ArticlePloS one2012
Robust, integrated computational control of NMR experiments to achieve optimal assignment by ADAPT-NMR.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Design and Characterization of a Cell-Penetrating Peptide Derived from the SOX2 Transcription Factor.International journal of molecular sciences · 2021Article
- Optimal design of adaptively sampled NMR experiments for measurement of methyl group dynamics with application to a ribosome-nascent chain complex.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2021Article
- Biomolecular NMR: Past and future.Archives of biochemistry and biophysics · 2017Article
- Mechanism of Histone H3K4me3 Recognition by the Plant Homeodomain of Inhibitor of Growth 3.The Journal of biological chemistry · 2016Article
- The AUDANA algorithm for automated protein 3D structure determination from NMR NOE data.Journal of biomolecular NMR · 2016Article
- NMRFAM-SDF: a protein structure determination framework.Journal of biomolecular NMR · 2015Article
- ADAPT-NMR 3.0: utilization of BEST-type triple-resonance NMR experiments to accelerate the process of data collection and assignment.Journal of biomolecular NMR · 2015Article
- Assignments of RNase A by ADAPT-NMR and enhancer.Biomolecular NMR assignments · 2015Article
- Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2013Article
- ADAPT-NMR Enhancer: complete package for reduced dimensionality in protein NMR spectroscopy.Bioinformatics (Oxford, England) · 2013Article
- PACSY, a relational database management system for protein structure and chemical shift analysis.Journal of biomolecular NMR · 2012Article
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6 authors.
Funding
Abstract
ADAPT-NMR (Assignment-directed Data collection Algorithm utilizing a Probabilistic Toolkit in NMR) represents a groundbreaking prototype for automated protein structure determination by nuclear magnetic resonance (NMR) spectroscopy. With a [(13)C,(15)N]-labeled protein sample loaded into the NMR spectrometer, ADAPT-NMR delivers complete backbone resonance assignments and secondary structure in an optimal fashion without human intervention. ADAPT-NMR achieves this by implementing a strategy in which the goal of optimal assignment in each step determines the subsequent step by analyzing the current sum of available data. ADAPT-NMR is the first iterative and fully automated approach designed specifically for the optimal assignment of proteins with fast data collection as a byproduct of this goal. ADAPT-NMR evaluates the current spectral information, and uses a goal-directed objective function to select the optimal next data collection step(s) and then directs the NMR spectrometer to collect the selected data set. ADAPT-NMR extracts peak positions from the newly collected data and uses this information in updating the analysis resonance assignments and secondary structure. The goal-directed objective function then defines the next data collection step. The procedure continues until the collected data support comprehensive peak identification, resonance assignments at the desired level of completeness, and protein secondary structure. We present test cases in which ADAPT-NMR achieved results in two days or less that would have taken two months or more by manual approaches.
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