Literature DB >> 30582418

Structural insights into ligand-binding pocket formation in Nurr1 by molecular dynamics simulations.

Björn Windshügel1.   

Abstract

The nuclear receptor Nurr1 (NR4A2) has been identified as a potential target for the treatment of Parkinson's disease. In contrast to most other nuclear receptors, the X-ray crystal structure of the Nurr1 ligand-binding domain (LBD) lacks any ligand-binding pocket (LBP). However, NMR spectroscopy measurements have revealed that the known Nurr1 agonist docosahexaenoic acid (DHA) binds to a region within the LBD that corresponds to the classical NR ligand-binding pocket (LBP). In order to investigate the structural dynamics of the Nurr1 LBD and to study potential LBP formation, the conformational space of the receptor was sampled using a molecular dynamics (MD) simulation. Docking of DHA into 50,000 LBD structures extracted from the simulation revealed the existence of a transient LBP that is capable to fully harbor the compound. The location of the identified pocket overlaps with the ligand-binding site suggested by NMR experiments. Structural analysis of the protein-ligand complex showed that only modest structural rearrangements within the Nurr1 LBD are required for LBP formation. These findings may support structure-based drug discovery campaigns for the development of receptor-specific agonists.

Entities:  

Keywords:  MD simulation; Nurr1; agonist; docosahexaenoic acid; ligand-binding domain; ligand-binding pocket; molecular docking; nuclear receptor

Year:  2019        PMID: 30582418     DOI: 10.1080/07391102.2018.1559099

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  2 in total

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Authors:  Dongyun Zhang; Anthony P Heaney
Journal:  Cells       Date:  2020-04-07       Impact factor: 6.600

Review 2.  Mechanisms of Action for Small Molecules Revealed by Structural Biology in Drug Discovery.

Authors:  Qingxin Li; CongBao Kang
Journal:  Int J Mol Sci       Date:  2020-07-24       Impact factor: 5.923

  2 in total

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