Literature DB >> 16699191

Interaction energies between glycopeptide antibiotics and substrates in complexes determined by X-ray crystallography: application of a theoretical databank of aspherical atoms and a symmetry-adapted perturbation theory-based set of interatomic potentials.

Xue Li1, Anatoliy V Volkov, Krzysztof Szalewicz, Philip Coppens.   

Abstract

Intermolecular interaction energies between fragments of glycopeptide antibiotics and small peptide ligands are evaluated using geometries determined by X-ray crystallography and recently developed methods suitable for application to very large molecular complexes. The calculation of the electrostatic contributions is based on charge densities constructed with a databank of transferable aspherical atoms described by nucleus-centered spherical harmonic density functions, and uses the accurate and fast EPMM method. Dispersion, induction and exchange-repulsion contributions are evaluated with atom-atom potentials fitted to intermolecular energies from SAPT (symmetry-adapted perturbation theory) calculations on a large number of molecules. For a number of the complexes, first-principle calculations using density functional theory have been performed for comparison. Results of the new methods agree within reasonable bounds with those from DFT calculations, while being obtained at a fraction (less than 1%) of the computer time. A strong dependence on the geometry of the interaction is found, even when the number of hydrogen bonds between the substrate and antibiotic fragment is the same. While high-resolution X-ray data are required to obtain interaction energies at a quantitative level, the techniques developed have potential for joint X-ray/energy refinement of macromolecular structures.

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Year:  2006        PMID: 16699191     DOI: 10.1107/S0907444906013072

Source DB:  PubMed          Journal:  Acta Crystallogr D Biol Crystallogr        ISSN: 0907-4449


  4 in total

1.  Electrostatic interactions in aminoglycoside-RNA complexes.

Authors:  Marta Kulik; Anna M Goral; Maciej Jasiński; Paulina M Dominiak; Joanna Trylska
Journal:  Biophys J       Date:  2015-02-03       Impact factor: 4.033

2.  Combining crystallographic information and an aspherical-atom data bank in the evaluation of the electrostatic interaction energy in an enzyme-substrate complex: influenza neuraminidase inhibition.

Authors:  Paulina M Dominiak; Anatoliy Volkov; Adam P Dominiak; Katarzyna N Jarzembska; Philip Coppens
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-04-18

3.  Multipolar Atom Types from Theory and Statistical Clustering (MATTS) Data Bank: Impact of Surrounding Atoms on Electron Density from Cluster Analysis.

Authors:  Paulina Maria Rybicka; Marta Kulik; Michał Leszek Chodkiewicz; Paulina Maria Dominiak
Journal:  J Chem Inf Model       Date:  2022-08-09       Impact factor: 6.162

4.  A Comparative Study of Transferable Aspherical Pseudoatom Databank and Classical Force Fields for Predicting Electrostatic Interactions in Molecular Dimers.

Authors:  Prashant Kumar; Sławomir A Bojarowski; Katarzyna N Jarzembska; Sławomir Domagała; Kenno Vanommeslaeghe; Alexander D Mackerell; Paulina M Dominiak
Journal:  J Chem Theory Comput       Date:  2014-02-21       Impact factor: 6.006

  4 in total

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