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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2020-01-01
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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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institution | Kabale University |
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language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
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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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