A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis

The most detrimental missense mutations of angiogenin causing Amyotrophic lateral sclerosis were identified computationally and the substrate binding efficiencies of these mutations were also analyzed. Out of 12 variants, I-Mutant 2.0, SIFT and PolyPhen programs identified 3 variants that were less...

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Main Authors: K. Sreevishnupriya, Ramalingar Rajasekaran
Format: Article
Language:English
Published: Bangladesh Pharmacological Society 2013-11-01
Series:Bangladesh Journal of Pharmacology
Subjects:
Online Access:https://www.banglajol.info/index.php/BJP/article/view/15259
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author K. Sreevishnupriya
Ramalingar Rajasekaran
author_facet K. Sreevishnupriya
Ramalingar Rajasekaran
author_sort K. Sreevishnupriya
collection DOAJ
description The most detrimental missense mutations of angiogenin causing Amyotrophic lateral sclerosis were identified computationally and the substrate binding efficiencies of these mutations were also analyzed. Out of 12 variants, I-Mutant 2.0, SIFT and PolyPhen programs identified 3 variants that were less stable, deleterious and damaging respectively. Modeling of these 3 variants was performed to understand the change in their conformations with respect to the native angiogenin by computing their RMSD and Total energy. The native and the 3 mutants were docked with ribonuclease inhibitor to explain the binding efficiencies of those detrimental missense mutations. The loss of binding affinity with their interacting protein namely ribonuclease inhibitor was investigated by computing the flexibility of binding amino acids of angiogenin and computing the binding free energy (ΔG) between native and mutant complexes.
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spelling doaj.art-a4d4a870f2be424fb701bceedf6ff48b2022-12-21T19:07:39ZengBangladesh Pharmacological SocietyBangladesh Journal of Pharmacology1991-00882013-11-018410.3329/bjp.v8i4.15259A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosisK. Sreevishnupriya0Ramalingar Rajasekaran1Bioinformatics Division, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil NaduBioinformatics Division, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil NaduThe most detrimental missense mutations of angiogenin causing Amyotrophic lateral sclerosis were identified computationally and the substrate binding efficiencies of these mutations were also analyzed. Out of 12 variants, I-Mutant 2.0, SIFT and PolyPhen programs identified 3 variants that were less stable, deleterious and damaging respectively. Modeling of these 3 variants was performed to understand the change in their conformations with respect to the native angiogenin by computing their RMSD and Total energy. The native and the 3 mutants were docked with ribonuclease inhibitor to explain the binding efficiencies of those detrimental missense mutations. The loss of binding affinity with their interacting protein namely ribonuclease inhibitor was investigated by computing the flexibility of binding amino acids of angiogenin and computing the binding free energy (ΔG) between native and mutant complexes.https://www.banglajol.info/index.php/BJP/article/view/15259Amyotrophic lateral sclerosisAngiogeninFlexibilityFree energyMissense mutationProtein docking
spellingShingle K. Sreevishnupriya
Ramalingar Rajasekaran
A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis
Bangladesh Journal of Pharmacology
Amyotrophic lateral sclerosis
Angiogenin
Flexibility
Free energy
Missense mutation
Protein docking
title A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis
title_full A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis
title_fullStr A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis
title_full_unstemmed A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis
title_short A computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis
title_sort computational approach to analyze the missense mutations in human angiogenin variants leading to amyotrophic lateral sclerosis
topic Amyotrophic lateral sclerosis
Angiogenin
Flexibility
Free energy
Missense mutation
Protein docking
url https://www.banglajol.info/index.php/BJP/article/view/15259
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