Article Details

2015 | October-December | Issue4
Original Article
In Silico-based Study of Cytochrome P450 and Multidrug Resistance Protein 1 from Docking Perspective to Understand Kidney Failure
Vasudha Satalkar, C Selvaa Kumar, Mansee Thakur, Dattatraya Shankar Joshi
Author Affiliation
Vasudha Satalkar : MGM Institute of Health Sciences, Navi Mumbai, Maharashtra, India

C Selvaa Kumar : School of Biotechnology and Bioinformatics, DY Patil University, Navi Mumbai, Maharashtra India

Mansee Thakur : MGM Institute of Health Sciences, Navi Mumbai, Maharashtra, India

Dattatraya Shankar Joshi : MGM Institute of Health Sciences, Navi Mumbai, Maharashtra, India

10.5005/jp-journals-10036-1067

ABSTRACT

Background: The need to identify causes of drug induced kidney failure has been underscored by International Conference on Harmonization (ICH) regulated agencies. In our earlier studies on adverse drug reaction (ADR) reported in Canada Vigilance Adverse Reaction Online Database it was observed that drugs azathioprine, clozaril/clozapine, diclofenac sodium, diflucan/ fluconazole, furosemide, indomethacin, metformin, micardis/ telmisartan, viread/tenofovir, and zyprexa/olanzapine lead to kidney failure.

Method: Attempts have been made to understand the physiological process via bioinformatics perspective. This was done by active site identification for cytochrome P450 along with multidrug resistance protein 1 (MRP1). Docking against the drugs in these proteins that are categorically involved in drug binding based on their pharmacological actions are as per drug bank annotations.

Results: Cytochrome P450 2C19 protein showed better interactions with drug indomethacin with a maximum score of -119.2 kcal/mol followed by drug clozaril with a score of -102.5 kcal/mol. This was finally followed by of drug zyprexa with a score of -101.0 kcal/mol. The residues which are actively involved with the drug indomethacin include Arg97 and Arg433. Drug clozaril shows interaction with Ala297. For drug zyprexa the residues like Arg97, Ala297 and Cys435 interact with the protein. For MRP1, even though it showed better binding scores for drugs azathioprine, indomethacin, diflucan and furosemide. But still, they are not able to interact within the pocket, leaving it empty during docking studies.

Conclusion: Through this study, it was possible to identify active site pocket in the related proteins and the interacting amino acid residues of cytochrome P450 that may contribute to drug induced kidney failure.

Keywords: Cytochrome P450, Docking, Renal failure, Virtual screening.

How to cite this article: Satalkar V, Kumar CS, Thakur M, Joshi DS. In Silico-based Study of Cytochrome P450 and Multidrug Resistance Protein 1 from Docking Perspective to Understand Kidney Failure. MGM J Med Sci 2015;2(4):173-178.

Source of support: Nil

Conflict of interest: None

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