Literature DB >> 35352175

Design of novel benzimidazole derivatives as potential α-amylase inhibitors using QSAR, pharmacokinetics, molecular docking, and molecular dynamics simulation studies.

Oussama Abchir1, Ossama Daoui2, Salah Belaidi3, Mebarka Ouassaf3, Faizan Abul Qais4, Souad ElKhattabi2, Said Belaaouad1, Samir Chtita5.   

Abstract

In the present study, a quantitative relationship between the biological inhibitory activity of alpha-amylase and molecular structures of novel benzimidazole derivatives is analyzed in silico. The best QSAR model screened via MLR technique indicated that the exact mass, topological diameter and numerical rotational bonding structural properties of benzimidazole derivatives highly affect the bioactivity of these compounds against α-amylase. Based on the structural properties identified via linear QSAR model favorable for improving pIC50 of benzimidazole derivatives, fourteen new molecules bearing benzimidazole radicals were designed and their biological inhibitory activity against α-amylase was improved. QSAR model predictions showed that the designed molecules exhibited a higher potential biological level activity IC50 than acarbose used in positive control (IC50= 1.46 μM). Screening of drug-like properties, pharmacokinetics and toxicity of the proposed molecules led to select three molecules as candidates for use as drug aid to ingest starch and glycogen. As a result, using molecular docking simulations, the docking poses of the three molecules inside the α-amylase receptor pocket (PDB code: 1HNY) were predicted. Also, the most important potential interactions between the active amino acid sites in α-amylase protein pocket and the proposed drug molecules were described. The obtained hypotheses regarding the stability of the proposed molecules inside α-amylase pocket were validated by carrying out molecular dynamic simulations in aqueous background similar to the ones of proteins. The DM results confirmed the optimal stability of the α-amylase backbone with the drug molecules proposed in this computational investigation.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  ADMET; Alpha-amylase; Benzimidazole; Molecular docking; Molecular dynamics; QSAR

Mesh:

Substances:

Year:  2022        PMID: 35352175     DOI: 10.1007/s00894-022-05097-9

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  2 in total

1.  AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

Authors:  Oleg Trott; Arthur J Olson
Journal:  J Comput Chem       Date:  2010-01-30       Impact factor: 3.376

2.  Combined docking methods and molecular dynamics to identify effective antiviral 2, 5-diaminobenzophenonederivatives against SARS-CoV-2.

Authors:  Mebarka Ouassaf; Salah Belaidi; Muneerah Mogren Al Mogren; Samir Chtita; Shafi Ullah Khan; Thet Thet Htar
Journal:  J King Saud Univ Sci       Date:  2021-02-04
  2 in total
  2 in total

1.  Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CLpro enzyme for COVID-19 therapy: a computer-aided drug design approach.

Authors:  Ossama Daoui; Souad Elkhattabi; Samir Chtita
Journal:  Struct Chem       Date:  2022-07-07       Impact factor: 1.795

2.  Discovery of Phenylcarbamoylazinane-1,2,4-Triazole Amides Derivatives as the Potential Inhibitors of Aldo-Keto Reductases (AKR1B1 & AKRB10): Potential Lead Molecules for Treatment of Colon Cancer.

Authors:  Amna Saeed; Syeda Abida Ejaz; Muhammad Sarfraz; Nissren Tamam; Farhan Siddique; Naheed Riaz; Faizan Abul Qais; Samir Chtita; Jamshed Iqbal
Journal:  Molecules       Date:  2022-06-21       Impact factor: 4.927

  2 in total

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