Application of Hierarchical Clustering to Analyze Solvent-Accessible Surface Area Patterns in Amycolatopsis lipases

• Main Authors: Supajit Sraphet, Bagher Javadi
• Other Authors: Suan Sunandha Rajabhat University
• Format: Article
• Published: 2022
• Subjects: Agricultural and Biological Sciences; Biochemistry, Genetics and Molecular Biology; Immunology and Microbiology
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/72993
• Institution: Mahidol University

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 agglom-erative hierarchical clustering analysis of invariant solvent accessible surface areas and conserved structural feat...