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Updated: Nov 19, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Insights into protease sequence similarities by comparing substrate sequences and phylogenetic dynamics.

Enfeng Qi1,2, Can Fu2, Ying Zhai1

  • 1School of Mathematics and Statistics, Guangxi Normal University, Guilin 541000, China.

Mathematical Biosciences and Engineering : MBE
|February 2, 2021
PubMed
Summary

A new method analyzes protease similarities using substrate sequence data, revealing evolutionary relationships and potential drug targets. This approach clusters proteases effectively, regardless of their origin or catalytic type.

Keywords:
KEGGMEROPShomologyphylogenetic treeprotease phylogenysubstrate sequences

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Enzymology

Background:

  • Proteases are crucial enzymes with diverse functions.
  • Understanding protease relationships is key for drug development.
  • Existing methods for comparing proteases have limitations.

Purpose of the Study:

  • To develop a novel method for comparing protease sequence similarities.
  • To construct a protease specificity tree without homology assumptions.
  • To reveal evolutionary and functional relationships among proteases.

Main Methods:

  • Utilizing substrate sequences from the MEROPS database for 68 proteases.
  • Defining a rank vector based on amino acid frequencies at substrate sites.
  • Constructing a phylogenetic tree to visualize protease clustering.

Main Results:

  • The method successfully clustered proteases from different evolutionary origins and catalytic types.
  • Homologous proteases were grouped in small branches, indicating genetic relationships.
  • Clustered proteases showed potential functional similarities within biological pathways (KEGG).

Conclusions:

  • The novel method provides new insights into protease similarities.
  • The findings may guide the design of targeted protease inhibitor drugs.
  • This approach offers a valuable tool for protease research and drug discovery.