Literature DB >> 31022570

Characterising GPCR-ligand interactions using a fragment molecular orbital-based approach.

Alexander Heifetz1, Tim James2, Michelle Southey2, Inaki Morao2, Matteo Aldeghi3, Laurie Sarrat4, Dmitri G Fedorov5, Mike J Bodkin2, Andrea Townsend-Nicholson6.   

Abstract

There has been fantastic progress in solving GPCR crystal structures. However, the ability of X-ray crystallography to guide the drug discovery process for GPCR targets is limited by the availability of accurate tools to explore receptor-ligand interactions. Visual inspection and molecular mechanics approaches cannot explain the full complexity of molecular interactions. Quantum mechanical approaches (QM) are often too computationally expensive, but the fragment molecular orbital (FMO) method offers an excellent solution that combines accuracy, speed and the ability to reveal key interactions that would otherwise be hard to detect. Integration of GPCR crystallography or homology modelling with FMO reveals atomistic details of the individual contributions of each residue and water molecule towards ligand binding, including an analysis of their chemical nature.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31022570     DOI: 10.1016/j.sbi.2019.03.021

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  3 in total

Review 1.  Trends in application of advancing computational approaches in GPCR ligand discovery.

Authors:  Siyu Zhu; Meixian Wu; Ziwei Huang; Jing An
Journal:  Exp Biol Med (Maywood)       Date:  2021-02-27

Review 2.  Multiscale Molecular Modeling in G Protein-Coupled Receptor (GPCR)-Ligand Studies.

Authors:  Pratanphorn Nakliang; Raudah Lazim; Hyerim Chang; Sun Choi
Journal:  Biomolecules       Date:  2020-04-19

3.  Characterizing Interhelical Interactions of G-Protein Coupled Receptors with the Fragment Molecular Orbital Method.

Authors:  Alexander Heifetz; Inaki Morao; M Madan Babu; Tim James; Michelle W Y Southey; Dmitri G Fedorov; Matteo Aldeghi; Michael J Bodkin; Andrea Townsend-Nicholson
Journal:  J Chem Theory Comput       Date:  2020-03-09       Impact factor: 6.006

  3 in total

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