Mabellini

Mabellini provides three-dimensional structural models and annotations of the Mycobacterium abscessus proteome to support structural analysis and antimicrobial target identification.


Key Features:

  • Extensive Structural Models: Contains over 13,000 three-dimensional models covering 3,394 Mycobacterium abscessus proteins.
  • Domain-based Modelling Methodology: Generates models using a domain-based methodology that leverages up-to-date computational tools.
  • Thorough Annotation: Each model is annotated with data sourced from UniProt, CATH, and SCOP, among others.
  • Models for Proteins Lacking Experimental Structures: Provides structural models specifically for proteins where experimental structures are unavailable.

Scientific Applications:

  • Antimicrobial Target Evaluation: Supports evaluation of prospective antimicrobial targets in Mycobacterium abscessus for drug discovery efforts.
  • Structure-Guided Drug Design: Enables structure-based design and assessment of new molecules targeting M. abscessus proteins.
  • Structural Biology and Comparative Analysis: Facilitates structural analysis and comparisons across the M. abscessus proteome, including studies relevant to multidrug resistance and infections in immunocompromised individuals such as people with cystic fibrosis.

Methodology:

Three-dimensional models were generated using a domain-based modelling methodology with up-to-date computational tools and annotated using UniProt, CATH, and SCOP.

Topics

Details

Tool Type:
web application
Added:
1/14/2020
Last Updated:
12/22/2020

Operations

Publications

Skwark MJ, Torres PHM, Copoiu L, Bannerman B, Floto RA, Blundell TL. Mabellini: a genome-wide database for understanding the structural proteome and evaluating prospective antimicrobial targets of the emerging pathogen Mycobacterium abscessus. Database. 2019;2019. doi:10.1093/database/baz113. PMID:31681953. PMCID:PMC6853642.

PMID: 31681953
PMCID: PMC6853642
Funding: - Ipsen: 08032016 - Cystic Fibrosis Trust: SRC 010 - RG92232 - Botnar Foundation: RG91317