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Yeda R&D Co. Ltd
Abstract ID: 1590
The market size for antimicrobial agents represents 5% of the global pharmaceutical market. However, the global emergence of resistance to antimicrobial agents is increasingly limiting the effectiveness of...
The market size for antimicrobial agents represents 5% of the global pharmaceutical market. However, the global emergence of resistance to antimicrobial agents is increasingly limiting the effectiveness of current drugs.
Novel, efficient and non-resistance-inducing antimicrobial/antibacterial agents are therefore in urgent need.
Bacteria often generate genome-encoded anti-microbial peptides as a part of an arms race with competing bacteria. However, detection of such peptides is a challenging task as they evolve very fast and cannot be recognized using standard homology-based algorithms. The present invention describes a novel algorithm that scans a microbial genome and detects specific genes that kill E. coli if cloned into it. The algorithm identify genes and intergenic regions that fail to propagate in E. coli in the process of whole genome shotgun sequencing, thus creating sequencing gaps. These gaps, once considered a technical obstacle, actually contain extensive information on thousands of genes toxic to bacteria.
The present technology introduces a novel algorithm to sift through microbial genomes and identify genes with potential toxicity to bacteria. These genes serve as attractive candidates to possess antimicrobial properties.
Please enquire quoting reference no. 1590 regarding licensing or codevelopment partnerships.
Last Updated Jan 2014