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Analysis of protein missense alterations by combining sequence- and structure-based methods.

Aram GyulkhandanyanAlireza R RezaieLubka RoumeninaNathalie LagardeVeronique Fremeaux-BacchiMaria A MitevaBruno O Villoutreix
Published in: Molecular genetics & genomic medicine (2020)
Combining different computational approaches including some that were not developed to investigate missense variants help to predict the possible impact of the amino acid substitutions. Yet, when the modified residues are involved in a salt-bridge, the tools tend to fail, even when the analysis is performed in 3D. Thus, interactive structural analysis with molecular graphics packages such as Chimera or PyMol or others are still needed to clarify automatic prediction.
Keyphrases
  • amino acid
  • intellectual disability
  • deep learning
  • copy number
  • machine learning
  • protein protein
  • gene expression
  • binding protein
  • dna methylation
  • neural network
  • genome wide