Evidence map›Paper›PMID 19217848›Full record

ArticleBiophysical journal2009

Ions and inhibitors in the binding site of HIV protease: comparison of Monte Carlo simulations and the linearized Poisson-Boltzmann theory.

Dezso Boda, Mónika Valiskó, Douglas Henderson, Dirk Gillespie, Bob Eisenberg, Michael K Gilson

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Fast Analytical Methods for Macroscopic Electrostatic Models in Biomolecular Simulations.SIAM review. Society for Industrial and Applied Mathematics · 2011
    Article
  5. Article
  6. Article
  7. Discretization of the induced-charge boundary integral equation.Physical review. E, Statistical, nonlinear, and soft matter physics · 2009
    Article
  8. 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

6 authors at 4 institutions in 2 countries.

Dezso BodaDepartment of Physical Chemistry, University of Pannonia, Veszprém, Hungary.
Mónika Valiskó
Douglas Henderson
Dirk Gillespie
Bob Eisenberg
Michael K Gilson
Rush University Medical Center · USUniversity of Pannonia · HUBiotechnology Institute · USBrigham Young University · US

Funding

THEORY AND MODELING OF NONCOVALENT BINDINGR01GM061300 · NIGMS · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI GILSON, MICHAEL K. · 2000 to 2021
$7.2M
Simulations of Calcium Selectivity and BindingR01GM076013 · NIGMS · RUSH UNIVERSITY MEDICAL CENTER · PI EISENBERG, ROBERT S. · 2006 to 2009
$1.5M
NIGMS NIH HHS GM076013NIGMS NIH HHS GM61300NIGMS NIH HHS R01 GM061300NIGMS NIH HHS R01 GM076013
6 · The paper itself

Abstract

Proteins can be influenced strongly by the electrolyte in which they are dissolved, and we wish to model, understand, and ultimately control such ionic effects. Relatively detailed Monte Carlo (MC) ion simulations are needed to capture biologically important properties of ion channels, but a simpler treatment of ions, the linearized Poisson-Boltzmann (LPB) theory, is often used to model processes such as binding and folding, even in settings where the LPB theory is expected to be inaccurate. This study uses MC simulations to assess the reliability of the LPB theory for such a system, the constrained, anionic active site of HIV protease. We study the distributions of ions in and around the active site, as well as the energetics of displacing ions when a protease inhibitor is inserted into the active site. The LPB theory substantially underestimates the density of counterions in the active site when divalent cations are present. It also underestimates the energy cost of displacing these counterions, but the error is not consequential because the energy cost is less than kBT, according to the MC calculations. Thus, the LPB approach will often be suitable for studying energetics, but the more detailed MC approach is critical when ionic distributions and fluxes are at issue.

Indexed as

Catalytic DomainAlgorithmsBinding SitesComputer SimulationHIV ProteaseHIV Protease InhibitorsIonsModels, ChemicalModels, MolecularMonte Carlo MethodOligopeptidesProtein BindingHIV ProteaseHIV Protease InhibitorsIonskynostatin 272Oligopeptides

Identifiers

PMID19217848
PMCPMC2717253
OpenAlexW2009949723

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.