ArticleBioinformation2015
Molecular docking based screening of GABA (A) receptor inhibitors from plant derivatives.
Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Safety, Sedative, and Anxiolytic Evaluation of MECS Hard Capsules Using In Silico and In Vivo Approaches.ACS omega · 2026Article
- Sleep disorders cause Parkinson's disease or the reverse is true: Good GABA good night.CNS neuroscience & therapeutics · 2024Review
- Anti-epileptic Kunitz-like peptides discovered in the branching coral Acropora digitifera through transcriptomic analysis.Archives of toxicology · 2022Article
- Structure-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation of VEGF inhibitors for the clinical treatment of Ovarian Cancer.Journal of molecular modeling · 2022Article
- Identification of Potent VEGF Inhibitors for the Clinical Treatment of Glioblastoma, A Virtual Screening Approach.Asian Pacific journal of cancer prevention : APJCP · 2019Article
- Pharmacoinformatics and molecular docking reveal potential drug candidates against Schizophrenia to target TAAR6.Journal of cellular physiology · 2019Article
- Design of novel JAK3 Inhibitors towards Rheumatoid Arthritis using molecular docking analysis.Bioinformation · 2019Article
- Design of PD-L1 inhibitors for lung cancer.Bioinformation · 2019Article
- Virtual Screening of IL-6 Inhibitors for Idiopathic Arthritis.Bioinformation · 2019Article
- FLT3 inhibitor design using molecular docking based virtual screening for acute myeloid leukemia.Bioinformation · 2019Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
unlabelledThe present antipsychotic drugs have known to show serious concerns like extra pyramidal side effects therefore, pursuit for novel antipsychotic GABAnergic drugs has lately focused on the folkloric medicine from plant derivatives as better treatment option of schizophrenia. The present study centers to identify potential inhibitors of plant origin for GABA receptor through in silico approaches. Three compound datasets were undertaken in the study. The first set consisted of seven compounds which included Magnolol, Honokiol and other plant derivatives. The second set consisted of 16 derivatives of N-diarylalkenyl-piperidinecarboxylic acid synthesized by Zheng et al., 2006. The third dataset had thirty two compounds which were Magnolol and Honokiol analogues synthesized by Fuchs et al., 2014. All the compounds were docked at the allosteric site of the GABA (A) receptor. The compounds were further tested for ADMET and biological activity. We observed Honokiol and its derivatives demonstrated superior druglike properties than any compound undertaken in the study. Further, compound 61 [2-(4-methoxyphenyl)-4-propylphenol] of dataset three - a synthetic derivative of honokiol had better profile than its parent compound. In a possible attempt to identify compound with even better efficacious compound than 61, virtual screening was performed, 135 compounds akin to compound 61 were retrieved. Interestingly none of the 135 compounds showed better druggable properties than compound 61. Our in silico pharmacological profiling of compounds is in coherence and is complemented by the findings of Fuchs et al, which also revealed compound 61 to be the good potentiator of GABA receptor. ABBREVIATIONS: GABA (A) R - Gamma Amino Butyric Acid Receptor, subtype A, GPCR - G Protein Coupled Receptor, OPLS - Optimized Potentials for Liquid Simulations, PDB - Protein Data Bank, PLP - Piece wise Linear Potential, T.E.S.T - Toxicity Estimation Software Tool, TCM - Traditional Chinese Medicine.
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