 AMD
12 RYZEN 9 7900X 12-CORE 24 25,548 613,152 AMD
13 RYZEN 7 7800X3D 8-CORE 16 37,918 606,688 AMD
14 XEON W-3245 CPU @ 3.20GHZ 32 18,529 592,928 Intel
15 RYZEN 9 5950X 16-CORE 32 17,051 545,632 AMD
16 RYZEN 9 7900 12-CORE 24 21,629 519,096 AMD
17 12TH GEN CORE I5-12400F 12 43,200 518,400 Intel
18 12TH GEN CORE I7-12700 20 25,640 512,800 Intel
19 RYZEN 7 5800X3D 8-CORE 16 31,414 502,624 AMD
20 APPLE M2 ULTRA 24 20,861 500,664 Apple
21 RYZEN 5 7600 6-CORE 12 37,364 448,368 AMD
22 RYZEN 7 5800X 8-CORE 16 27,541 440,656 AMD
23 RYZEN 7 3800X 8-CORE 16 26,863 429,808 AMD
24 12TH GEN CORE I7-12700K 20 20,848 416,960 Intel
25 CORE I7-7820X CPU @ 3.60GHZ 16 26,044 416,704 Intel
26 13TH GEN CORE I9-13900KF 32 12,922 413,504 Intel
27 XEON CPU E5-2696 V4 @ 2.20GHZ 44 8,985 395,340 Intel
28 RYZEN 7 5700X 8-CORE 16 24,505 392,080 AMD
29 CORE I9-10885H CPU @ 2.40GHZ 16 23,761 380,176 Intel
30 RYZEN 9 3950X 16-CORE 32 10,418 333,376 AMD
31 13TH GEN CORE I5-13600K 14 22,271 311,794 Intel
32 12TH GEN CORE I7-12700F 20 14,815 296,300 Intel
33 RYZEN 9 5900 12-CORE 24 12,334 296,016 AMD
34 CORE I7-10700K CPU @ 3.80GHZ 16 17,260 276,160 Intel
35 RYZEN 5 5600X 6-CORE 12 22,973 275,676 AMD
36 RYZEN THREADRIPPER 3960X 24-CORE 48 5,552 266,496 AMD
37 RYZEN 5 5600 6-CORE 12 21,955 263,460 AMD
38 RYZEN 9 3900X 12-CORE 24 10,884 261,216 AMD
39 RYZEN 7 5700X3D 8-CORE 16 15,917 254,672 AMD
40 APPLE M1 MAX 10 24,864 248,640 Apple
41 RYZEN 7 3700X 8-CORE 16 13,686 218,976 AMD
42 APPLE M2 PRO 10 20,938 209,380 Apple
43 CORE I7-6950X CPU @ 3.00GHZ 20 10,228 204,560 Intel
44 APPLE M2 8 25,107 200,856 Apple
45 13TH GEN CORE I7-13700 24 8,315 199,560 Intel
46 CORE I5-10600KF CPU @ 4.10GHZ 12 15,784 189,408 Intel
47 CORE I7-9700 CPU @ 3.00GHZ 8 23,529 188,232 Intel
48 RYZEN 5 3500 6-CORE 6 31,286 187,716 AMD
49 RYZEN 5 3600 6-CORE 12 15,050 180,600 AMD
50 CORE I7-7700K CPU @ 4.20GHZ 8 18,446 147,568 Intel
51 RYZEN 7 5800H 16 9,047 144,752 AMD
52 CORE I5-9400F CPU @ 2.90GHZ 6 23,977 143,862 Intel
53 CORE I7-5930K CPU @ 3.50GHZ 12 11,950 143,400 Intel
54 11TH GEN CORE I7-11700F @ 2.50GHZ 16 8,867 141,872 Intel
55 CORE I9-8950HK CPU @ 2.90GHZ 12 10,953 131,436 Intel
56 11TH GEN CORE I7-11800H @ 2.30GHZ 16 7,903 126,448 Intel
57 CORE I7-5820K CPU @ 3.30GHZ 12 10,521 126,252 Intel
58 CORE I7-7700 CPU @ 3.60GHZ 8 13,539 108,312 Intel
59 CORE I7-8700K CPU @ 3.70GHZ 12 8,764 105,168 Intel
60 CORE I7-10700T CPU @ 2.00GHZ 16 6,483 103,728 Intel
61 11TH GEN CORE I9-11900F @ 2.50GHZ 16 6,337 101,392 Intel
62 CORE I7-4930K CPU @ 3.40GHZ 12 8,406 100,872 Intel
63 XEON CPU E3-1270 V5 @ 3.60GHZ 8 12,386 99,088 Intel
64 EPYC 7543P 32-CORE 8 11,160 89,280 AMD
65 CORE I7-8705G CPU @ 3.10GHZ 8 11,042 88,336 Intel
66 RYZEN THREADRIPPER 2990WX 32-CORE 64 1,339 85,696 AMD
67 CORE I7-4770HQ CPU @ 2.20GHZ 8 10,567 84,536 Intel
68 XEON CPU E3-1231 V3 @ 3.40GHZ 8 9,934 79,472 Intel
69 CORE I7-3720QM CPU @ 2.60GHZ 8 9,846 78,768 Intel
70 CORE I7-4790K CPU @ 4.00GHZ 8 9,570 76,560 Intel
71 CORE I5-6500 CPU @ 3.20GHZ 4 19,103 76,412 Intel
72 CORE I7-6700K CPU @ 4.00GHZ 8 9,191 73,528 Intel
73 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,559 72,944 Intel
74 CORE I5-4690 CPU @ 3.50GHZ 4 17,559 70,236 Intel
75 APPLE M1 8 8,314 66,512 Apple
76 CORE I7-4770 CPU @ 3.40GHZ 8 8,283 66,264 Intel
77 CORE I7-9750H CPU @ 2.60GHZ 12 5,470 65,640 Intel
78 CORE I5-9300H CPU @ 2.40GHZ 8 7,925 63,400 Intel
79 RYZEN 5 3400G 8 7,903 63,224 AMD
80 RYZEN 5 2400G 8 7,622 60,976 AMD
81 CORE I5-4590S CPU @ 3.00GHZ 4 15,160 60,640 Intel
82 CORE I7-3770 CPU @ 3.40GHZ 8 7,469 59,752 Intel
83 CORE I5-4590 CPU @ 3.30GHZ 4 14,841 59,364 Intel
84 CORE I7-7700HQ CPU @ 2.80GHZ 8 7,109 56,872 Intel
85 CORE I5-4670 CPU @ 3.40GHZ 4 13,382 53,528 Intel
86 CORE I5-3470S CPU @ 2.90GHZ 4 12,248 48,992 Intel
87 XEON CPU E5-1630 V3 @ 3.70GHZ 8 6,058 48,464 Intel
88 CORE I7-2600 CPU @ 3.40GHZ 8 5,862 46,896 Intel
89 CORE I7-4770K CPU @ 3.50GHZ 8 5,722 45,776 Intel
90 RYZEN 5 PRO 2400GE W/ 8 5,594 44,752 AMD
91 XEON CPU E5-1620 V2 @ 3.70GHZ 8 4,839 38,712 Intel
92 CORE I5-3570K CPU @ 3.40GHZ 4 9,373 37,492 Intel
93 12TH GEN CORE I5-12600K 16 2,174 34,784 Intel
94 CORE I5-6600 CPU @ 3.30GHZ 4 8,333 33,332 Intel
95 RYZEN 5 5500U 12 2,620 31,440 AMD
96 CORE I7-7600U CPU @ 2.80GHZ 4 7,165 28,660 Intel
97 12TH GEN CORE I5-12600KF 16 1,432 22,912 Intel
98 CORE I5-4200M CPU @ 2.50GHZ 4 5,404 21,616 Intel
99 XEON CPU E5450 @ 3.00GHZ 8 2,660 21,280 Intel
100 XEON CPU E5-2697 V2 @ 2.70GHZ 24 883 21,192 Intel
101 APPLE M3 8 2,644 21,152 Apple
102 XEON CPU E5-2609 0 @ 2.40GHZ 4 4,834 19,336 Intel
103 XEON CPU W3565 @ 3.20GHZ 4 4,263 17,052 Intel
104 CORE I5-3210M CPU @ 2.50GHZ 4 3,950 15,800 Intel
105 CORE I7 CPU 975 @ 3.33GHZ 8 1,883 15,064 Intel
106 CORE I3-6006U CPU @ 2.00GHZ 4 3,279 13,116 Intel
107 CORE I7-6500U CPU @ 2.50GHZ 4 1,019 4,076 Intel