Literature DB >> 26615702

Ligand Affinities Estimated by Quantum Chemical Calculations.

Pär Söderhjelm1, Jacob Kongsted1, Ulf Ryde1.   

Abstract

We present quantum chemical estimates of ligand-binding affinities performed, for the first time, at a level of theory for which there is a hope that dispersion and polarization effects are properly accounted for (MP2/cc-pVTZ) and at the same time effects of solvation, entropy, and sampling are included. We have studied the binding of seven biotin analogues to the avidin tetramer. The calculations have been performed by the recently developed PMISP approach (polarizable multipole interactions with supermolecular pairs), which treats electrostatic interactions by multipoles up to quadrupoles, induction by anisotropic polarizabilities, and nonclassical interactions (dispersion, exchange repulsion, etc.) by explicit quantum chemical calculations, using a fragmentation approach, except for long-range interactions that are treated by standard molecular-mechanics Lennard-Jones terms. In order to include effects of sampling, 10 snapshots from a molecular dynamics simulation are studied for each biotin analogue. Solvation energies are estimated by the polarized continuum model (PCM), coupled to the multipole-polarizability model. Entropy effects are estimated from vibrational frequencies, calculated at the molecular mechanics level. We encounter several problems, not previously discussed, illustrating that we are first to apply such a method. For example, the PCM model is, in the present implementation, questionable for large molecules, owing to the use of a surface definition that gives numerous small cavities in a protein.

Entities:  

Year:  2010        PMID: 26615702     DOI: 10.1021/ct9006986

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  14 in total

1.  Binding affinities in the SAMPL3 trypsin and host-guest blind tests estimated with the MM/PBSA and LIE methods.

Authors:  Paulius Mikulskis; Samuel Genheden; Patrik Rydberg; Lars Sandberg; Lars Olsen; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2011-12-25       Impact factor: 3.686

2.  Molecular simulation methods in drug discovery: a prospective outlook.

Authors:  Xavier Barril; F Javier Luque
Journal:  J Comput Aided Mol Des       Date:  2011-12-08       Impact factor: 3.686

Review 3.  Induced fit docking, and the use of QM/MM methods in docking.

Authors:  Mengang Xu; Markus A Lill
Journal:  Drug Discov Today Technol       Date:  2013-09

4.  Quantum mechanics study of the hydroxyethylamines-BACE-1 active site interaction energies.

Authors:  Carlos Gueto-Tettay; Juan Carlos Drosos; Ricardo Vivas-Reyes
Journal:  J Comput Aided Mol Des       Date:  2011-06-21       Impact factor: 3.686

5.  Predicting the relative binding affinity of mineralocorticoid receptor antagonists by density functional methods.

Authors:  Katarina Roos; Anders Hogner; Derek Ogg; Martin J Packer; Eva Hansson; Kenneth L Granberg; Emma Evertsson; Anneli Nordqvist
Journal:  J Comput Aided Mol Des       Date:  2015-11-16       Impact factor: 3.686

6.  Prediction of cyclin-dependent kinase 2 inhibitor potency using the fragment molecular orbital method.

Authors:  Michael P Mazanetz; Osamu Ichihara; Richard J Law; Mark Whittaker
Journal:  J Cheminform       Date:  2011-01-10       Impact factor: 5.514

Review 7.  The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities.

Authors:  Samuel Genheden; Ulf Ryde
Journal:  Expert Opin Drug Discov       Date:  2015-04-02       Impact factor: 6.098

8.  Mapping enzymatic catalysis using the effective fragment molecular orbital method: towards all ab initio biochemistry.

Authors:  Casper Steinmann; Dmitri G Fedorov; Jan H Jensen
Journal:  PLoS One       Date:  2013-04-12       Impact factor: 3.240

9.  Hybrid RHF/MP2 geometry optimizations with the effective fragment molecular orbital method.

Authors:  Anders S Christensen; Casper Steinmann; Dmitri G Fedorov; Jan H Jensen
Journal:  PLoS One       Date:  2014-02-18       Impact factor: 3.240

Review 10.  Recent Progress in Treating Protein-Ligand Interactions with Quantum-Mechanical Methods.

Authors:  Nusret Duygu Yilmazer; Martin Korth
Journal:  Int J Mol Sci       Date:  2016-05-16       Impact factor: 5.923

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