ArticleJournal of biomolecular NMR2011
AUTOBA: automation of backbone assignment from HN(C)N suite of experiments.
Article in Journal of biomolecular NMR, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Exploiting image registration for automated resonance assignment in NMR.Journal of biomolecular NMR · 2015Article
- Parallel acquisition of 3D-HA(CA)NH and 3D-HACACO spectra.Journal of biomolecular NMR · 2013Article
- A unified NMR strategy for high-throughput determination of backbone fold of small proteins.Journal of structural and functional genomics · 2012Article
- TSAR: a program for automatic resonance assignment using 2D cross-sections of high dimensionality, high-resolution spectra.Journal of biomolecular NMR · 2012Article
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3 authors.
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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 H(N), (15)N, C(α) 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.
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