Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A

Background. Hereditary spastic paraplegia type 3A (SPG3A) is a neurodegenerative disease inherited type of Hereditary spastic paraplegia (HSP). It is the second most frequent type of HSP which is characterized by progressive bilateral and mostly symmetric spasticity and weakness of the legs. SPG3A g...

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Main Authors: Mujahed I. Mustafa, Naseem S. Murshed, Abdelrahman H. Abdelmoneim, Miyssa I. Abdelmageed, Nafisa M. Elfadol, Abdelrafie M. Makhawi
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Scientifica
Online Access:http://dx.doi.org/10.1155/2020/8329286
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author Mujahed I. Mustafa
Naseem S. Murshed
Abdelrahman H. Abdelmoneim
Miyssa I. Abdelmageed
Nafisa M. Elfadol
Abdelrafie M. Makhawi
author_facet Mujahed I. Mustafa
Naseem S. Murshed
Abdelrahman H. Abdelmoneim
Miyssa I. Abdelmageed
Nafisa M. Elfadol
Abdelrafie M. Makhawi
author_sort Mujahed I. Mustafa
collection DOAJ
description Background. Hereditary spastic paraplegia type 3A (SPG3A) is a neurodegenerative disease inherited type of Hereditary spastic paraplegia (HSP). It is the second most frequent type of HSP which is characterized by progressive bilateral and mostly symmetric spasticity and weakness of the legs. SPG3A gene mutations and the phenotype-genotype correlations have not yet been recognized. The aim of this work was to categorize the most damaging SNPs in ATL1 gene and to predict their impact on the functional and structural levels by several computational analysis tools. Methods. The raw data of ATL1 gene were retrieved from dbSNP database and then run into numerous computational analysis tools. Additionally; we submitted the common six deleterious outcomes from the previous functional analysis tools to I-mutant 3.0 and MUPro, respectively, to investigate their effect on the structural level. The 3D structure of ATL1 was predicted by RaptorX and modeled using UCSF Chimera to compare the differences between the native and the mutant amino acids. Results. Five nsSNPs out of 249 were classified as the most deleterious (rs746927118, rs979765709, rs119476049, rs864622269, and rs1242753115). Conclusions. In this study, the impact of nsSNPs in the ATL1 gene was investigated by various in silico tools that revealed five nsSNPs (V67F, T120I, R217Q, R495W, and G504E) are deleterious SNPs, which have a functional impact on ATL1 protein and, therefore, can be used as genomic biomarkers specifically before 4 years of age; also, it may play a key role in pharmacogenomics by evaluating drug response for this disabling disease.
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spelling doaj-art-b3638451938b4e9a9f4ef118cee997c12025-02-03T06:46:08ZengWileyScientifica2090-908X2020-01-01202010.1155/2020/83292868329286Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3AMujahed I. Mustafa0Naseem S. Murshed1Abdelrahman H. Abdelmoneim2Miyssa I. Abdelmageed3Nafisa M. Elfadol4Abdelrafie M. Makhawi5Department of Biotechnology, University of Bahri, Khartoum, SudanDepartment of Microbiology, International University of Africa, Khartoum, SudanFaculty of Medicine, Alneelain University, Khartoum, SudanDepartment of Pharmacy, University of Khartoum, Khartoum, SudanDepartment of Microbiology, National Ribat University, Khartoum, SudanDepartment of Biotechnology, University of Bahri, Khartoum, SudanBackground. Hereditary spastic paraplegia type 3A (SPG3A) is a neurodegenerative disease inherited type of Hereditary spastic paraplegia (HSP). It is the second most frequent type of HSP which is characterized by progressive bilateral and mostly symmetric spasticity and weakness of the legs. SPG3A gene mutations and the phenotype-genotype correlations have not yet been recognized. The aim of this work was to categorize the most damaging SNPs in ATL1 gene and to predict their impact on the functional and structural levels by several computational analysis tools. Methods. The raw data of ATL1 gene were retrieved from dbSNP database and then run into numerous computational analysis tools. Additionally; we submitted the common six deleterious outcomes from the previous functional analysis tools to I-mutant 3.0 and MUPro, respectively, to investigate their effect on the structural level. The 3D structure of ATL1 was predicted by RaptorX and modeled using UCSF Chimera to compare the differences between the native and the mutant amino acids. Results. Five nsSNPs out of 249 were classified as the most deleterious (rs746927118, rs979765709, rs119476049, rs864622269, and rs1242753115). Conclusions. In this study, the impact of nsSNPs in the ATL1 gene was investigated by various in silico tools that revealed five nsSNPs (V67F, T120I, R217Q, R495W, and G504E) are deleterious SNPs, which have a functional impact on ATL1 protein and, therefore, can be used as genomic biomarkers specifically before 4 years of age; also, it may play a key role in pharmacogenomics by evaluating drug response for this disabling disease.http://dx.doi.org/10.1155/2020/8329286
spellingShingle Mujahed I. Mustafa
Naseem S. Murshed
Abdelrahman H. Abdelmoneim
Miyssa I. Abdelmageed
Nafisa M. Elfadol
Abdelrafie M. Makhawi
Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A
Scientifica
title Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A
title_full Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A
title_fullStr Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A
title_full_unstemmed Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A
title_short Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A
title_sort extensive in silico analysis of atl1 gene discovered five mutations that may cause hereditary spastic paraplegia type 3a
url http://dx.doi.org/10.1155/2020/8329286
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