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Title

Dtar-Finder: program for drug target identification and characterization in bacteria

Authors

Rati Sudha & Purushottam Prasad*

 

Affiliation

P.G. Department of Zoology, ANS College, Magadh University, Patna (Barh) 803213, India

 

Email

Dr. Purushottam Prasad - Email: 202pprasad@gmail.com; *Corresponding author

 

Article Type

Research Article

 

Date

Received February 26, 2019; Accepted March 4, 2019; Published March 15, 2019

 

Abstract

The drug target identification is the primary step for drug discovery. Recent development of computational techniques and availability of sequencing data has provided numerous opportunities for target identification but very few of them are fully automated. Here, we have developed a Perl program named Dtar-Finder for drug target identification and its characterization. Dtar-Finder predicts the drug targets which are essential to pathogen and non homologous to human, essential human anti-targets and gut microflora. This program is divided in 6 modules where modules 1-4 extract drug targets while module 5-6 predicts druggability and broad spectrum ability of identified candidates. The performance of this program in terms of sensitivity and specificity is calculated where specificity score was better compare to sensitivity score. Further, we have tested our script on C. botulinum (3572 proteins) and 35 potential drug targets have been identified. Out of which 16 broad spectrums candidates were predicted whereas 8 candidates are found to be druggable whiles remaining are considered to be ‘novel’. These drug targets were cross-validated through literature showing 77.14% accuracy. Thus, the idea behind this work was to develop a fast, robust and generic program capable of finding drug targets in bacteria, which has been fulfilled satisfactorily.

 

Keywords

Drug target, Perl script, C. botulinum

 

Citation

Sudha & Prasad, Bioinformation 15(3): 209-213 (2019)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.