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VeloPro: A pipeline integrating Ribo-seq and AlphaFold deciphers association patterns between translation velocity and protein structure features.

Bian BianToshitaka KumagaiYutaka Saito
Published in: iMeta (2023)
VeloPro integrates Ribo-seq data and AlphaFold2-predicted 3D protein structure information for characterization of the association patterns between translation velocity and many protein structure features in prokaryotic and eukaryotic organisms across different taxonomical clades such as bacteria, fungi, protozoa, nematode, plants, insect, and mammals. We illustrated that association patterns between translation velocity and protein structure features differ across organisms, partially reflecting their taxonomical relationship.
Keyphrases
  • protein protein
  • blood flow
  • binding protein
  • single cell
  • rna seq
  • healthcare
  • small molecule
  • electronic health record
  • gram negative
  • artificial intelligence
  • big data
  • deep learning
  • aedes aegypti