Literature DB >> 23705769

X-ray crystallographic structures as a source of ligand alignment in 3D-QSAR.

Rafał D Urniaż1, Krzysztof Jóźwiak.   

Abstract

Three-dimensional quantitative structure-activity relationships (3D-QSAR) analyses are methods correlating a pharmacological property with a mathematical representation of a molecular property distribution around three-dimensional molecular models for a set of congeners. 3D-QSAR methods are known to be highly sensitive to ligand conformation and alignment method. The current study collects 32 unique positions of congeneric ligands co-crystallized with the binding domain of AMPA receptors and aligns them using protein coordinates. Thus, it allows for a unique opportunity to consider a ligands' orientation aligned by their mode of binding in a native molecular target. Comparative molecular field analysis (CoMFA) models were generated for this alignment and compared with the results of analogous modeling using standard structure-based alignment or obtained in docking simulations of the ligands' molecules. In comparison with classically derived models, the model based on X-ray crystallographic studies showed much better performance and statistical significance. Although the 3D-QSAR methods are mainly employed when crystallographic information is limited, the current study underscores the importance that the selection of inappropriate molecular conformations and alignment methods can lead to generation of erroneous models and false conclusions.

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Year:  2013        PMID: 23705769     DOI: 10.1021/ci400004e

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


  7 in total

1.  BCL::MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping.

Authors:  Benjamin P Brown; Jeffrey Mendenhall; Jens Meiler
Journal:  J Chem Inf Model       Date:  2019-02-12       Impact factor: 4.956

2.  Comparative molecular field analysis and molecular dynamics studies of α/β hydrolase domain containing 6 (ABHD6) inhibitors.

Authors:  Agnieszka A Kaczor; Katarzyna M Targowska-Duda; Jayendra Z Patel; Tuomo Laitinen; Teija Parkkari; Yahaya Adams; Tapio J Nevalainen; Antti Poso
Journal:  J Mol Model       Date:  2015-09-08       Impact factor: 1.810

3.  Comparative molecular field analysis and molecular dynamics studies of the dopamine D2 receptor antagonists without a protonatable nitrogen atom.

Authors:  Agnieszka A Kaczor; Justyna Żuk; Dariusz Matosiuk
Journal:  Med Chem Res       Date:  2018-02-13       Impact factor: 1.965

4.  Molecular Modeling and Design Studies of Purine Derivatives as Novel CDK2 Inhibitors.

Authors:  Gaomin Zhang; Yujie Ren
Journal:  Molecules       Date:  2018-11-09       Impact factor: 4.411

5.  Docking-Based 3D-QSAR Studies for 1,3,4-oxadiazol-2-one Derivatives as FAAH Inhibitors.

Authors:  Agata Zięba; Tuomo Laitinen; Jayendra Z Patel; Antti Poso; Agnieszka A Kaczor
Journal:  Int J Mol Sci       Date:  2021-06-06       Impact factor: 5.923

6.  Alignment-independent technique for 3D QSAR analysis.

Authors:  Jon G Wilkes; Iva B Stoyanova-Slavova; Dan A Buzatu
Journal:  J Comput Aided Mol Des       Date:  2016-03-30       Impact factor: 3.686

7.  The Universal 3D QSAR Model for Dopamine D2 Receptor Antagonists.

Authors:  Agata Zięba; Justyna Żuk; Damian Bartuzi; Dariusz Matosiuk; Antti Poso; Agnieszka A Kaczor
Journal:  Int J Mol Sci       Date:  2019-09-14       Impact factor: 5.923

  7 in total

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