Skip to main content

Research Repository

Advanced Search

AUTOBA: automation of backbone assignment from HN(C)N suite of experiments.

Borkar, Aditi; Kumar, Dinesh; Hosur, Ramakrishna V.

Authors

Dr ADITI BORKAR Aditi.Borkar@nottingham.ac.uk
ASSISTANT PROFESSOR IN MOLECULARBIOCHEMISTRY & BIOPHYSICS

Dinesh Kumar

Ramakrishna V. Hosur



Abstract

Development of efficient strategies and automation represent important milestones of progress in rapid structure determination efforts in proteomics research. In this context, we present here an efficient algorithm named as AUTOBA (Automatic Backbone Assignment) designed to automate the assignment protocol based on HN(C)N suite of experiments. Depending upon the spectral dispersion, the user can record 2D or 3D versions of the experiments for assignment. The algorithm uses as inputs: (i) protein primary sequence and (ii) peak-lists from user defined HN(C)N suite of experiments. In the end, one gets HN, 15N, Cα and C′ assignments (in common BMRB format) for the individual residues along the polypeptide chain. The success of the algorithm has been demonstrated, not only with experimental spectra recorded on two small globular proteins: ubiquitin (76 aa) and M-crystallin (85 aa), but also with simulated spectra of 27 other proteins using assignment data from the BMRB.

Citation

Borkar, A., Kumar, D., & Hosur, R. V. (2011). AUTOBA: automation of backbone assignment from HN(C)N suite of experiments. Journal of Biomolecular NMR, 50, 285–297. https://doi.org/10.1007/s10858-011-9518-0

Journal Article Type Article
Acceptance Date May 12, 2011
Online Publication Date May 29, 2011
Publication Date May 29, 2011
Deposit Date Jan 29, 2025
Journal Journal of biomolecular NMR
Print ISSN 0925-2738
Electronic ISSN 1573-5001
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 50
Pages 285–297
DOI https://doi.org/10.1007/s10858-011-9518-0
Keywords Structural proteomics, HN(C)N, Backbone assignment, Start points, Checkpoints, Automated assignment, AUTOBA
Public URL https://nottingham-repository.worktribe.com/output/43946026
Publisher URL https://link.springer.com/article/10.1007/s10858-011-9518-0
PMID 21626212