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A novel identification approach for discovery of 5-HydroxyTriptamine 2A antagonists: combination of 2D/3D similarity screening, molecular docking and molecular dynamics

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posted on 2018-03-05, 09:23 authored by Rakesh Kumar, Dhananjay Jade, Dinesh Gupta

5-HydroxyTriptamine 2A antagonists are potential targets for treatment of various cerebrovascular and cardiovascular disorders. In this study, we have developed and performed a unique screening pipeline for filtering ZINC database compounds on the basis of similarities to known antagonists to determine novel small molecule antagonists of 5-HydroxyTriptamine 2A. The screening pipeline is based on 2D similarity, 3D dissimilarity and a combination of 2D/3D similarity. The shortlisted compounds were docked to a 5-HydroxyTriptamine 2A homology-based model, and complexes with low binding energies (287 complexes) were selected for molecular dynamics (MD) simulations in a lipid bilayer. The MD simulations of the shortlisted compounds in complex with 5-HydroxyTriptamine 2A confirmed the stability of the complexes and revealed novel interaction insights. The receptor residues S239, N343, S242, S159, Y370 and D155 predominantly participate in hydrogen bonding. ππ stacking is observed in F339, F340, F234, W151 and W336, whereas hydrophobic interactions are observed amongst V156, F339, F234, V362, V366, F340, V235, I152 and W151. The known and potential antagonists shortlisted by us have similar overlapping molecular interaction patterns. The 287 potential 5-HydroxyTriptamine 2A antagonists may be experimentally verified.

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    Journal of Biomolecular Structure and Dynamics

    Keywords

    drug discoveryG-protein coupled receptor2D/3D screening2D similarity3D similarityligand-based virtual screening5HT2A5HT, 5-HydroxyTryptamineCNS, central nervous systemPNS, peripheral nervous systemSCA, stochastic clustering algorithmSDF, structure data fileTc, tanimoto coefficientμM, micromolarnm, nanomolarKi, equilibrium dissociation constant for the ligandSPC, single point chargeNHB, number of hydrogen bondsSSE, secondary structure elementsRg, radius of gyrationSASA, solvent accessible surface areaPDB, protein data bankMD, molecular dynamicβ2-AR, β2 adrenergic receptorRMSD, root mean square deviationGPCRs, G protein-coupled receptorsTPSA, topological polar surface areaBLAST, basic local alignment search toolJC virus, John Cunningham virusPOPC, 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholineDOPE, discrete optimized protein energyOCD, obsessive compulsive disorderADHD, attention deficit hyperactivity disordersLBVS, ligand-based virtual screening2D, two-dimensional space3D, three-dimensional spaceMW, molecular weightHBA, hydrogen bond acceptorsHBD, hydrogen bond donorsP5/P95, percentile calculationSPD, simple point chargeCl− ions, chloride ionsSD, steepest descentns, nanosecondfs, femtosecondPME, Particle Mesh EwaldRMSF, root mean square fluctuationsPLIP, protein–ligand interaction profilerHB, hydrogen bondTM, Transmembranekcal/mol, kilocalorie per mole sn-1kJ/mol, kilo Joule per molSn-1/sn-2, Stereospecific numberMSD, mean square displacementPAINS, Pan assay interference compoundsÅ, Ångström

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