Evidence map›Paper›PMID 25075321›Full record

ArticleIUCrJ2014

Do we see what we should see? Describing non-covalent interactions in protein structures including precision.

Manickam Gurusaran, Mani Shankar, Raju Nagarajan, John R Helliwell, Kanagaraj Sekar

Open access · goldAbstract read
In one paragraph

Article in IUCrJ, 2014. 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
2.4field-weighted citation impact, top 11% of its field
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, 63 citations in OpenAlex.

  1. Towards routine accurate electron-density studies of biological macromolecules.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Article
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  6. A database overview of metal-coordination distances in metalloproteins.Acta crystallographica. Section D, Structural biology · 2024
    Article
  7. Article
  8. Review
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  12. Raw diffraction data are our ground truth from which all subsequent workflows develop.Acta crystallographica. Section D, Structural biology · 2022
    Article
  13. Uses and Abuses of the Atomic Displacement Parameters in Structural Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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  15. Article
  16. Review
  17. Article
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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 at 2 institutions in 2 countries.

Manickam GurusaranSupercomputer Education and Research Centre, Indian Institute of Science , Bangalore, Karnataka 560 012, India.
Mani ShankarSupercomputer Education and Research Centre, Indian Institute of Science , Bangalore, Karnataka 560 012, India.
Raju NagarajanSupercomputer Education and Research Centre, Indian Institute of Science , Bangalore, Karnataka 560 012, India.
John R HelliwellSchool of Chemistry, University of Manchester , Brunswick Street, Manchester M13 9PL, England.
Kanagaraj SekarSupercomputer Education and Research Centre, Indian Institute of Science , Bangalore, Karnataka 560 012, India.
Indian Institute of Science Bangalore · INUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The power of X-ray crystal structure analysis as a technique is to 'see where the atoms are'. The results are extensively used by a wide variety of research communities. However, this 'seeing where the atoms are' can give a false sense of security unless the precision of the placement of the atoms has been taken into account. Indeed, the presentation of bond distances and angles to a false precision (i.e. to too many decimal places) is commonplace. This article has three themes. Firstly, a basis for a proper representation of protein crystal structure results is detailed and demonstrated with respect to analyses of Protein Data Bank entries. The basis for establishing the precision of placement of each atom in a protein crystal structure is non-trivial. Secondly, a knowledge base harnessing such a descriptor of precision is presented. It is applied here to the case of salt bridges, i.e. ion pairs, in protein structures; this is the most fundamental place to start with such structure-precision representations since salt bridges are one of the tenets of protein structure stability. Ion pairs also play a central role in protein oligomerization, molecular recognition of ligands and substrates, allosteric regulation, domain motion and α-helix capping. A new knowledge base, SBPS (Salt Bridges in Protein Structures), takes these structural precisions into account and is the first of its kind. The third theme of the article is to indicate natural extensions of the need for such a description of precision, such as those involving metalloproteins and the determination of the protonation states of ionizable amino acids. Overall, it is also noted that this work and these examples are also relevant to protein three-dimensional structure molecular graphics software.

Indexed as

crystal structure analysisdiffraction-component precision indexDPIfull-matrix least-squares methodmeasurement uncertaintyneutron diffractionprotein crystal structure precisionsalt bridges

Identifiers

PMID25075321
PMCPMC4104967
OpenAlexW2145107711

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.