Molecular modelling study on human histamine H1 receptor and its applications in virtual lead identification for designing novel inverse agonists |
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Authors: | Sundarapandian Thangapandian Shalini John Sugunadevi Sakkiah |
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Institution: | Department of Biochemistry and Division of Applied Life Science (BK21 Programme) , Environmental Biotechnology National Core Research Center (EB-NCRC), Gyeongsang National University (GNU) , 900 Gazwa-dong, Jinju , 660701 , Republic of Korea |
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Abstract: | Human histamine H1 receptor (HHR1) is one of the G protein-coupled receptors (GPCRs) known for their constitutive activation in the absence of agonist binding. Inverse agonists are the compounds that inhibit this constitutive activity of GPCRs. HHR1 is involved in allergic reactions and is also known to be constitutively active. An updated quantitative pharmacophore model, Hypo1, has been developed using a diverse set of known HHR1 inverse agonists employing the HypoGen algorithm as implemented in Accelrys Discovery Studio 2.1. Hypo1 comprised four pharmacophore features (each one of hydrogen bond acceptor, hydrophobic, ring aromatic and positive ionisable group) along with a high correlation value of 0.944. This pharmacophore model was validated using an external test set containing 25 diverse inverse agonists and CatScramble method. Three chemical databases were screened for novel chemical scaffolds using Hypo1 as a query, to be utilised in drug design. The 3D structure of HHR1 has been constructed using human β2 adrenergic receptor. Molecular docking studies were performed with the database hit compounds using GOLD 4.1 program. The combination of all results led us to identify novel compounds to be deployed in designing new generation HHR1 inverse agonists. |
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Keywords: | pharmacophore homology modelling inverse agonists histamine H1 receptor database screening |
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