Assessment of new anti-HER2 ligands using combined docking, QM/MM scoring and MD simulation

dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorAhmed M.
dc.contributor.authorSadek M.M.
dc.contributor.authorSerrya R.A.
dc.contributor.authorKafafy A.-H.N.
dc.contributor.authorAbouzid K.A.
dc.contributor.authorWang F.
dc.contributor.otherEChemistry Laboratory
dc.contributor.otherFaculty of Life and Social Sciences
dc.contributor.otherSwinburne University of Technology
dc.contributor.otherMelbourne
dc.contributor.otherVIC 3122
dc.contributor.otherAustralia; Pharmaceutical Organic Chemistry
dc.contributor.otherFaculty of Pharmacy
dc.contributor.otherMSA University
dc.contributor.otherEgypt; Pharmaceutical Chemistry Department
dc.contributor.otherFaculty of Pharmacy
dc.contributor.otherAin Shams University
dc.contributor.otherCairo 11566
dc.contributor.otherEgypt; Pharmaceutical Organic Chemistry Department
dc.contributor.otherFaculty of Pharmacy
dc.contributor.otherAssiut University
dc.contributor.otherEgypt
dc.date.accessioned2020-01-09T20:42:27Z
dc.date.available2020-01-09T20:42:27Z
dc.date.issued2013
dc.descriptionScopus
dc.description.abstractIn the development of new anti-cancer drugs to tackle the problem of resistance to current chemotherapeutic agents, a new series of anti-HER2 (human epidermal growth factor receptors 2) agents has been synthesized and investigated using different computational methods. Although non-selective, the most active inhibitor in the new series shows higher activity toward HER2 than EGFR. The induced fit docking protocol (IFD) is performed to find possible binding poses of the new inhibitors in the active site of the HER2 receptor. Molecular dynamic simulations of the inhibitor-protein complexes for the two most active compounds from the new series are carried out. Simulations stability is checked using different stability parameters. Different scoring functions are employed. � 2012 Elsevier Inc.en_US
dc.description.urihttps://www.scimagojr.com/journalsearch.php?q=24621&tip=sid&clean=0
dc.identifier.doihttps://doi.org/10.1016/j.jmgm.2012.12.001
dc.identifier.doiPubMed ID 23353584
dc.identifier.issn10933263
dc.identifier.otherhttps://doi.org/10.1016/j.jmgm.2012.12.001
dc.identifier.otherPubMed ID 23353584
dc.identifier.urihttps://t.ly/BXJPn
dc.language.isoEnglishen_US
dc.relation.ispartofseriesJournal of Molecular Graphics and Modelling
dc.relation.ispartofseries40
dc.subjectAMBERen_US
dc.subjectHER2en_US
dc.subjectMolecular dynamicsen_US
dc.subjectProtein kinaseen_US
dc.subjectQM/MM scoringen_US
dc.subjectActive compoundsen_US
dc.subjectActive siteen_US
dc.subjectAnticancer drugen_US
dc.subjectChemotherapeutic agentsen_US
dc.subjectHER2en_US
dc.subjectHuman epidermal growth factoren_US
dc.subjectInduced fiten_US
dc.subjectMD simulationen_US
dc.subjectProtein kinaseen_US
dc.subjectQM/MM scoringen_US
dc.subjectScoring functionsen_US
dc.subjectStability parametersen_US
dc.subjectAmberen_US
dc.subjectComputer simulationen_US
dc.subjectProteinsen_US
dc.subjectMolecular dynamicsen_US
dc.subjectepidermal growth factor receptor 2en_US
dc.subjectepidermal growth factor receptor kinase inhibitoren_US
dc.subjectarticleen_US
dc.subjectdrug activityen_US
dc.subjectdrug bindingen_US
dc.subjectdrug stabilityen_US
dc.subjectdrug structureen_US
dc.subjectdrug synthesisen_US
dc.subjectmolecular dockingen_US
dc.subjectmolecular dynamicsen_US
dc.subjectpriority journalen_US
dc.subjectscoring systemen_US
dc.subjectAntineoplastic Agentsen_US
dc.subjectDrug Designen_US
dc.subjectHumansen_US
dc.subjectLigandsen_US
dc.subjectModels, Molecularen_US
dc.subjectProtein Bindingen_US
dc.subjectQuantum Theoryen_US
dc.subjectReceptor, erbB-2en_US
dc.subjectStructure-Activity Relationshipen_US
dc.titleAssessment of new anti-HER2 ligands using combined docking, QM/MM scoring and MD simulationen_US
dc.typeArticleen_US
dcterms.isReferencedByKokh, D.B., Wade, R.C., Wenzel, W., Receptor flexibility in small-molecule docking calculations (2011) WIREs Computational Molecular Science, 1, pp. 298-314; Waszkowycz, B., Clark, D.E., Gancia, E., Outstanding challenges in protein-ligand docking and structure-based virtual screening (2011) WIREs Computational Molecular Science, 1, pp. 229-259; Anderson, A.C., O'Neil, R.H., Surti, T.S., Stroud, R.M., Approaches to solving the rigid receptor problem by identifying a minimal set of flexible residues during ligand docking (2001) Chemistry and Biology, 8, pp. 445-457; Sherman, W., Beard, H.S., Farid, R., Use of an induced fit receptor structure in virtual screening (2006) Chemical Biology & Drug Design, 67, pp. 83-84; Delgado-Soler, L., Ari�ez-Soriano, J., Granadino-Rold�n, J., Rubio-Martinez, J., Predicting binding energies of CDK6 inhibitors in the hit-to-lead process (2011) Theoretical Chemistry Accounts: Theory, Computation, and Modeling/Theoretica Chimica Acta, 128, pp. 807-823; Alonso, H., Bliznyuk, A.A., Gready, J.E., Combining docking and molecular dynamic simulations in drug design (2006) Medicinal Research Reviews, 26, pp. 531-568; Zhong, H., Tran, L.M., Stang, J.L., Induced-fit docking studies of the active and inactive states of protein tyrosine kinases (2009) Journal of Molecular Graphics and Modelling, 28, pp. 336-346; Du, J., Sun, H., Xi, L., Li, J., Yang, Y., Liu, H., Yao, X., Molecular modeling study of checkpoint kinase 1 inhibitors by multiple docking strategies and prime/MM-GBSA calculation (2011) Journal of Computational Chemistry, 32, pp. 2800-2809; Gottesman, M.M., Fojo, T., Bates, S.E., Multidrug resistance in cancer: Role of ATP-dependent transporters (2002) Nature Reviews Cancer, 2, pp. 48-58; Szakacs, G., Paterson, J.K., Ludwig, J.A., Booth-Genthe, C., Gottesman, M.M., Targeting multidrug resistance in cancer (2006) Nature Reviews Drug Discovery, 5, pp. 219-234; Arkin, M., Moasser, M., HER-2-directed small-molecule antagonists (2008) Current Opinion in Investigational Drugs, 9, pp. 1264-1276; Sadek, M.M., Serrya, R.A., Kafafy, A.N., Ahmed, M., Wang, F., Abouzid, K.A., Discovery of New HER2/EGFR Dual Kinase Inhibitors Based on Anilinoquinazoline Scaffold As Potential Anti-cancer Agents, , submitted for publication; Aertgeerts, K., Skene, R., Yano, J., Sang, B.-C., Zou, H., Snell, G., Jennings, A., Sogabe, S., Structural analysis of the mechanism of inhibition and allosteric activation of the kinase domain of HER2 protein (2011) Journal of Biological Chemistry, 286, pp. 18756-18765; Sherman, W., Day, T., Jacobson, M.P., Friesner, R.A., Farid, R., Novel procedure for modeling ligand/receptor induced fit effects (2005) Journal of Medicinal Chemistry, 49, pp. 534-553; Schr�dinger Suite, Protein Preparation Wizard; Epik version 2.2, Schr�dinger, LLC, New York, 2011; Impact version 5.7, Schr�dinger, LLC, New York, 2011; Prime version 3.0, Schr�dinger, LLC, New York, 2011; Aparna, V., Rambabu, G., Panigrahi, S.K., Sarma, J.A.R.P., Desiraju, G.R., Virtual screening of 4-anilinoquinazoline analogues as EGFR kinase inhibitors: Importance of hydrogen bonds in the evaluation of poses and scoring functions (2005) Journal of Chemical Information and Modeling, 45, pp. 725-738; Zhang, B., Tan, V.B.C., Lim, K.M., Tay, T.E., Significance of water molecules in the inhibition of cylin-dependent kinase 2 and 5 complexes (2007) Journal of Chemical Information and Modeling, 47, pp. 1877-1885; Muzzioli, E., Del Rio, A., Rastelli, G., Assessing protein kinase selectivity with molecular dynamics and MM-PBSA binding free energy calculations (2011) Chemical Biology & Drug Design, 78, pp. 252-259; Balius, T.E., Rizzo, R.C., Quantitative prediction of fold resistance for inhibitors of EGFR (2009) Biochemistry, 48, pp. 8435-8448; Jacobson, M.P., Pincus, D.L., Rapp, C.S., Day, T.J.F., Honig, B., Shaw, D.E., Friesner, R.A., A hierarchical approach to all-atom protein loop prediction (2004) Proteins: Structure, Function, and Bioinformatics, 55, pp. 351-367; (2011) Prime, Version 3.0, , Schr�dinger, LLC, New York; Frisch, M.J., (2009) Gaussian09, Rev A.02, , Gaussian Inc. Wallingford, CT; (2011) Induced Fit Docking Protocol, , Schr�dinger Suite Glide version 5.7, Schr�dinger, LLC, New York, NY, 2011; Prime version 3.0, Schr�dinger, LLC, New York, NY, 2011; (2011) Glide, Version 5.7, , Schr�dinger, LLC, New York; Friesner, R.A., Murphy, R.B., Repasky, M.P., Frye, L.L., Greenwood, J.R., Halgren, T.A., Sanschagrin, P.C., Mainz, D.T., Extra precision glide: Docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes (2006) Journal of Medicinal Chemistry, 49, pp. 6177-6196; Case, D.A., (2012) AMBER 12, , University of California San Francisco; Duan, Y., Wu, C., Chowdhury, S., Lee, M.C., Xiong, G., Zhang, W., Yang, R., Kollman, P., A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations (2003) Journal of Computational Chemistry, 24, pp. 1999-2012; Hornak, V., Abel, R., Okur, A., Strockbine, B., Roitberg, A., Simmerling, C., Comparison of multiple Amber force fields and development of improved protein backbone parameters (2006) Proteins: Structure, Function, and Bioinformatics, 65, pp. 712-725; Mennucci, B., Tomasi, J., Cammi, R., Cheeseman, J.R., Frisch, M.J., Devlin, F.J., Gabriel, S., Stephens, P.J., Polarizable continuum model (PCM) calculations of solvent effects on optical rotations of chiral molecules (2002) Journal of Physical Chemistry A, 106, pp. 6102-6113; Bayly, C.I., Cieplak, P., Cornell, W., Kollman, P.A., A well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: The RESP model (1993) Journal of Physical Chemistry, 97, pp. 10269-10280; Wang, J., Wolf, R.M., Caldwell, J.W., Kollman, P.A., Case, D.A., Development and testing of a general amber force field (2004) Journal of Computational Chemistry, 25, pp. 1157-1174; Jorgensen, W.L., Chandrasekhar, J., Madura, J.D., Impey, R.W., Klein, M.L., Comparison of simple potential functions for simulating liquid water (1983) Journal of Chemical Physics, 79, pp. 926-935; Ryckaert, J.-P., Ciccotti, G., Berendsen, H.J.C., Numerical integration of the cartesian equations of motion of a system with constraints: Molecular dynamics of n-alkanes (1977) Journal of Computational Physics, 23, pp. 327-341; Berendsen, H.J.C., Postma, J.P.M., Van Gunsteren, W.F., Dinola, A., Haak, J.R., Molecular dynamics with coupling to an external bath (1984) Journal of Chemical Physics, 81, pp. 3684-3690; Darden, T., York, D., Pedersen, L., Particle mesh Ewald: An N�log (N) method for Ewald sums in large systems (1993) Journal of Chemical Physics, 98, pp. 10089-10092; Murphy, R.B., Philipp, D.M., Friesner, R.A., A mixed quantum mechanics/molecular mechanics (QM/MM) method for large-scale modeling of chemistry in protein environments (2000) Journal of Computational Chemistry, 21, pp. 1442-1457; (2011) QSite, Version 5.7, , Schr�dinger, LLC, New York; Hou, T., Wang, J., Li, Y., Wang, W., Assessing the performance of the MM/PBSA and MM/GBSA methods. 1. the accuracy of binding free energy calculations based on molecular dynamics simulations (2010) Journal of Chemical Information and Modeling, 51, pp. 69-82; Fry, D.W., Mechanism of action of erbB tyrosine kinase inhibitors (2003) Experimental Cell Research, 284, pp. 131-139; Humphrey, W., Dalke, A., Schulten, K., VMD: Visual molecular dynamics (1996) Journal of Molecular Graphics, 14, pp. 33-38
dcterms.sourceScopus

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
avatar_scholar_128.png
Size:
2.73 KB
Format:
Portable Network Graphics
Description: