RASP: Rapid and robust backbone chemical shift assignments from protein structure

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Chemical shift prediction has an unappreciated power to guide backbone resonance assignment in cases where protein structure is known. Here we describe Resonance Assignment by chemical Shift Prediction (RASP), a method that exploits this power to derive protein backbone resonance assignments from chemical shift predictions. Robust assignments can be obtained from a minimal set of only the most sensitive triple-resonance experiments, even for spectroscopically challenging proteins. Over a test set of 154 proteins RASP assigns 88 of residues with an accuracy of 99.7 , using only information available from HNCO and HNCA spectra. Applied to experimental data from a challenging 34 kDa protein, RASP assigns 90 of manually assigned residues using only 40 of the experimental data required for the manual assignment. RASP has the potential to significantly accelerate the backbone assignment process for a wide range of proteins for which structural information is available, including those for which conventional assignment strategies are not feasible.
Original languageEnglish
Pages (from-to)155 - 163
Number of pages9
JournalJournal of Biomolecular NMR
Volume58
Issue number3
DOIs
Publication statusPublished - 2014

Cite this

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abstract = "Chemical shift prediction has an unappreciated power to guide backbone resonance assignment in cases where protein structure is known. Here we describe Resonance Assignment by chemical Shift Prediction (RASP), a method that exploits this power to derive protein backbone resonance assignments from chemical shift predictions. Robust assignments can be obtained from a minimal set of only the most sensitive triple-resonance experiments, even for spectroscopically challenging proteins. Over a test set of 154 proteins RASP assigns 88 of residues with an accuracy of 99.7 , using only information available from HNCO and HNCA spectra. Applied to experimental data from a challenging 34 kDa protein, RASP assigns 90 of manually assigned residues using only 40 of the experimental data required for the manual assignment. RASP has the potential to significantly accelerate the backbone assignment process for a wide range of proteins for which structural information is available, including those for which conventional assignment strategies are not feasible.",
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RASP: Rapid and robust backbone chemical shift assignments from protein structure. / MacRaild, Christopher Andrew; Norton, Raymond Stanley.

In: Journal of Biomolecular NMR, Vol. 58, No. 3, 2014, p. 155 - 163.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Norton, Raymond Stanley

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AB - Chemical shift prediction has an unappreciated power to guide backbone resonance assignment in cases where protein structure is known. Here we describe Resonance Assignment by chemical Shift Prediction (RASP), a method that exploits this power to derive protein backbone resonance assignments from chemical shift predictions. Robust assignments can be obtained from a minimal set of only the most sensitive triple-resonance experiments, even for spectroscopically challenging proteins. Over a test set of 154 proteins RASP assigns 88 of residues with an accuracy of 99.7 , using only information available from HNCO and HNCA spectra. Applied to experimental data from a challenging 34 kDa protein, RASP assigns 90 of manually assigned residues using only 40 of the experimental data required for the manual assignment. RASP has the potential to significantly accelerate the backbone assignment process for a wide range of proteins for which structural information is available, including those for which conventional assignment strategies are not feasible.

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