Articles | Volume 4, issue 1
Research article
24 Feb 2023
Research article |  | 24 Feb 2023

Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR

Sarah Kuschert, Martin Stroet, Yanni Ka-Yan Chin, Anne Claire Conibear, Xinying Jia, Thomas Lee, Christian Reinhard Otto Bartling, Kristian Strømgaard, Peter Güntert, Karl Johan Rosengren, Alan Edward Mark, and Mehdi Mobli


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on mr-2022-22', Anonymous Referee #1, 14 Dec 2022
    • AC1: 'Reply on RC1', Mehdi Mobli, 16 Jan 2023
  • RC2: 'Comment on mr-2022-22', Anonymous Referee #2, 09 Jan 2023
    • AC2: 'Reply on RC2', Mehdi Mobli, 20 Jan 2023
  • RC3: 'Comment on mr-2022-22', Bruno Kieffer, 20 Jan 2023
    • AC3: 'Reply on RC3', Mehdi Mobli, 01 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mehdi Mobli on behalf of the Authors (02 Feb 2023)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (07 Feb 2023) by Nicola Salvi
Short summary
The 20 genetically encoded amino acids provide the basis for most proteins and peptides that make up the machinery of life. This limited repertoire is vastly expanded by the introduction of non-canonical amino acids (ncAAs). Studying the structure of protein-containing ncAAs requires new computational representations that are compatible with existing modelling software. We have developed an online tool for this to aid future structural studies of this class of complex biopolymer.