Evidence map›Paper›PMID 33961840›Full record

ReviewThe Journal of biological chemistry

Moving beyond static snapshots: Protein dynamics and the Protein Data Bank.

Mitchell D Miller, George N Phillips

Abstract readReview
In one paragraph

Review in The Journal of biological chemistry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
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  17. Article
  18. Functional protein dynamics in a crystal.Nature communications · 2024
    Article
  19. Functional Protein Dynamics in a Crystal.bioRxiv : the preprint server for biology · 2024
    Article
  20. Review
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

2 authors.

Mitchell D MillerDepartment of Biosciences, Rice University, Houston, Texas, USA.
George N PhillipsDepartment of Biosciences, Rice University, Houston, Texas, USA; Department of Chemistry, Rice University, Houston, Texas, USA. Electronic address: georgep@rice.edu.

Funding

Studies to understand and exploit 10-membered enediyne biosynthesisR01CA217255 · NCI · UNIVERSITY OF KENTUCKY · PI PHILLIPS, GEORGE NEAL, THORSON, JON SCOTT · 2017 to 2021
$2.6M
NCI NIH HHS R01 CA217255
6 · The paper itself

Abstract

Proteins are the molecular machines of living systems. Their dynamics are an intrinsic part of their evolutionary selection in carrying out their biological functions. Although the dynamics are more difficult to observe than a static, average structure, we are beginning to observe these dynamics and form sound mechanistic connections between structure, dynamics, and function. This progress is highlighted in case studies from myoglobin and adenylate kinase to the ribosome and molecular motors where these molecules are being probed with a multitude of techniques across many timescales. New approaches to time-resolved crystallography are allowing simple "movies" to be taken of proteins in action, and new methods of mapping the variations in cryo-electron microscopy are emerging to reveal a more complete description of life's machines. The results of these new methods are aided in their dissemination by continual improvements in curation and distribution by the Protein Data Bank and their partners around the world.

Indexed as

Databases, ProteinModels, MolecularAdenylate KinaseAnimalsHumansMyoglobinRibosomesStructure-Activity RelationshipAdenylate KinaseMyoglobincrystallographyelectron microscopymolecular dynamicsnuclear magnetic resonance (NMR)Protein Data Bankprotein dynamicsstructural biologystructure function

Identifiers

PMID33961840
PMCPMC8164045

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.