Application of hierarchical clustering to analyzesolvent-accessible surface area patterns inamycolatopsis lipases

HIGHLIGHTS

• who: Supajit Sraphet and Bagher Javadi from the Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand have published the research: Application of Hierarchical Clustering to AnalyzeSolvent-Accessible Surface Area Patterns inAmycolatopsis lipases, in the Journal: Biology 2022, 11, x. of 20/03/2022
• what: The aim of this research paper is to provide insight and clear information on different Amycolatopsis eburnea lipases based on the SASA.
• how: This research presents the machine learning approach an unsupervised agglomerative hierarchical clustering analysis of invariant areas and conserved structural features of eburnea to exploit the . . .
  

   

  

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