Literature DB >> 32048568

Understanding structure-based dynamic interactions of antihypertensive peptides extracted from food sources.

Gazal Kalyan1, Vivek Junghare1, Sourya Bhattacharya1, Saugata Hazra1,2.   

Abstract

Functional foods are emerging as essential healthy nutritional component due to their abundant wellbeing benefits. Especially the food-derived peptides are considered as key components for playing their biologically active roles. One such robust therapeutics that already exploited with food peptides that help treating high blood pressure via targeting Angiotensin-Converting Enzyme (ACE). This in silico study demonstrated the inhibitory potential of antihypertensive peptides derived from food sources. This study involves an intensive structure-based analysis of enzyme-peptide interactions using Molecular Dynamics (MD) simulations. Interestingly, this study will help us to get deeper understanding on how food peptides achieve successful inhibition of ACE. In this study, the peptide-enzyme complexes revealed two binding pockets, A and B, on either side of the active site Zn atom. Pocket B has a smaller binding site volume than pocket A, comprised of β-sheets and the active site opening cleft. The interface of the binding sites showed that the enzyme structure was negative to neutral charge, and the peptide structure was positive to neutral charge. The dynamics of complex structures of seven highly potential peptides were performed for 20 ns each at 300 K. Comparative analysis of RMSD, RMSF and binding energies show the enzyme-peptide complexes and the overall stability of apo-enzyme. Importantly, two peptides AFKAWAVAR and IWHHTF showed the highest variation in their RMSD as compared to the apo-enzyme. This study will further be useful for the assessment of the characteristics to predict novel inhibitory peptides that can be generated from food proteins.Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  ACE; MD simulation; biopeptides; enzyme inhibition; modeling; molecular docking

Mesh:

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Year:  2020        PMID: 32048568     DOI: 10.1080/07391102.2020.1715836

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


  2 in total

1.  Hypertension: Constraining the Expression of ACE-II by Adopting Optimal Macronutrients Diet Predicted via Support Vector Machine.

Authors:  Mohammad Farhan Khan; Gazal Kalyan; Sohom Chakrabarty; M Mursaleen
Journal:  Nutrients       Date:  2022-07-07       Impact factor: 6.706

2.  Synthesis of Dihydrobenzofuro[3,2-b]chromenes as Potential 3CLpro Inhibitors of SARS-CoV-2: A Molecular Docking and Molecular Dynamics Study.

Authors:  Sudip Gorai; Vivek Junghare; Kshama Kundu; Sowmomita Gharui; Mukesh Kumar; Birija Sankar Patro; Sandip K Nayak; Saugata Hazra; Soumyaditya Mula
Journal:  ChemMedChem       Date:  2022-02-17       Impact factor: 3.540

  2 in total

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