AlphaFold2 protein structure prediction based on computer vision

Zihan Chen

doi:10.1117/12.2669377

24 March 2023 AlphaFold2 protein structure prediction based on computer vision

Zihan Chen

Proceedings Volume 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022); 126110O (2023) https://doi.org/10.1117/12.2669377
Event: International Conference on Biological Engineering and Medical Science (ICBioMed2022), 2022, Oxford, United Kingdom

Abstract

Studying protein structure is helpful to understand the role of proteins and how proteins perform their biological functions. Therefore, exploring the structure of proteins is of great significance for biology and pharmacology. Among a number of experimental and computational tools, AlphaFold2 has made outstanding achievements in the field of protein structure prediction and is widely used. This paper studied the particular work of AlphaFold2 and applied it to predict the human epidermal growth factor receptor 2 (HER2), an important target of breast cancer which is a key disease endangering women's health. We hope to explore the effect of AlphaFold2 in practical application through case study on HER2. We explored the specific work of ResNet, a classic model in the field of computer vision, and Raptor-X, which exploited such techniques in the protein field for the first time. Finally, we applied the method of computer vision to the field of protein prediction as well as protein structure visualization. More specifically, we evaluated the prediction accuracy of AlphaFold2 by aligning the structure of protein and located some key binding residues in HER2 to help analysis and further exploration. In conclusion, we give the specific results and discuss the performance of AlphaFold2, and also find that computer vision plays an important role in the field of protein prediction.

Citation Download Citation

Zihan Chen "AlphaFold2 protein structure prediction based on computer vision", Proc. SPIE 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022), 126110O (24 March 2023); https://doi.org/10.1117/12.2669377

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Proteins

Computer vision technology

Neural networks

Hydrogen

Visualization

Deep learning

Image processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years