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2.
Bioinformation ; 15(1): 18-25, 2019.
Article in English | MEDLINE | ID: mdl-31359994

ABSTRACT

A subtractive genomic approach has been utilized for the identification of potential drug targets and vaccine candidates in Clostridium botulinum, the causative agent of flaccid paralysis in humans. The emergence of drug-resistant pathogenic strains has become a significant global public health threat. Treatment with antitoxin can target the neurotoxin at the extracellular level, however, can't converse the paralysis caused by botulism. Therefore, identification of drug targets and vaccine candidates in C. botulinum would be crucial to overcome drug resistance to existing antibiotic therapy. A total of 1729 crucial proteins, including chokepoint, virulence, plasmid and resistance proteins were mined and used for subtractive channel of analysis. This analysis disclosed 15 potential targets, which were non-similar to human, gut micro flora, and anti-targets in the host. The cellular localization of 6 targets was observed in the cytoplasm and might be used as a drug target, whereas 9 targets were localized in extracellular and membrane bound proteins and can be used as vaccine candidates. Furthermore, 4 targets were observed to be homologous to more than 75 pathogens and hence are considered as broad-spectrum antibiotic targets. The identified drug and vaccine targets in this study would be useful in the design and discovery of novel therapeutic compounds against botulism.

3.
Bioinformation ; 15(3): 209-213, 2019.
Article in English | MEDLINE | ID: mdl-31354197

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.

4.
Bioinformation ; 11(10): 481-5, 2015.
Article in English | MEDLINE | ID: mdl-26664033

ABSTRACT

Attacin gene exists as paralogous conversion and is being used for identification of strain variations in insects based on the sequence variation. Hence, a study was undertaken to analyze the sequence variation of the attacin gene isoforms in the tasar silkworm Anthereae mylitta that exists in the form of different ecoraces depending upon the environment, food plant and location. Comparison of the previously reported attacin sequences with the DNA sequences of attacin A and B genes revealed six amino acid substitutions among the sequences of the ecoraces which however did not affect the functional domain of Attacin. The generated dendrogram clearly indicated unique branches for each ecorace with two separate gene clusters for attacin A and B. The Sarihan ecorace formed a separate sub-group under both the gene clusters. The present study also revealed the presence of Attacin_N Superfamily domain exclusively in Exon I separated from the Attacin_C Superfamily domain that was present in Exon II and part of Exon III, a prominent character of attacin gene. The phylogenetic reconstruction analysis of attacin gene in A.mylitta supported the common evolutionary origin of attacin genes belonging to the Lepidoteran and Dipteran families that formed two separate clusters.

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