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

ABSTRACT:

Background

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.

Objectives

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.

Materials and methods

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 databa

SUBMITTER: Shehroz M 

PROVIDER: S-EPMC7357695 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature