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Computational screening of damaging nsSNPs in human SOD1 genes associated with amyotrophic lateral sclerosis identifies destabilising effects of G38R and G42D mutations through in silico evaluation

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Abstract

Amyotrophic lateral sclerosis (ALS), a complicated neurodegenerative disorder affected by hereditary and environmental variables, is a condition. In this study, the genetic makeup of ALS is investigated, with a focus on the SOD1 gene’s single-nucleotide polymorphisms (SNPs) and their ability to affect disease risk. Eleven high-risk missense variations that may impair the functionality of the SOD1 protein were discovered after a thorough examination of SNPs in the SOD1 gene. These mutations were chosen using a variety of prediction approaches, highlighting their importance in the aetiology of ALS. Notably, it was discovered that the stability of the SOD1 wild-type protein structure was compromised by the G38R and G42D SOD1 variants. Additionally, Edaravone, a possible ALS medication, showed a greater affinity for binding mutant SOD1 structures, pointing to potential personalised treatment possibilities. The high-risk SNPs discovered in this investigation seem to have functional effects, especially on the stability of proteins and their interactions with other molecules. This study clarifies the complex genetics of ALS and offers insights into how these genetic variations may affect the effectiveness of therapeutic interventions, particularly in the context of edaravone. In this study advances our knowledge of the genetic mechanisms causing ALS vulnerability and prospective therapeutic strategies. Future studies are necessary to confirm these results and close the gap between individualised clinical applications and improved ALS care.

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All data generated or analysed during this study are included in this published article.

Abbreviations

ALS:

Amyotrophic lateral sclerosis

ASA:

Accessible surface area

cSNP:

Coding single nucleotide polymorphism

GWAS:

Genome-wide association studies

NGS:

Next generation sequencing

nsSNPs:

Non-synonymous single nucleotide polymorphism

nsSNVs:

Non-synonymous/missense single nucleotide variations

PDB:

Protein data bank

PSEC:

Position specific evolutionary conservation

QMEAN:

Qualitative model energy analysis

RSA:

Relative surface accessibility

SA:

Surface area

SAAFEC-SEQ:

Sequence-based stabilisation analysis of amino acid change

SIFT:

Sorting intolerant from tolerant

SNAP:

Screening for non-acceptable polymorphism

SNPs:

Single nucleotide polymorphisms

SOD1:

Superoxide dismutase 1

STRING:

Search tool for the retrieval of interacting genes/proteins

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Acknowledgements

We thank BioNome, Bangalore (www.bionome.in/) for providing insight in bioinformatics analysis and scientific article writing.

Funding

The present study is funded by the Department of Scientific Research and Education, BioNome (Funding ID: DSRE/BNM/SR/2023/A0115).

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All authors participated in the analysis, writing, reviewing, and editing of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Susha Dinesh.

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Bhor, S., Tonny, S.H., Dinesh, S. et al. Computational screening of damaging nsSNPs in human SOD1 genes associated with amyotrophic lateral sclerosis identifies destabilising effects of G38R and G42D mutations through in silico evaluation. In Silico Pharmacol. 12, 20 (2024). https://doi.org/10.1007/s40203-024-00191-7

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  • DOI: https://doi.org/10.1007/s40203-024-00191-7

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