Evidence map›Paper›PMID 33524015›Full record

ArticlePLoS computational biology2021

REDCRAFT: A computational platform using residual dipolar coupling NMR data for determining structures of perdeuterated proteins in solution.

Casey A Cole, Nourhan S Daigham, Gaohua Liu, Gaetano T Montelione, Homayoun Valafar

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

5 authors.

Casey A ColeDepartment of Computer Science & Engineering, University of South Carolina, Columbia, South Carolina, United States of America.ORCID 0000-0002-0320-6894
Nourhan S DaighamDepartment of Molecular Biology and Biochemistry, and Department of Biochemistry, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.ORCID 0000-0002-3153-6583
Gaohua LiuNexomics Biosciences, Princeton, New Jersey, United States of America.ORCID 0000-0002-4343-0356
Gaetano T MontelioneDepartment of Molecular Biology and Biochemistry, and Department of Biochemistry, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.ORCID 0000-0002-9440-3059
Homayoun ValafarDepartment of Computer Science & Engineering, University of South Carolina, Columbia, South Carolina, United States of America.

Funding

Supplement for South Carolina BRIN - 1P20 RR16461P20RR016461 · NCRR · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI DOOLEY, R. LARRY · 2001 to 2011
$32.3M
Membrane Protein Structure Using Evolutionary Couplings and Sparse NMR DataR01GM120574 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI MONTELIONE, GAETANO T · 2017 to 2020
$2.3M
NCRR NIH HHS P20 RR016461NIGMS NIH HHS R01 GM120574
6 · The paper itself

Abstract

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the three primary experimental means of characterizing macromolecular structures, including protein structures. Structure determination by solution NMR spectroscopy has traditionally relied heavily on distance restraints derived from nuclear Overhauser effect (NOE) measurements. While structure determination of proteins from NOE-based restraints is well understood and broadly used, structure determination from Residual Dipolar Couplings (RDCs) is relatively less well developed. Here, we describe the new features of the protein structure modeling program REDCRAFT and focus on the new Adaptive Decimation (AD) feature. The AD plays a critical role in improving the robustness of REDCRAFT to missing or noisy data, while allowing structure determination of larger proteins from less data. In this report we demonstrate the successful application of REDCRAFT in structure determination of proteins ranging in size from 50 to 145 residues using experimentally collected data, and of larger proteins (145 to 573 residues) using simulated RDC data. In both cases, REDCRAFT uses only RDC data that can be collected from perdeuterated proteins. Finally, we compare the accuracy of structure determination from RDCs alone with traditional NOE-based methods for the structurally novel PF.2048.1 protein. The RDC-based structure of PF.2048.1 exhibited 1.0 Å BB-RMSD with respect to a high-quality NOE-based structure. Although optimal strategies would include using RDC data together with chemical shift, NOE, and other NMR data, these studies provide proof-of-principle for robust structure determination of largely-perdeuterated proteins from RDC data alone using REDCRAFT.

Indexed as

SoftwareAlgorithmsComputational BiologyComputer SimulationCrystallography, X-RayDatabases, ProteinDeuteriumHumansMagnetic Resonance SpectroscopyModels, MolecularNuclear Magnetic Resonance, BiomolecularProtein ConformationProteinsSolutionsDeuteriumProteinsSolutions

Identifiers

PMID33524015
PMCPMC7877757

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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.