Application of Hierarchical Clustering to Analyze Solvent-Accessible Surface Area Patterns in <i>Amycolatopsis lipases</i>

The wealth of biological databases provides a valuable asset to understand evolution at a molecular level. This research presents the machine learning approach, an unsupervised agglomerative hierarchical clustering analysis of invariant solvent accessible surface areas and conserved structural featu...

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Bibliographic Details
Main Authors: Supajit Sraphet, Bagher Javadi
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Biology
Subjects:
Online Access:https://www.mdpi.com/2079-7737/11/5/652