Evidence map›Paper›PMID 22941539›Full record

ArticleBiointerphases2012

Development of a tuned interfacial force field parameter set for the simulation of protein adsorption to silica glass.

James A Snyder, Tigran Abramyan, Jeremy A Yancey, Aby A Thyparambil, Yang Wei, Steven J Stuart, Robert A Latour

Abstract read
In one paragraph

Article in Biointerphases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

7 authors.

James A SnyderDepartment of Bioengineering, 501 Rhodes Engineering Research Center, Clemson University, Clemson, SC 29634, USA.
Tigran Abramyan
Jeremy A Yancey
Aby A Thyparambil
Yang Wei
Steven J Stuart
Robert A Latour

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2003 to 2019
$17.6M
Force Field Development for Protein Absorption ModelingR01EB006163 · NIBIB · CLEMSON UNIVERSITY · PI LATOUR, ROBERT A · 2006 to 2009
$1.4M
NIBIB NIH HHS EB002027NIBIB NIH HHS P41 EB002027NIBIB NIH HHS R01 EB006163
6 · The paper itself

Abstract

Adsorption free energies for eight host-guest peptides (TGTG-X-GTGT, with X = N, D, G, K, F, T, W, and V) on two different silica surfaces [quartz (100) and silica glass] were calculated using umbrella sampling and replica exchange molecular dynamics and compared with experimental values determined by atomic force microscopy. Using the CHARMM force field, adsorption free energies were found to be overestimated (i.e., too strongly adsorbing) by about 5-9 kcal/mol compared to the experimental data for both types of silica surfaces. Peptide adsorption behavior for the silica glass surface was then adjusted using a modified version of the CHARMM program, which we call dual force-field CHARMM, which allows separate sets of nonbonded parameters (i.e., partial charge and Lennard-Jones parameters) to be used to represent intra-phase and inter-phase interactions within a given molecular system. Using this program, interfacial force field (IFF) parameters for the peptide-silica glass systems were corrected to obtain adsorption free energies within about 0.5 kcal/mol of their respective experimental values, while IFF tuning for the quartz (100) surface remains for future work. The tuned IFF parameter set for silica glass will subsequently be used for simulations of protein adsorption behavior on silica glass with greater confidence in the balance between relative adsorption affinities of amino acid residues and the aqueous solution for the silica glass surface.

Indexed as

Computer SimulationSurface TensionAdsorptionGlassProteinsSilicon DioxideProteinsSilicon Dioxide

Identifiers

PMID22941539
PMCPMC3819814

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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.