Evidence map›Paper›PMID 24091140›Full record

ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2013

Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers.

Woonghee Lee, Kaifeng Hu, Marco Tonelli, Arash Bahrami, Elizabeth Neuhardt, Karen C Glass, John L Markley

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Woonghee LeeNational Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA; Biochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA. Electronic address: whlee@nmrfam.wisc.edu.
Kaifeng Hu
Marco Tonelli
Arash Bahrami
Elizabeth Neuhardt
Karen C Glass
John L Markley
University of Wisconsin–Madison · USAlbany College of Pharmacy and Health Sciences · US

Funding

TR&D 3: TECHNOLOGY DEVELOPMENT FOR NMR STUDIES OF SMALL MOLECULES (METABOLOMICS, NATURAL PRODUCTS, METABOLITE-PROTEIN INTERACTIONS) pp.537-585 P41GM103399 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 2012 to 2019
$9.4M
Mechanisms of chromatin binding and selection by family IV bromodomainsR15GM104865 · NIGMS · ALBANY COLLEGE OF PHARMACY · PI GLASS, KAREN CHAMPAGNE · 2013 to 2016
$910k
NIGMS NIH HHS 8P41 GM103399NIGMS NIH HHS P41 GM103399NIGMS NIH HHS R15 GM104865NIGMS NIH HHS R15GM104865
6 · The paper itself

Abstract

ADAPT-NMR (Assignment-directed Data collection Algorithm utilizing a Probabilistic Toolkit in NMR) supports automated NMR data collection and backbone and side chain assignment for [U-(13)C, U-(15)N]-labeled proteins. Given the sequence of the protein and data for the orthogonal 2D (1)H-(15)N and (1)H-(13)C planes, the algorithm automatically directs the collection of tilted plane data from a variety of triple-resonance experiments so as to follow an efficient pathway toward the probabilistic assignment of (1)H, (13)C, and (15)N signals to specific atoms in the covalent structure of the protein. Data collection and assignment calculations continue until the addition of new data no longer improves the assignment score. ADAPT-NMR was first implemented on Varian (Agilent) spectrometers [A. Bahrami, M. Tonelli, S.C. Sahu, K.K. Singarapu, H.R. Eghbalnia, J.L. Markley, PLoS One 7 (2012) e33173]. Because of broader interest in the approach, we present here a version of ADAPT-NMR for Bruker spectrometers. We have developed two AU console programs (ADAPT_ORTHO_run and ADAPT_NMR_run) that run under TOPSPIN Versions 3.0 and higher. To illustrate the performance of the algorithm on a Bruker spectrometer, we tested one protein, chlorella ubiquitin (76 amino acid residues), that had been used with the Varian version: the Bruker and Varian versions achieved the same level of assignment completeness (98% in 20 h). As a more rigorous evaluation of the Bruker version, we tested a larger protein, BRPF1 bromodomain (114 amino acid residues), which yielded an automated assignment completeness of 86% in 55 h. Both experiments were carried out on a 500 MHz Bruker AVANCE III spectrometer equipped with a z-gradient 5 mm TCI probe. ADAPT-NMR is available at http://pine.nmrfam.wisc.edu/ADAPT-NMR in the form of pulse programs, the two AU programs, and instructions for installation and use.

Indexed as

Adaptor Proteins, Signal TransducingAlgorithmsAutomationBromodomain Containing ProteinsChlorellaData CollectionDNA-Binding ProteinsHumansIsotope LabelingNuclear Magnetic Resonance, BiomolecularNuclear ProteinsProteinsSoftwareUbiquitinAdaptor Proteins, Signal TransducingBromodomain Containing ProteinsBRPF1 protein, humanDNA-Binding ProteinsNuclear ProteinsProteinsUbiquitinADAPT-NMRAUBiological Magnetic Resonance Data BankBMRBBrukerBruker’s software package for NMR data acquisitionComputational biologyFast NMR data collectionHIFI-NMRHigh-resolution Iterative Frequency Identification for NMRparameter in TopSpin representing the number of sampled time domain data pointsPINEProbabilistic Interaction Network of EvidenceReduced dimensionalityStructural biologyTDTopSpinTopSpin macro programming languageVarian (Agilent)’s software package for NMR data acquisitionVNMRJZG options, parameter in TopSpin used for conditional pulse program executionZGOPTNS

Identifiers

PMID24091140
PMCPMC3858185
OpenAlexW2042529431

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.