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d-StructMAn: Containerized structural annotation on the scale from genetic variants to whole proteomes.

Alexander GressSanjay K SrikakulamSebastian KellerVasily E RamenskyOlga V Kalinina
Published in: GigaScience (2022)
d-StructMAn is the first of its kind and a highly efficient tool for structural annotation of protein-coding genetic variation in the context of observed and potential intermolecular interactions. d-StructMAn is readily applicable to proteome-scale datasets and can be an instrumental building machine-learning tool for predicting genotype-to-phenotype relationships.
Keyphrases
  • highly efficient
  • machine learning
  • rna seq
  • single cell
  • artificial intelligence
  • binding protein
  • deep learning
  • quantum dots