Evidence map›Paper›PMID 21751805›Full record

ArticleThe journal of physical chemistry. B2011

Theoretical assessment of the oligolysine model for ionic interactions in protein-DNA complexes.

Marcia O Fenley, Cristina Russo, Gerald S Manning

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

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  11. Problems of robustness in Poisson-Boltzmann binding free energies.Journal of chemical theory and computation · 2015
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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

3 authors at 2 institutions in 1 country.

Marcia O FenleyInstitute of Molecular Biophysics+, Florida State University, Tallahassee, Florida 32306, USA. mfenley@sb.fsu.edu
Cristina Russo
Gerald S Manning
Florida State University · USRutgers, The State University of New Jersey · US

Funding

Advanced Electrostatic Computation in Molecular DynamicsR44GM073391 · NIGMS · CONTINUUM DYNAMICS, INC. · PI BOSCHITSCH, ALEXANDER H · 2010 to 2011
$739k
Howard Hughes Medical InstituteNIGMS NIH HHS 5R44GM073391-03NIGMS NIH HHS R44 GM073391
6 · The paper itself

Abstract

The observed salt dependence of charged ligand binding to polyelectrolytes, such as proteins to DNA or antithrombin to heparin, is often interpreted by means of the "oligolysine model." We review this model as derived entirely within the framework of the counterion condensation theory of polyelectrolytes with no introduction of outside assumptions. We update its comparison with experimental data on the structurally simple systems for which it was originally intended. We then compute the salt dependence of the binding free energy for a variety of protein-DNA complexes with nonlinear Poisson-Boltzmann (NLPB) simulation methods. The results of the NLPB calculations confirm the central prediction of the oligolysine model that the net charge density of DNA remains invariant to protein binding. Specifically, when a cationic protein residue penetrates the layer of counterions condensed on DNA, a counterion is released to bulk solution, and when an anionic protein residue penetrates the condensed counterion layer, an additional counterion is condensed from bulk solution. We also conclude, however, that the cumulative effect of charged protein residues distant from the binding interface makes a significant contribution to the salt dependence of binding, an observation not accommodated by the oligolysine model.

Indexed as

DNAIonsLysineModels, MolecularProteinsStatic ElectricityDNAIonsLysineProteins

Identifiers

PMID21751805
PMCPMC3156561
OpenAlexW2091751618

What OpenQuestion holds

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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.