4.2 Article

Computational investigation of mechanistic insights of Aβ42 interactions against extracellular domain of nAChRα7 in Alzheimer's disease

Journal

INTERNATIONAL JOURNAL OF NEUROSCIENCE
Volume 129, Issue 7, Pages 666-680

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207454.2018.1543670

Keywords

Alzheimer's disease; computational modelling; molecular docking; dynamic simulation; A beta 42; nAChR alpha 7

Categories

Funding

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2017R1D1A1B03034948]
  2. National Research Foundation of Korea [2017R1D1A1B03034948] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Aim: Amyloid beta (A beta) 1-42, which is a basic constituent of amyloid plaques, binds with extracellular transmembrane receptor nicotine acetylcholine receptor alpha 7 (nAChR alpha 7) in Alzheimer's disease. Materials and Methods: In the current study, a computational approach was employed to explore the active binding sites of nAChR alpha 7 through A beta 1-42 interactions and their involvement in the activation of downstream signalling pathways. Sequential and structural analyses were performed on the extracellular part of nAChR alpha 7 to identify its core active binding site. Results: Results showed that a conserved residual pattern and well superimposed structures were observed in all nAChRs proteins. Molecular docking servers were used to predict the common interactive residues in nAChR alpha 7 and A beta 1-42 proteins. The docking profile results showed some common interactive residues such as Glu22, Ala42 and Trp171 may consider as the active key player in the activation of downstream signalling pathways. Moreover, the signal communication and receiving efficacy of best-docked complexes was checked through DynOmic online server. Furthermore, the results from molecular dynamic simulation experiment showed the stability of nAChR alpha 7. The generated root mean square deviations and fluctuations (RMSD/F), solvent accessible surface area (SASA) and radius of gyration (Rg) graphs of nAChR alpha 7 also showed its backbone stability and compactness, respectively. Conclusion: Taken together, our predicted results intimated the structural insight on the molecular interactions of beta amyloid protein involved in the activation of nAChR alpha 7 receptor. In future, a better understanding of nAChR alpha 7 and their interconnected proteins signalling cascade may be consider as target to cure Alzheimer's disease.

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