Evidence map›Paper›PMID 35111815›Full record

ReviewFrontiers in molecular biosciences2021

Merging NMR Data and Computation Facilitates Data-Centered Research.

Kumaran Baskaran, D Levi Craft, Hamid R Eghbalnia, Michael R Gryk, Jeffrey C Hoch, Mark W Maciejewski, Adam D Schuyler, Jonathan R Wedell, Colin W Wilburn

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Unveiling belowground allelopathy:Frontiers in plant science · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

9 authors.

Kumaran BaskaranDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
D Levi CraftDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Hamid R EghbalniaDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Michael R GrykDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Jeffrey C HochDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Mark W MaciejewskiDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Adam D SchuylerDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Jonathan R WedellDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
Colin W WilburnDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.

Funding

The BMRB as an evolving resource for biomolecular structure-function researchR01GM109046 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HOCH, JEFFREY C · 2014 to 2022
$6.6M
NIGMS NIH HHS R01 GM109046
6 · The paper itself

Abstract

The Biological Magnetic Resonance Data Bank (BMRB) has served the NMR structural biology community for 40 years, and has been instrumental in the development of many widely-used tools. It fosters the reuse of data resources in structural biology by embodying the FAIR data principles (Findable, Accessible, Inter-operable, and Re-usable). NMRbox is less than a decade old, but complements BMRB by providing NMR software and high-performance computing resources, facilitating the reuse of software resources. BMRB and NMRbox both facilitate reproducible research. NMRbox also fosters the development and deployment of complex meta-software. Combining BMRB and NMRbox helps speed and simplify workflows that utilize BMRB, and enables facile federation of BMRB with other data repositories. Utilization of BMRB and NMRbox in tandem will enable additional advances, such as machine learning, that are poised to become increasingly powerful.

Indexed as

data federationdata repositoriesnuclear magnetic resonancereproducible researchstructural biology

Identifiers

PMID35111815
PMCPMC8802229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.