Molecular dynamics and protein frustration analysis of human fused in Sarcoma protein variants in Amyotrophic Lateral Sclerosis type 6: An In Silico approach.

Autor: Bonet LFS; Department of Genetics and Molecular Biology, Laboratory of Bioinformatics and Computational Biology, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil., Loureiro JP; Department of Genetics and Molecular Biology, Laboratory of Bioinformatics and Computational Biology, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil., Pereira GRC; Department of Genetics and Molecular Biology, Laboratory of Bioinformatics and Computational Biology, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil., Da Silva ANR; Department of Genetics and Molecular Biology, Laboratory of Bioinformatics and Computational Biology, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil., De Mesquita JF; Department of Genetics and Molecular Biology, Laboratory of Bioinformatics and Computational Biology, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2021 Sep 29; Vol. 16 (9), pp. e0258061. Date of Electronic Publication: 2021 Sep 29 (Print Publication: 2021).
DOI: 10.1371/journal.pone.0258061
Abstrakt: Amyotrophic lateral sclerosis (ALS) is the most frequent adult-onset motor neuron disorder. The disease is characterized by degeneration of upper and lower motor neurons, leading to death usually within five years after the onset of symptoms. While most cases are sporadic, 5%-10% of cases can be associated with familial inheritance, including ALS type 6, which is associated with mutations in the Fused in Sarcoma (FUS) gene. This work aimed to evaluate how the most frequent ALS-related mutations in FUS, R521C, R521H, and P525L affect the protein structure and function. We used prediction algorithms to analyze the effects of the non-synonymous single nucleotide polymorphisms and performed evolutionary conservation analysis, protein frustration analysis, and molecular dynamics simulations. Most of the prediction algorithms classified the three mutations as deleterious. All three mutations were predicted to reduce protein stability, especially the mutation R521C, which was also predicted to increase chaperone binding tendency. The protein frustration analysis showed an increase in frustration in the interactions involving the mutated residue 521C. Evolutionary conservation analysis showed that residues 521 and 525 of human FUS are highly conserved sites. The molecular dynamics results indicate that protein stability could be compromised in all three mutations. They also affected the exposed surface area and protein compactness. The analyzed mutations also displayed high flexibility in most residues in all variants, most notably in the interaction site with the nuclear import protein of FUS.
Competing Interests: The authors have read the journal’s policy and the authors of this manuscript have the following competing interests: LFSB received material support from NVIDIA for this study. This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no patents, products in development or marketed products associated with this research to declare.
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje