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Title

Structure based virtual screening of ligands to identify cysteinyl leukotriene receptor 1 antagonist

 

Authors

Srinivas Bandaru1, Vijaya Kumar Marri2, Priyadarshani Kasera3, Purnima Kovuri1, Amandeep Girdhar5, Deepti Raj Mittal4, Sabeen Ikram5, Ravi GV5 & Anuraj Nayarisseri5*

 

Affiliation

1Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad–500 016, India; 2Government General and Chest Hospital, Gandhi Medical College and Osmania Medical College, Hyderabad - 500 038, India; 3School of Computer Science and IT, Devi Ahilya Vishwavidyalaya, Khandwa Road, Indore - 452001, India; 4Center for Bioinformatics, Saarland University, Saarbrucken - 66123, Germany; 5In silico Research Laboratory, Eminent Biosciences, Vijaynagar, Indore - 452 010, India

 

Email

anuraj@eminentbio.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received October 07, 2014; Accepted October 14, 2014; Published October 30, 2014

 

Abstract

Montelukast and Zafirlukast are known leukotriene receptor antagonists prescribed in asthma treatment. However, these fall short as mono therapy and are frequently used in combination with inhaled glucocorticosteroids with or without long acting beta 2 agonists. Therefore, it is of interest to apply ligand and structure based virtual screening strategies to identify compounds akin to lead compounds Montelukast and Zafirlukast. Hence, compounds with structures having 95% similarity to these compounds were retrieved from NCBI’s PubChem database. Compounds similar to lead were grouped and docked at the antagonist binding site of cysteinyl leukotriene receptor 1. This exercise identified compounds UNII 70RV86E50Q (Pub Cid 71587778) and Sure CN 9587085 (Pub Cid 19793614) with higher predicted binding compared to Montelukast and Zafirlukast. It is shown that the compound Sure CN 9587085 showed appreciable ligand receptor interaction compared to UNII 70RV86E50Q. Thus, the compound Sure CN 9587085 is selected as a potent antagonist to cysteinyl leukotriene receptor 1 for further consideration in vitro and in vivo validation.

 

Keywords

Leukotriene antagonists, Virtual screening, Molecular docking, Pharmacophoric identification.

 

Citation

Bandaru et al. Bioinformation 10(10): 652-657 (2014)

 

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.