NOESY Jigsaw: Automated protein secondary structure and main-chain assignment from sparse, unassigned NMR data

Chris Bailey-Kellogg; Marcelo J. Berardi; Alik Widge; John H. Bushweller; John J. Kelley; Bruce Randall Donaldt

NOESY Jigsaw: Automated protein secondary structure and main-chain assignment from sparse, unassigned NMR data

Chris Bailey-Kellogg, Marcelo J. Berardi, Alik Widge, John H. Bushweller, John J. Kelley, Bruce Randall Donaldt

Research output: Contribution to conference › Paper › peer-review

Abstract

The NOESY (nuclear Overhauser enhancement spectroscopy) Jigsaw algorithm is a novel high-throughput, automated approach to protein structure characterization with nuclear magnetic resonance. Jigsaw applies algorithms and probabilistic reasoning techniques, enforcing first-principles consistency rules in order to overcome a 5-10% signal-to-noise ratio. Results for three test proteins demonstrate that the method was able to identify and align approximately 80% of α-helical and 60% of β-sheet structure.

Original language	English (US)
Pages	33-44
Number of pages	12
State	Published - Jan 1 2000
Externally published	Yes
Event	RECOMB 2000: 4th Annual International Conference on Computational Molecular Biology - Tokyo, Jpn Duration: Apr 8 2000 → Apr 11 2000

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Other	RECOMB 2000: 4th Annual International Conference on Computational Molecular Biology
City	Tokyo, Jpn
Period	4/8/00 → 4/11/00

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NOESY Jigsaw: Automated protein secondary structure and main-chain assignment from sparse, unassigned NMR data. / Bailey-Kellogg, Chris; Berardi, Marcelo J.; Widge, Alik et al.
2000. 33-44 Paper presented at RECOMB 2000: 4th Annual International Conference on Computational Molecular Biology, Tokyo, Jpn.

Research output: Contribution to conference › Paper › peer-review

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abstract = "The NOESY (nuclear Overhauser enhancement spectroscopy) Jigsaw algorithm is a novel high-throughput, automated approach to protein structure characterization with nuclear magnetic resonance. Jigsaw applies algorithms and probabilistic reasoning techniques, enforcing first-principles consistency rules in order to overcome a 5-10% signal-to-noise ratio. Results for three test proteins demonstrate that the method was able to identify and align approximately 80% of α-helical and 60% of β-sheet structure.",

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AU - Kelley, John J.

AU - Donaldt, Bruce Randall

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NOESY Jigsaw: Automated protein secondary structure and main-chain assignment from sparse, unassigned NMR data

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