Evidence map›Paper›PMID 21918621›Full record

ArticleAdvances and applications in bioinformatics and chemistry : AABC2010

Estimating affinities of calcium ions to proteins.

Stefan Franke, Julia Herfurth, Daniel Hoffmann

Abstract read
In one paragraph

Article in Advances and applications in bioinformatics and chemistry : AABC, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Stefan FrankeDepartment of Bioinformatics/Centre for Medical Biotechnology, University of Duisburg-Essen, Essen, Germany.
Julia Herfurth
Daniel Hoffmann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ca(2+)-ions have a range of affinities to different proteins, depending on the various functions of these proteins. This makes the determination of Ca(2+)-protein affinities an interesting subject for functional studies. We have investigated the performance of two methods - Fold-X and AutoDock vina - in the prediction of Ca(2+)-protein affinities. Both methods, although based on different energy functions, showed virtually the same correlation with experimental affinities. Guided by insight from experiment, we further derived a simple linear model based on the solvent accessible surface of Ca(2+) that had practically the same performance in terms of absolute errors as the more complex docking methods.

Indexed as

bindingcrystal structurefree energymetal ionssolvent accessible surface

Identifiers

PMID21918621
PMCPMC3170010

What OpenQuestion holds

Textmetadata
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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.