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Structural and dynamic investigation of non-synonymous variations in Renin-AGT complex revealed altered binding via hydrogen-bonding network reprogramming to accelerate the hypertension pathway. | LitMetric

AI Article Synopsis

  • - Hypertension is a major global health issue that can lead to heart and kidney failure, with specific proteins like angiotensinogen (AGT) and renin playing key roles in its development through the renin-angiotensin-aldosterone system.
  • - This study focused on identifying harmful mutations in the renin-AGT protein complex by using computational modeling and various algorithms, leading to the discovery of 20 deleterious mutations in AGT and 5 in renin, with two particular mutations, S107L and V193F, having significant structural impacts.
  • - Results showed that these mutations not only increased binding energy between renin and AGT (making the interaction stronger) but also altered the structural

Article Abstract

Hypertension is one of the major issues worldwide and one of the main factors involved in heart and kidney failure. Angiotensinogen and renin are key components of the renin-angiotensin-aldosterone system, which plays an indispensable role in hypertension. The aim of this study was to find out the non-synonymous mutations and structure-based mutation-function correlation in the renin-AGT complex and reveal the most deleterious mutations to accelerated hypertension. In the current study, we employed computational modeling and molecular simulation approaches to demonstrate the impact of specific mutations in the REN-AGT interface in hypertension. Computational algorithms, that is, PhD-SNP, PolyPhen-1, MAPP, Sorting Intolerant from Tolerant, Screening of non-acceptable polymorphism, PredictSNP, PolyPhen-2, and Protein Analysis Through Evolutionary Relationships predicted 20 mutations as deleterious in AGT while only five mutations were confirmed as deleterious in the renin protein. Investigation of the bonding analysis revealed that two mutations S107L and V193F in renin altered the hydrogen-bonding paradigm at the interface site. Furthermore, exploration of structural-dynamic behaviors demonstrated by that these mutations also increases the structural stability to regulate the expression of disease pathway. The flexibility index of each residues and structural compactness analysis further validated the findings by portraying the difference in the dynamic behavior in contrast to the wild type. Binding energy calculations based on molecular mechanics/generalized Born surface area methods were used which further established the binding differences between the wild type, S107L, and V193F mutant variants. The total binding energy for wild type, S107L, and V193F was reported to be -27.79, -47.72, and -38.25, respectively. In conclusion, these two mutations increase the binding free energy alongside the docking score to enhance the binding between renin and AGT to overexpress this pathway in a hypertension disease condition. Patients with these mutations may be screened for potential therapeutic intervention.

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Source
http://dx.doi.org/10.1111/cbdd.14107DOI Listing

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