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Accuracy of a machine learning method based on structural and locational information from AlphaFold2 for predicting the pathogenicity of TARDBP and FUS gene variants in ALS.

Yuya HatanoTomohiko IshiharaOsamu Onodera
Published in: BMC bioinformatics (2023)
MOVA is useful for predicting the virulence of rare variants in which they are concentrated at specific structural sites, and for use in combination with other prediction methods.
Keyphrases
  • copy number
  • machine learning
  • biofilm formation
  • pseudomonas aeruginosa
  • escherichia coli
  • genome wide
  • staphylococcus aureus
  • health information
  • healthcare
  • dna methylation
  • transcription factor
  • candida albicans