Title

Authors

Affiliation

Department of Bioinformatics, Sri Ramachandra University, Porur, Chennai – 600 116, India.

Email

sru.bioinformatics.research2@gmail.com; *Corresponding author

Article Type

Hypothesis

Date

Received June 20, 2012; Accepted June 26, 2012; Published July 06, 2012

Therapeutic agents with a goal to eradicate cancer needs to capable of inhibiting the growth and kill, any preformed tumor and should also inhibit oncogenic transformation of normal cells to cancer cells. Bacteriocins are bacterial proteins produced to prevent the growth of competing microorganisms in a particular biological niche and have been proved to possess antineoplastic activity. The entire genome of Lactobacillus salavarius was scanned for putative bacteriocins and subsequently these bacteriocins were characterized by subjecting them as functional annotation algorithms. Azurin is a well characterized bacteriocins with proven cytostatic and apoptotic effect against human cancer cell and was taken as control. Functional characterization revealed that the three bacteriocins Lsl_003, Lsl_0510, Lsl_0554 possessed functional properties very similar to that of Azurin. Molecular screening of these bacteriocins against the common cancer targets p53, Rb1 and AR revealed that Lsl_0510 possessed highest binding affinity towards the all the three receptors making it to ideal candidate for future cancer therapeutics.

Keywords

Cancer, Bioinformatics, Computer Aided Drug Design (CADD), Insilico Protein characterization, Bacteriocins, Docking

Citation

Shaikh et al. Bioinformation 8(13): 589-594 (2012)
 

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.