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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR. / Kuschert, Sarah; Stroet, Martin; Chin, Yanni Ka Yan; Conibear, Anne Claire; Jia, Xinying; Lee, Thomas; Bartling, Christian Reinhard Otto; Strømgaard, Kristian; Güntert, Peter; Rosengren, Karl Johan; Mark, Alan Edward; Mobli, Mehdi.

In: Magnetic Resonance, Vol. 4, No. 1, 2023, p. 57-72.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Kuschert, S, Stroet, M, Chin, YKY, Conibear, AC, Jia, X, Lee, T, Bartling, CRO, Strømgaard, K, Güntert, P, Rosengren, KJ, Mark, AE & Mobli, M 2023, 'Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR', Magnetic Resonance, vol. 4, no. 1, pp. 57-72. https://doi.org/10.5194/mr-4-57-2023

APA

Kuschert, S., Stroet, M., Chin, Y. K. Y., Conibear, A. C., Jia, X., Lee, T., Bartling, C. R. O., Strømgaard, K., Güntert, P., Rosengren, K. J., Mark, A. E., & Mobli, M. (2023). Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR. Magnetic Resonance, 4(1), 57-72. https://doi.org/10.5194/mr-4-57-2023

Vancouver

Kuschert S, Stroet M, Chin YKY, Conibear AC, Jia X, Lee T et al. Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR. Magnetic Resonance. 2023;4(1):57-72. https://doi.org/10.5194/mr-4-57-2023

Author

Kuschert, Sarah ; Stroet, Martin ; Chin, Yanni Ka Yan ; Conibear, Anne Claire ; Jia, Xinying ; Lee, Thomas ; Bartling, Christian Reinhard Otto ; Strømgaard, Kristian ; Güntert, Peter ; Rosengren, Karl Johan ; Mark, Alan Edward ; Mobli, Mehdi. / Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR. In: Magnetic Resonance. 2023 ; Vol. 4, No. 1. pp. 57-72.

Bibtex

@article{8f8830f035fc4aa89a3ac59c1ed44a2e,
title = "Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR",
abstract = "Peptides and proteins containing non-canonical amino acids (ncAAs) are a large and important class of biopolymers. They include non-ribosomally synthesised peptides, post-translationally modified proteins, expressed or synthesised proteins containing unnatural amino acids, and peptides and proteins that are chemically modified. Here, we describe a general procedure for generating atomic descriptions required to incorporate ncAAs within popular NMR structure determination software such as CYANA, CNS, Xplor-NIH and ARIA. This procedure is made publicly available via the existing Automated Topology Builder (ATB) server (https://atb.uq.edu.au, last access: 17 February 2023) with all submitted ncAAs stored in a dedicated database. The described procedure also includes a general method for linking of side chains of amino acids from CYANA templates. To ensure compatibility with other systems, atom names comply with IUPAC guidelines. In addition to describing the workflow, 3D models of complex natural products generated by CYANA are presented, including vancomycin. In order to demonstrate the manner in which the templates for ncAAs generated by the ATB can be used in practice, we use a combination of CYANA and CNS to solve the structure of a synthetic peptide designed to disrupt Alzheimer-related protein-protein interactions. Automating the generation of structural templates for ncAAs will extend the utility of NMR spectroscopy to studies of more complex biomolecules, with applications in the rapidly growing fields of synthetic biology and chemical biology. The procedures we outline can also be used to standardise the creation of structural templates for any amino acid and thus have the potential to impact structural biology more generally.",
author = "Sarah Kuschert and Martin Stroet and Chin, {Yanni Ka Yan} and Conibear, {Anne Claire} and Xinying Jia and Thomas Lee and Bartling, {Christian Reinhard Otto} and Kristian Str{\o}mgaard and Peter G{\"u}ntert and Rosengren, {Karl Johan} and Mark, {Alan Edward} and Mehdi Mobli",
note = "Funding Information: This research has been supported by the Australian Research Council (grant nos. DP190101177, DP220103028, and DP220100896), the Australian National Health and Medical Research Council (grant no. APP1162597 to Mehdi Mobli), and the Austrian Science Fund (FWF) (grant no. P36101-B to Anne Claire Conibear). Funding Information: This project was supported by The University of Queensland (Postgraduate Research Scholarship to Sarah Kuschert, Research Stimulus fellowship to Yanni Ka-Yan Chin and Development Fellowship to Mehdi Mobli). ",
year = "2023",
doi = "10.5194/mr-4-57-2023",
language = "English",
volume = "4",
pages = "57--72",
journal = "Magnetic Resonance",
issn = "2699-0059",
publisher = "Copernicus Publications",
number = "1",

}

RIS

TY - JOUR

T1 - Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR

AU - Kuschert, Sarah

AU - Stroet, Martin

AU - Chin, Yanni Ka Yan

AU - Conibear, Anne Claire

AU - Jia, Xinying

AU - Lee, Thomas

AU - Bartling, Christian Reinhard Otto

AU - Strømgaard, Kristian

AU - Güntert, Peter

AU - Rosengren, Karl Johan

AU - Mark, Alan Edward

AU - Mobli, Mehdi

N1 - Funding Information: This research has been supported by the Australian Research Council (grant nos. DP190101177, DP220103028, and DP220100896), the Australian National Health and Medical Research Council (grant no. APP1162597 to Mehdi Mobli), and the Austrian Science Fund (FWF) (grant no. P36101-B to Anne Claire Conibear). Funding Information: This project was supported by The University of Queensland (Postgraduate Research Scholarship to Sarah Kuschert, Research Stimulus fellowship to Yanni Ka-Yan Chin and Development Fellowship to Mehdi Mobli).

PY - 2023

Y1 - 2023

N2 - Peptides and proteins containing non-canonical amino acids (ncAAs) are a large and important class of biopolymers. They include non-ribosomally synthesised peptides, post-translationally modified proteins, expressed or synthesised proteins containing unnatural amino acids, and peptides and proteins that are chemically modified. Here, we describe a general procedure for generating atomic descriptions required to incorporate ncAAs within popular NMR structure determination software such as CYANA, CNS, Xplor-NIH and ARIA. This procedure is made publicly available via the existing Automated Topology Builder (ATB) server (https://atb.uq.edu.au, last access: 17 February 2023) with all submitted ncAAs stored in a dedicated database. The described procedure also includes a general method for linking of side chains of amino acids from CYANA templates. To ensure compatibility with other systems, atom names comply with IUPAC guidelines. In addition to describing the workflow, 3D models of complex natural products generated by CYANA are presented, including vancomycin. In order to demonstrate the manner in which the templates for ncAAs generated by the ATB can be used in practice, we use a combination of CYANA and CNS to solve the structure of a synthetic peptide designed to disrupt Alzheimer-related protein-protein interactions. Automating the generation of structural templates for ncAAs will extend the utility of NMR spectroscopy to studies of more complex biomolecules, with applications in the rapidly growing fields of synthetic biology and chemical biology. The procedures we outline can also be used to standardise the creation of structural templates for any amino acid and thus have the potential to impact structural biology more generally.

AB - Peptides and proteins containing non-canonical amino acids (ncAAs) are a large and important class of biopolymers. They include non-ribosomally synthesised peptides, post-translationally modified proteins, expressed or synthesised proteins containing unnatural amino acids, and peptides and proteins that are chemically modified. Here, we describe a general procedure for generating atomic descriptions required to incorporate ncAAs within popular NMR structure determination software such as CYANA, CNS, Xplor-NIH and ARIA. This procedure is made publicly available via the existing Automated Topology Builder (ATB) server (https://atb.uq.edu.au, last access: 17 February 2023) with all submitted ncAAs stored in a dedicated database. The described procedure also includes a general method for linking of side chains of amino acids from CYANA templates. To ensure compatibility with other systems, atom names comply with IUPAC guidelines. In addition to describing the workflow, 3D models of complex natural products generated by CYANA are presented, including vancomycin. In order to demonstrate the manner in which the templates for ncAAs generated by the ATB can be used in practice, we use a combination of CYANA and CNS to solve the structure of a synthetic peptide designed to disrupt Alzheimer-related protein-protein interactions. Automating the generation of structural templates for ncAAs will extend the utility of NMR spectroscopy to studies of more complex biomolecules, with applications in the rapidly growing fields of synthetic biology and chemical biology. The procedures we outline can also be used to standardise the creation of structural templates for any amino acid and thus have the potential to impact structural biology more generally.

U2 - 10.5194/mr-4-57-2023

DO - 10.5194/mr-4-57-2023

M3 - Journal article

C2 - 37904802

AN - SCOPUS:85149117360

VL - 4

SP - 57

EP - 72

JO - Magnetic Resonance

JF - Magnetic Resonance

SN - 2699-0059

IS - 1

ER -

ID: 339327152