Evidence map›Paper›PMID 15078222›Full record

ReviewCurrent protein & peptide science2004

New advances in normal mode analysis of supermolecular complexes and applications to structural refinement.

Jianpeng Ma

Abstract readReview
In one paragraph

Review in Current protein & peptide science, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Group theory and biomolecular conformation: I. Mathematical and computational models.Journal of physics. Condensed matter : an Institute of Physics journal · 2010
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Coarse-grained modeling of allosteric regulation in protein receptors.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. A minimalist network model for coarse-grained normal mode analysis and its application to biomolecular x-ray crystallography.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  20. 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

1 author.

Jianpeng MaGraduate Program of Structural and Computational Biology and Molecular Biophysics and Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA. jpma@bcm.tmc.edu

Funding

New Simulation Methods at Multi-Scales and -ResolutionsR01GM067801 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI MA, JIANPENG · 2003 to 2015
$3.4M
NIGMS NIH HHS R01 GM067801NIGMS NIH HHS R01-GM067801
6 · The paper itself

Abstract

Normal mode analysis is an effective computational method for studying large-amplitude low-frequency molecular deformations that are ubiquitously involved in the functions of biological macromolecules, especially supermolecular complexes. The recent years have witnessed a substantial advance in methodology development in the field. This review is intended to summarize some of the important advances that enable one to simulate deformations of supermolecular complexes at expended resolution- and length-scales, with particular emphasis on the implications in structural refinement against low- to intermediate-resolution structural data such as those from electron cryomicroscopy and fibre diffraction.

Indexed as

Macromolecular SubstancesModels, MolecularActin CytoskeletonComputational BiologyComputer SimulationCryoelectron MicroscopyFatty Acid SynthasesMolecular ConformationMotionProteinsSurface PropertiesFatty Acid SynthasesMacromolecular SubstancesProteins

Identifiers

PMID15078222
PMCPMC2688808

What OpenQuestion holds

Textmetadata
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.