Evidence map›Paper›PMID 21402037›Full record

ArticleBiophysical journal2011

The role of bulk protein in local models of ion-binding to proteins: comparative study of KcsA, its semisynthetic analog with a locked-in binding site, and valinomycin.

Purushottam D Dixit, D Asthagiri

Erratum issuedOpen access · bronzeAbstract readComparative Study
In one paragraph

Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Thermodynamics of ion selectivity in the KcsA K+ channel.The Journal of general physiology · 2011
    Review
  4. Ion selectivity in channels and transporters.The Journal of general physiology · 2011
    Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Purushottam D DixitDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
D Asthagiri
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In studying ion-selectivity in biomaterials, it is common to study ion-protein interactions within a local neighborhood around the ion. This local system analysis for the S(2) site of KcsA, its semisynthetic analog, and valinomycin yields the free energy change in exchanging K(+) with Na(+) in quantitative agreement with the value obtained by considering ion-interactions with the entire system. But the energetics of ion binding in the local system and in the entire system differ significantly and lead to different conclusions regarding the physical basis of ion selectivity. For configurations sampled from an all-atom simulation, we show that the selectivity free energy can be decomposed into a contribution arising from interactions of the ion with its local neighborhood, ΔW(local), and a term arising from the field imposed on the ion and the binding site by the rest of the medium, ΔW(ϕ). The local contribution ΔW(local) is numerically close to the actual free energy difference because the field contribution is small. The field contribution is small because of cancellation of inversely related ion-medium and site-medium interactions. Our analysis presents a rigorous foundation for the numerical success of the local system analysis and shows that its implications do not always hold for the entire protein.

Indexed as

Molecular Dynamics SimulationBinding SitesMutationPotassium ChannelsProtein BindingProtein ConformationThermodynamicsValinomycinPotassium ChannelsValinomycin

Identifiers

PMID21402037
PMCPMC3059570
OpenAlexW1989433483

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.