Evidence map›Paper›PMID 20634984›Full record

ArticleBioinformatics and biology insights2010

Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data.

Christian Gorba, Florence Tama

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Editorial: Hybrid Biomolecular Modeling.Frontiers in molecular biosciences · 2018
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Solution structure of RNase P RNA.RNA (New York, N.Y.) · 2011
    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

2 authors.

Christian GorbaDepartment of Chemistry and Biochemistry, The University of Arizona, 1041 E. Lowell Street, Tucson, AZ, 85721.
Florence Tama

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a method to reconstruct a three-dimensional protein structure from an atomic pair distribution function derived from the scattering intensity profile from SAXS data by flexibly fitting known x-ray structures. This method uses a linear combination of low-frequency normal modes from an elastic network description of the molecule in an iterative manner to deform the structure to conform optimally to the target pair distribution function derived from SAXS data. For computational efficiency, the protein and water molecules included in the protein first hydration shell are coarse-grained. In this paper, we demonstrate the validity of our coarse-graining approach to study SAXS data. Illustrative results of our flexible fitting studies on simulated SAXS data from five different proteins are presented.

Indexed as

coarse-grained modelconformational changemodelingpair distribution functionproteintrusted region method

Identifiers

PMID20634984
PMCPMC2901630

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.