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