Literature DB >> 30121710

An insight into paracetamol and its metabolites using molecular docking and molecular dynamics simulation.

Yuanqiang Wang1,2,3,4,5,6,7, Weiwei Lin1,2,3,4, Nan Wu1,2,3,4, Xibing He1,2,3,4, Junmei Wang1,2,3,4, Zhiwei Feng8,9,10,11, Xiang-Qun Xie12,13,14,15.   

Abstract

Paracetamol is a relatively safe analgesia/antipyretic drug without the risks of addiction, dependence, tolerance, and withdrawal when used alone. However, when administrated in an opioid/paracetamol combination product, which often contains a large quantity of paracetamol, it can be potentially dangerous due to the risk of hepatotoxicity. Paracetamol is known to be metabolized into N-(4-hydroxyphenyl)-arachidonamide (AM404) via fatty acid amide hydrolase (FAAH) and into N-acetyl-p-benzoquinone imine (NAPQI) via cytochrome P450 (CYP) enzymes. However, the underlying mechanism of paracetamol is still unclear. In addition, paracetamol has the potential to interact with other drugs that are also involved with CYP family enzymes (inducer/inhibitor/substrate), an example being illicit drugs. In our present work, we looked into the relationship between paracetamol and its metabolites (AM404 and NAPQI) using molecular docking and molecular dynamics (MD) simulations. We first carried out a series of molecular docking studies between paracetamol/AM404/NAQPI and their reported targets, including CYP 2E1, FAAH, TRPA1, CB1, and TRPV1. Subsequently, we performed MD simulations and energy decomposition for CB1-AM404, TRPV1-AM404, and TRPV1-NAPQI for further investigation of the dynamics interactions. Finally, we summarized and discussed the reported drug-drug interactions between paracetamol and central nervous system drugs, especially illicit drugs. Overall, we are able to provide new insights into the structural and functional roles of paracetamol and its metabolites that can inform the potential prevention and treatment of paracetamol overdose. Graphical abstract Paracetamol and its metabolites.

Entities:  

Keywords:  Acetaminophen; CB1; Drug abuse; Overdose; TRPA1; TRPV1

Year:  2018        PMID: 30121710      PMCID: PMC6733030          DOI: 10.1007/s00894-018-3790-9

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


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Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
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3.  GPCR structure-based virtual screening approach for CB2 antagonist search.

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Journal:  J Chem Inf Model       Date:  2015-02-18       Impact factor: 4.956

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6.  TRPA1 mediates spinal antinociception induced by acetaminophen and the cannabinoid Δ(9)-tetrahydrocannabiorcol.

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