The In Silico Characterization of a Salicylic Acid Analogue Coding Gene Clusters in Selected Pseudomonas fluorescens Strains

Iranian Journal of Biotechnology
Muhammad ShehrozAsifullah Khan

Abstract

The microbial genome sequences provide solid in silico framework for interpretation of their drug-like chemical scaffolds biosynthetic potentials. Pseudomonas fluorescens strains are metabolically versatile and producing therapeutically important natural products. The key objective of the present study was to mine the publically available data of P. fluorescens strains genomes for putative drug-like metabolites identification. We implemented the computational biology resources of AntiSMASH and BAGEL3 for the secondary metabolites prediction from P. fluorescens strains genome sequences. The predicted secondary metabolites were evaluated using drug discovery chemoinformatics resources, like Drugbank database search and molecular docking inspection. The analyses unveiled a wide array of chemical scaffolds biosynthesis in different P. fluorescens strains. Subsequently, the drug-like potential evaluation of these metabolites identified few strains, includingP. fluorescens PT14, P. fluorescens A5O6, and P. fluorescens FW300-N2E3 that harbor the biosynthetic gene clusters for salicylic acid-like metabolite biosynthesis. The molecular docking inspection of this metabolite against human cyclooxygenase and aldo-keto reductase targets rev...Continue Reading

Methods Mentioned

BETA
acetylation

Software Mentioned

AntiSMASH
ClusterFinder
MEGA7
ChemDraw
ClusterBlast
MOE
MOE ( Molecular Operating Environment
BLASTN

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