Systematic analysis of metallo-β-lactamases using an automated database

Area of Science:

• Biochemistry and Molecular Biology
• Microbiology
• Bioinformatics

Background:

• Metallo-β-lactamases (MBLs) confer bacterial resistance to β-lactam antibiotics.
• Their rapid spread, broad activity, and lack of inhibitors are significant clinical concerns.
• Standardized classification and analysis are needed to track MBL evolution.

Purpose of the Study:

• To develop an automated database system, the Metallo-β-Lactamase Engineering Database (MBLED).
• To facilitate the classification, nomenclature, and systematic analysis of MBL protein sequences.
• To support research into MBL-mediated antibiotic resistance.

Main Methods:

• Developed the Metallo-β-Lactamase Engineering Database (MBLED) using NCBI peptide data.
• Integrated established nomenclature (Jacoby and Bush) and numbering schemes for MBLs.
• Performed systematic sequence analyses using the MBLED.

Main Results:

• The MBLED contains 597 MBL sequences, enabling systematic analysis.
• Identified mutation profiles for IMP- and VIM-type MBLs.
• Discovered 15 new IMP and 9 new VIM candidates, and flagged 5 misclassified entries.
• Located mutation 'hot spots' distant from the active site (e.g., IMP positions 208, 266; VIM positions 215, 258).

Conclusions:

• The MBLED is a valuable resource for cataloguing and analyzing MBLs.
• The database facilitates the identification of novel MBL variants and resistance mechanisms.
• Understanding mutation patterns can guide future inhibitor development and antibiotic strategies.