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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

7. Protein Structure Prediction

verfasst von : Qingfeng Chen

Erschienen in: Association Analysis Techniques and Applications in Bioinformatics

Verlag: Springer Nature Singapore

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Abstract

Proteins are essential components of living organisms. They are composed of a linear sequence of amino acids. However, proteins only exhibit activity and perform their specific biological functions when they fold into a particular spatial structure. Correlation analysis techniques can be used to study the interactions between proteins. However, in order to truly understand the function of a protein, it is necessary to have a clear understanding of its accurate spatial structure. The spatial structure of a protein allows us to comprehend how it carries out its corresponding function, which is crucial in the fields of medicine, pharmacology, and biology. Additionally, understanding the structures of known proteins can provide a reliable theoretical basis for designing new proteins. Therefore, this chapter primarily focuses on research related to protein structure prediction and introduces the topic of protein hotspot prediction.

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Vorheriges Kapitel The Associations Between Non-coding RNA and Disease
Nächstes Kapitel Gene Sequence Assembly and Application
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Metadaten
Titel
Protein Structure Prediction
verfasst von
Qingfeng Chen
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
Association Analysis Techniques and Applications in Bioinformatics

Print ISBN: 978-981-9982-50-9

Electronic ISBN: 978-981-9982-51-6

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-99-8251-6_7

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