Nucleotide binding domain 1 pharmacophore modeling for visualization and analysis of P-glycoprotein–flavonoid molecular interactions

Pathomwat Wongrattanakamon, Vannajan Sanghiran Lee, Piyarat Nimmanpipug, Supat Jiranusornkul

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Front. Biol. ›› 2016, Vol. 11 ›› Issue (5) : 391-395. DOI: 10.1007/s11515-016-1421-3
SHORT COMMUNICATION
SHORT COMMUNICATION

Nucleotide binding domain 1 pharmacophore modeling for visualization and analysis of P-glycoprotein–flavonoid molecular interactions

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Abstract

BACKGROUND: P-glycoprotein (P-gp) is a 170-kDa membrane protein. It provides a barrier function and help to excrete toxins from the body as a transporter. Some bioflavonoids have been shown to block P-gp activity.

OBJECTIVE: To evaluate the important amino acid residues within nucleotide binding domain 1 (NBD1) of P-gp that play a key role in molecular interactions with flavonoids using structure-based pharmacophore model.

METHODS: In the molecular docking with NBD1 models, a putative binding site of flavonoids was proposed and compared with the site for ATP. The binding modes for ligands were achieved using LigandScout to generate the P-gp–flavonoid pharmacophore models.

RESULTS: The binding pocket for flavonoids was investigated and found these inhibitors compete with the ATP for binding site in NBD1 including the NBD1 amino acid residues identified by the in silico techniques to be involved in the hydrogen bonding and van der Waals (hydrophobic) interactions with flavonoids.

CONCLUSION: These flavonoids occupy with the same binding site of ATP in NBD1 proffering that they may act as an ATP competitive inhibitor.

Keywords

P-glycoprotein / Nucleotide-binding domain 1 / pharmacophore model / flavonoid / competitive inhibition / herb-drug interaction

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Pathomwat Wongrattanakamon, Vannajan Sanghiran Lee, Piyarat Nimmanpipug, Supat Jiranusornkul. Nucleotide binding domain 1 pharmacophore modeling for visualization and analysis of P-glycoprotein–flavonoid molecular interactions. Front. Biol., 2016, 11(5): 391‒395 https://doi.org/10.1007/s11515-016-1421-3

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Acknowledgements

This paper is part of the Ph.D. thesis which was implemented with partial financial support number 32/2559 from the Graduate School, Chiang Mai University, Thailand. The authors would like to thank Inte:Ligand Software-Entwicklungs und Consulting GmbH for providing an academic free license for LigandScout 3.12.

Compliance with ethics guidelines

Pathomwat Wongrattanakamon, Vannajan Sanghiran Lee, Piyarat Nimmanpipug and Supat Jiranusornkul declares that they have no conflict of interest. This article does not contain any studies with human or animal subjects performed by any of the authors.

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2016 Higher Education Press and Springer-Verlag Berlin Heidelberg
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