Literature DB >> 21476521

Rigorous treatment of multispecies multimode ligand-receptor interactions in 3D-QSAR: CoMFA analysis of thyroxine analogs binding to transthyretin.

Senthil Natesan1, Tiansheng Wang, Viera Lukacova, Vladimir Bartus, Akash Khandelwal, Stefan Balaz.   

Abstract

For a rigorous analysis of the receptor-ligand binding, speciation of the ligands caused by ionization, tautomerism, covalent hydration, and dynamic stereoisomerism needs to be considered. Each species may bind in several orientations or conformations (modes), especially for flexible ligands and receptors. A thermodynamic description of the multispecies (MS), multimode (MM) binding events shows that the overall association constant is equal to the weighted sum of the sums of microscopic association constants of individual modes for each species, with the weights given by the unbound fractions of individual species. This expression is a prerequisite for a precise quantitative characterization of the ligand-receptor interactions in both structure-based and ligand-based structure-activity analyses. We have implemented the MS-MM correlation expression into the comparative molecular field analysis (CoMFA), which deduces a map of the binding site from structures and binding affinities of a ligand set, in the absence of experimental structural information on the receptor. The MS-MM CoMFA approach was applied to published data for binding to transthyretin of 28 thyroxine analogs, each forming up to four ionization species under physiological conditions. The published X-ray structures of several analogs, exhibiting multiple binding modes, served as templates for the MS-MM superposition of thyroxine analogs. Additional modes were generated for compounds with flexible alkyl substituents, to identify bound conformations. The results demonstrate that the MS-MM modification improved predictive abilities of the CoMFA models, even for the standard procedure with MS-MM selected species and modes. The predicted prevalences of individual modes and the generated receptor site model are in reasonable agreement with the available X-ray data. The calibrated model can help in the design of inhibitors of transthyretin amyloid fibril formation.

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Year:  2011        PMID: 21476521      PMCID: PMC3223556          DOI: 10.1021/ci200055s

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  64 in total

1.  QSAR of benzene derivatives: comparison of classical descriptors, quantum theoretic parameters and flip regression, exemplified by phenylalkylamine hallucinogens.

Authors:  Brian W Clare
Journal:  J Comput Aided Mol Des       Date:  2002 Aug-Sep       Impact factor: 3.686

2.  Conversion of thyroxine to 3-5-3'-triiodothyronine in vivo.

Authors:  R PITT-RIVERS; J B STANBURY; B RAPP
Journal:  J Clin Endocrinol Metab       Date:  1955-05       Impact factor: 5.958

3.  In silico prediction of receptor-mediated environmental toxic phenomena-application to endocrine disruption.

Authors:  M A Lill; M Dobler; A Vedani
Journal:  SAR QSAR Environ Res       Date:  2005 Feb-Apr       Impact factor: 3.000

4.  Theoretical model-based equations for the linear free energy relationships of the biological activity of ionizable substances. 1. Equilibrium-controlled potency.

Authors:  Y C Martin; J J Hackbarth
Journal:  J Med Chem       Date:  1976-08       Impact factor: 7.446

5.  A generalized formalism of three-dimensional quantitative structure-property relationship analysis for flexible molecules using tensor representation.

Authors:  A J Hopfinger; B J Burke; W J Dunn
Journal:  J Med Chem       Date:  1994-10-28       Impact factor: 7.446

6.  Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity.

Authors:  G Klebe; U Abraham; T Mietzner
Journal:  J Med Chem       Date:  1994-11-25       Impact factor: 7.446

7.  Quantitative structure-activity relationships by distance geometry: systematic analysis of dihydrofolate reductase inhibitors.

Authors:  G M Crippen
Journal:  J Med Chem       Date:  1980-06       Impact factor: 7.446

8.  Mechanism of molecular recognition. Structural aspects of 3,3'-diiodo-L-thyronine binding to human serum transthyretin.

Authors:  A Wojtczak; J Luft; V Cody
Journal:  J Biol Chem       Date:  1992-01-05       Impact factor: 5.157

9.  Role of iodine in thyroid hormones: molecular conformation of a halogen-free hormone analogue.

Authors:  V Cody
Journal:  J Med Chem       Date:  1980-05       Impact factor: 7.446

10.  Quantitative structure-activity relationships by distance geometry: thyroxine binding site.

Authors:  G M Crippen
Journal:  J Med Chem       Date:  1981-02       Impact factor: 7.446

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  3 in total

1.  Site-specific basicities regulate molecular recognition in receptor binding: in silico docking of thyroid hormones.

Authors:  Gergő Tóth; Ferenc Baska; András Schretner; Akos Rácz; Béla Noszál
Journal:  Eur Biophys J       Date:  2013-08-02       Impact factor: 1.733

Review 2.  Rigorous incorporation of tautomers, ionization species, and different binding modes into ligand-based and receptor-based 3D-QSAR methods.

Authors:  Senthil Natesan; Stefan Balaz
Journal:  Curr Pharm Des       Date:  2013       Impact factor: 3.116

3.  Cellular quantitative structure-activity relationship (Cell-QSAR): conceptual dissection of receptor binding and intracellular disposition in antifilarial activities of Selwood antimycins.

Authors:  Senthil Natesan; Tiansheng Wang; Viera Lukacova; Vladimir Bartus; Akash Khandelwal; Rajesh Subramaniam; Stefan Balaz
Journal:  J Med Chem       Date:  2012-04-11       Impact factor: 7.446

  3 in total

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