title: Binding mode analyses of NAP derivatives as mu opioid receptor selective ligands through docking studies and molecular dynamics simulation.
abstract: Mu opioid receptor selective antagonists are highly desirable because of their utility as pharmacological probes for receptor characterization and functional studies. Furthermore, the mu opioid receptors act as an important target in drug abuse and addiction treatment. Previously, we reported NAP as a novel lead compound with high selectivity and affinity towards the mu opioid receptor. Based on NAP, we have synthesized its derivatives and further characterized their binding affinities and selectivity towards the receptor. NMP and NGP were identified as the two most selective MOR ligands among NAP derivatives. In the present study, molecular modeling methods were applied to assess the dual binding modes of NAP derivatives, particularly on NMP and NGP, in three opioid receptors, in order to analyze the effects of structural modifications on the pyridyl ring of NAP on the binding affinity and selectivity. The results indicated that the steric hindrance, electrostatic, and hydrophobic effects caused by the substituents on the pyridyl ring of NAP contributed complimentarily on the binding affinity and selectivity of NAP derivatives to three opioid receptors. Analyses of these contributions provided insights on future design of more potent and selective mu opioid receptor ligands.
authors.affiliation: Department of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, 800 E Leigh Street, Richmond, VA 23298, United States.
authors.forename: Huiqun
authors.initials: H
authors.lastname: Wang
authors.affiliation: Department of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, 800 E Leigh Street, Richmond, VA 23298, United States.
authors.forename: Saheem A
authors.initials: SA
authors.lastname: Zaidi
authors.affiliation: Department of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, 800 E Leigh Street, Richmond, VA 23298, United States. Electronic address: yzhang2@vcu.edu.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D057927:Hydrophobic and Hydrophilic Interactions; D008024:Ligands; D062105:Molecular Docking Simulation; D056004:Molecular Dynamics Simulation; D017450:Receptors, Opioid, mu / Q000378:metabolism*; D055672:Static Electricity
chemical_list: D008024:Ligands; D017450:Receptors, Opioid, mu
keywords: Binding affinity; Dual binding modes; Molecular modeling; NAP derivatives; Opioid receptors; Selectivity