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Related Experiment Video

Updated: May 15, 2026

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028

Published on: January 13, 2017

StreptomycesInforSys: A web-enabled information repository.

Chakresh Kumar Jain¹, Vidhi Gupta, Ashvarya Gupta

¹Department of Biotechnology, Jaypee Institute of Information Technology, A-10, Sector 62, Noida- 201307, India.

|January 1, 2013

Summary

This summary is machine-generated.

This study introduces a free, accessible database for classifying Streptomyces species using polyphasic typing. This tool aids researchers in pharmacological screening by organizing scattered data on Streptomyces strains.

Keywords:

Literature Molecular MySQL PHP Streptomyces

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Area of Science:

Microbiology
Bioinformatics
Pharmacology

Background:

Streptomyces are key producers of 70% of natural bioactive products.
Information on Streptomyces classification (phenotypic, genotypic, bioactive profiles) is vital for drug discovery but is fragmented and often inaccessible.
Existing resources lack a centralized, easily searchable platform for this crucial data.

Purpose of the Study:

To develop a free, relational database integrating polyphasic typing information for Streptomyces.
To facilitate efficient screening of new Streptomyces isolates for pharmacological potential.
To aid in the preliminary categorization of Streptomyces groups.

Main Methods:

Developed a cross-platform relational database using XAMPP Web server.
Employed PHP, HTML, and MySQL for dynamic information storage and retrieval.
Incorporated multiple search options for user-friendly querying of polyphasic typing data.

Main Results:

Created a free, accessible database for Streptomyces classification.
The database integrates phenotypic, genotypic, and bioactive component production data.
The system supports efficient screening and preliminary categorization of isolates.

Conclusions:

The developed database provides a centralized, user-friendly resource for Streptomyces research.
It enhances pharmacological screening programs by consolidating scattered information.
The use of open-source freeware (PHP, MySQL, Apache) ensures low running and maintenance costs.