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Genotype-phenotype correlations
Original research
Identifying the molecular drivers of ALS-implicated missense mutations

Authors

  • Stephanie Portelli Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia SCMB, The University of Queensland, Saint Lucia Campus, Saint Lucia, Queensland, Australia Systems and Computational Biology, Bio21 Institute, The University of Melbourne, Parkville, Victoria, Australia PubMed articlesGoogle scholar articles
  • Amanda Albanaz Instituto René Rachou, FIOCRUZ, Belo Horizonte, Brazil PubMed articlesGoogle scholar articles
  • Douglas Eduardo Valente Pires Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • David Benjamin Ascher Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia SCMB, The University of Queensland, Saint Lucia Campus, Saint Lucia, Queensland, Australia Systems and Computational Biology, Bio21 Institute, The University of Melbourne, Parkville, Victoria, Australia PubMed articlesGoogle scholar articles
  1. Correspondence to Prof David Benjamin Ascher, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia; d.ascher{at}uq.edu.au; Dr Stephanie Portelli; s.portelli{at}uq.edu.au; Dr Douglas Eduardo Valente Pires; douglas.pires{at}unimelb.edu.au
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Citation

Portelli S, Albanaz A, Pires DEV, et al
Identifying the molecular drivers of ALS-implicated missense mutations
Journal of Medical Genetics 2023;60:484-490.

Publication history

  • Received June 30, 2022
  • Accepted September 1, 2022
  • First published September 30, 2022.
Online issue publication 
May 11, 2023

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© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.