RESEARCH: INFLUENZA
FOLDING PROJECT #12417 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 proteins being developed as new drugs. This project uses computer simulations to understand how miniproteins bind to a virus protein called hemagglutinin. By studying how changes in the miniprotein affect its binding, researchers hope to design better miniprotein drugs against viruses like influenza.

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 to target specific biological molecules.

Scientific: Pharmaceuticals
Biotechnology / Drug Development

Miniproteins are engineered proteins that are smaller than traditional antibodies but larger than small-molecule drugs. They have potential as therapeutics because they can bind tightly to specific targets in the body, like viruses or disease-causing proteins.


Hemagglutinin

A viral protein that allows influenza A virus to attach to and infect host cells.

Technical: Biotechnology
Virology / Influenza

Hemagglutinin is a key protein on the surface of influenza viruses. It helps the virus bind to sialic acid receptors on human cells, enabling it to enter and infect them. This makes it a prime target for antiviral drugs.


Affinity Maturation

A process of improving the binding affinity of an antibody or protein to its target.

Scientific: Pharmaceuticals
Immunology / Antibody Engineering

Affinity maturation is a technique used to enhance the effectiveness of antibodies. It involves introducing mutations into the antibody gene and selecting for variants that bind more strongly to their intended target.


Molecular Simulation

A computer-based method for simulating the behavior of molecules.

Scientific: Research
Biochemistry / Computational Biology

Molecular simulations use mathematical models to recreate the interactions between atoms and molecules. They are valuable tools for studying protein folding, drug design, and other biological processes.

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
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WU Time
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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 9 7950X 16-CORE 32 40,170 1,285,440 AMD
2 RYZEN 9 9900X 12-CORE 24 49,479 1,187,496 AMD
3 RYZEN 9 7950X3D 16-CORE 32 36,117 1,155,744 AMD
4 RYZEN 9 9950X 16-CORE 32 35,467 1,134,944 AMD
5 APPLE M4 PRO 14 68,153 954,142 Apple
6 12TH GEN CORE I9-12900K 24 38,807 931,368 Intel
7 RYZEN 9 5950X 16-CORE 32 24,562 785,984 AMD
8 CORE I9-14900K 32 23,137 740,384 Intel
9 RYZEN 7 7700X 8-CORE 16 46,008 736,128 AMD
10 RYZEN 7 5700G 16 45,809 732,944 AMD
11 RYZEN 9 7900X 12-CORE 24 29,435 706,440 AMD
12 RYZEN 7 7700 8-CORE 16 43,751 700,016 AMD
13 RYZEN 9 5900X 12-CORE 24 29,038 696,912 AMD
14 RYZEN 7 7800X3D 8-CORE 16 41,773 668,368 AMD
15 XEON W-3245 CPU @ 3.20GHZ 32 20,580 658,560 Intel
16 CORE I9-14900KF 24 23,770 570,480 Intel
17 RYZEN 9 7900 12-CORE 24 23,207 556,968 AMD
18 RYZEN 5 7600X 6-CORE 12 43,698 524,376 AMD
19 RYZEN 7 5800X3D 8-CORE 16 32,265 516,240 AMD
20 12TH GEN CORE I7-12700 20 24,927 498,540 Intel
21 RYZEN 5 7600 6-CORE 12 39,233 470,796 AMD
22 RYZEN 5 7600X3D 6-CORE 12 38,316 459,792 AMD
23 RYZEN 7 3800X 8-CORE 16 28,229 451,664 AMD
24 RYZEN 7 5700X 8-CORE 16 26,925 430,800 AMD
25 CORE I7-7820X CPU @ 3.60GHZ 16 26,814 429,024 Intel
26 RYZEN 7 5800X 8-CORE 16 26,532 424,512 AMD
27 12TH GEN CORE I7-12700K 20 20,011 400,220 Intel
28 CORE I5-14600K 20 19,486 389,720 Intel
29 12TH GEN CORE I7-12700F 20 17,748 354,960 Intel
30 RYZEN 7 5700X3D 8-CORE 16 21,602 345,632 AMD
31 13TH GEN CORE I5-13600K 14 23,993 335,902 Intel
32 RYZEN 9 3900X 12-CORE 24 11,951 286,824 AMD
33 RYZEN 5 5500 12 23,250 279,000 AMD
34 CORE I7-10700K CPU @ 3.80GHZ 16 17,257 276,112 Intel
35 12TH GEN CORE I5-12400 12 22,920 275,040 Intel
36 APPLE M4 10 26,943 269,430 Apple
37 RYZEN 5 5600 6-CORE 12 21,968 263,616 AMD
38 11TH GEN CORE I7-11700K @ 3.60GHZ 16 15,825 253,200 Intel
39 RYZEN 9 3950X 16-CORE 32 7,608 243,456 AMD
40 RYZEN 5 5600X 6-CORE 12 19,865 238,380 AMD
41 RYZEN 7 3700X 8-CORE 16 13,831 221,296 AMD
42 APPLE M2 PRO 10 21,782 217,820 Apple
43 13TH GEN CORE I7-13700 24 8,740 209,760 Intel
44 RYZEN 7 5800H 16 12,864 205,824 AMD
45 CORE I7-8700K CPU @ 3.70GHZ 12 17,022 204,264 Intel
46 RYZEN 5 3600 6-CORE 12 16,515 198,180 AMD
47 CORE I5-8600K CPU @ 3.60GHZ 6 32,363 194,178 Intel
48 APPLE M3 8 23,407 187,256 Apple
49 CORE I7-6900K CPU @ 3.20GHZ 16 11,666 186,656 Intel
50 XEON CPU E5-2680 V2 @ 2.80GHZ 40 4,663 186,520 Intel
51 CORE I7-9700 CPU @ 3.00GHZ 8 22,387 179,096 Intel
52 CORE I5-10600KF CPU @ 4.10GHZ 12 12,718 152,616 Intel
53 CORE I9-8950HK CPU @ 2.90GHZ 12 12,490 149,880 Intel
54 RYZEN 7 2700X EIGHT-CORE 16 8,756 140,096 AMD
55 CORE I7-7700K CPU @ 4.20GHZ 8 17,329 138,632 Intel
56 APPLE M2 8 17,218 137,744 Apple
57 CORE I7-5820K CPU @ 3.30GHZ 12 10,984 131,808 Intel
58 CORE I7-5930K CPU @ 3.50GHZ 12 10,633 127,596 Intel
59 CORE I5-9400F CPU @ 2.90GHZ 6 20,072 120,432 Intel
60 CORE I7-8850H CPU @ 2.60GHZ 12 9,713 116,556 Intel
61 CORE I7-8700 CPU @ 3.20GHZ 12 9,633 115,596 Intel
62 11TH GEN CORE I7-11800H @ 2.30GHZ 16 6,576 105,216 Intel
63 CORE I7-4930K CPU @ 3.40GHZ 12 8,502 102,024 Intel
64 CORE I7-8705G CPU @ 3.10GHZ 8 12,497 99,976 Intel
65 CORE I7-10700T CPU @ 2.00GHZ 16 6,184 98,944 Intel
66 XEON CPU E3-1270 V5 @ 3.60GHZ 8 12,232 97,856 Intel
67 XEON GOLD 6128 CPU @ 3.40GHZ 12 7,950 95,400 Intel
68 CORE I5-5675R CPU @ 3.10GHZ 4 21,135 84,540 Intel
69 11TH GEN CORE I7-1185G7 @ 3.00GHZ 8 9,907 79,256 Intel
70 CORE I7-6700K CPU @ 4.00GHZ 8 9,901 79,208 Intel
71 12TH GEN CORE I7-12700H 20 3,916 78,320 Intel
72 CORE I5-6500 CPU @ 3.20GHZ 4 19,058 76,232 Intel
73 CORE I7-4770HQ CPU @ 2.20GHZ 8 9,416 75,328 Intel
74 CORE I7-4790K CPU @ 4.00GHZ 8 9,356 74,848 Intel
75 CORE I5-4690 CPU @ 3.50GHZ 4 18,299 73,196 Intel
76 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 8,945 71,560 Intel
77 CORE I5-7400 CPU @ 3.00GHZ 4 16,830 67,320 Intel
78 CORE I5-7500 CPU @ 3.40GHZ 4 16,772 67,088 Intel
79 RYZEN 5 3400G 8 8,253 66,024 AMD
80 CORE I5-4590 CPU @ 3.30GHZ 4 15,285 61,140 Intel
81 CORE I5-9300H CPU @ 2.40GHZ 8 7,321 58,568 Intel
82 CORE I7-3770 CPU @ 3.40GHZ 8 7,096 56,768 Intel
83 CORE I7-3770K CPU @ 3.50GHZ 8 7,072 56,576 Intel
84 APPLE M1 8 7,041 56,328 Apple
85 CORE I7-7700HQ CPU @ 2.80GHZ 8 6,943 55,544 Intel
86 CORE I5-4590S CPU @ 3.00GHZ 4 13,482 53,928 Intel
87 CORE I7-4770S CPU @ 3.10GHZ 8 6,427 51,416 Intel
88 RYZEN 5 2400G 8 6,351 50,808 AMD
89 CORE I5-4670 CPU @ 3.40GHZ 4 12,434 49,736 Intel
90 CORE I5-3470S CPU @ 2.90GHZ 4 12,225 48,900 Intel
91 11TH GEN CORE I5-1145G7 @ 2.60GHZ 8 5,765 46,120 Intel
92 CORE I7-2600 CPU @ 3.40GHZ 8 5,533 44,264 Intel
93 RYZEN 5 PRO 2400GE W/ 8 5,499 43,992 AMD
94 CORE I5-6500T CPU @ 2.50GHZ 4 10,928 43,712 Intel
95 CORE I5-4570S CPU @ 2.90GHZ 4 10,901 43,604 Intel
96 RYZEN 7 4800U 16 2,570 41,120 AMD
97 CORE I5-3570K CPU @ 3.40GHZ 4 9,849 39,396 Intel
98 CORE I7-8665U CPU @ 1.90GHZ 8 4,719 37,752 Intel
99 12TH GEN CORE I5-12600K 16 2,238 35,808 Intel
100 RYZEN 5 5500U 12 2,676 32,112 AMD
101 CORE I7-7600U CPU @ 2.80GHZ 4 7,072 28,288 Intel
102 CORE I5-5200U CPU @ 2.20GHZ 4 5,602 22,408 Intel
103 CORE I7-4770K CPU @ 3.50GHZ 8 2,350 18,800 Intel
104 CORE I5-3210M CPU @ 2.50GHZ 4 4,025 16,100 Intel
105 CORE I3-6006U CPU @ 2.00GHZ 4 2,944 11,776 Intel
106 CORE I7-4500U CPU @ 1.80GHZ 4 2,932 11,728 Intel
107 XEON CPU E5-2697 V2 @ 2.70GHZ 24 450 10,800 Intel
108 CORE I7 CPU 975 @ 3.33GHZ 8 1,160 9,280 Intel
109 CORE I3-2310M CPU @ 2.10GHZ 4 2,203 8,812 Intel
110 CORE I5-4570 CPU @ 3.20GHZ 4 1,103 4,412 Intel
111 CORE I3-10100F CPU @ 3.60GHZ 8 Intel
112 APPLE M1 PRO 10 Apple
113 APPLE M2 MAX 12 Apple