Microbial genome scanning for antibacterial peptides using advanced bioinformatics

Technology
In development
University

A cutting-edge approach to identify novel antibacterial peptides from microbial genomes using high-throughput sequencing and bioinformatics. This technology aims to discover unique natural compounds with potential applications in healthcare and industry.

Overview

This innovative solution leverages advanced bioinformatics and high-throughput sequencing to uncover novel antibacterial peptides from microbial genomes. By focusing on distinct natural compounds outside traditional categories, this approach seeks to discover unique bioactive substances with significant applications in healthcare and industrial sectors. The technology uses the company's proprietary bacterial strains to identify potential new natural products with distinct modes of action.

Technical specifications

Key features:

  • Utilizes high-throughput sequencing and comparative genomics for extensive microbial genome analysis
  • Employs genomic engineering and metabolomics to identify unique natural product actives
  • Integrates metagenomic and bioinformatic analyses to pinpoint ideal natural products
  • In silico validation through structural modeling, molecular docking, and dynamic simulations against pathogenic targets
  • Tools like antiSMASH and BAGEL used for predicting secondary metabolite and bacteriocin BGCs
Technology readiness level

This technology is currently at TRL 4, having been validated in a lab environment. The research team is equipped to conduct further experimental work for genomic data analysis and functional annotation, paving the way for future development and potential commercialization.


About Universidade Federal de Minas Gerais

UFMG is a comprehensive public research university in Belo Horizonte, Brazil, known for interdisciplinary research and talent development. Industry engagement is anchored by the Belo Horizonte Technology Park (BH-TEC), co-located with the main campus for company co-location and joint R&D. Integration with the Hospital das Clínicas, managed by the federal Ebserh network, enables clinical research and large-scale validation. Research is backed by competitive funding from Brazilian federal and state agencies, including CNPq, CAPES, FINEP, and FAPEMIG. CTIT, the university’s technology transfer office, manages IP and partnerships, while the Inova incubator accelerates spinouts.

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