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Predicting the effects of amino acid replacements in peptide hormones on their binding affinities for class B GPCRs and application to the design of secretin receptor antagonists.

Jerez A. TeMaoqing DongLaurence J. MillerAndrew J. Bordner
Published in: J. Comput. Aided Mol. Des. (2012)
Keyphrases
  • amino acids
  • protein sequences
  • design process
  • pairwise
  • machine learning
  • binding peptides
  • data analysis
  • building blocks
  • protein folding
  • protein structure prediction