Evidence map›Paper›PMID 25028242›Full record

ArticleColloids and surfaces. B, Biointerfaces2014

Perspectives on the simulation of protein-surface interactions using empirical force field methods.

Robert A Latour

Abstract read
In one paragraph

Article in Colloids and surfaces. B, Biointerfaces, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

1 author.

Robert A LatourDepartment of Bioengineering, Clemson University, Clemson, SC 29634, USA. Electronic address: latourr@clemson.edu.

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2003 to 2019
$17.6M
RESBIO - the Technology Resource for Polymeric BiomaterialsP41EB001046 · NIBIB · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI KOHN, JOACHIM B. · 2003 to 2017
$17.0M
Targeted Nano-therapeutics for Neural RegenerationP20GM103444 · NIGMS · CLEMSON UNIVERSITY · PI MARKWALD, ROGER R, VYAVAHARE, NAREN R · 2012 to 2018
$14.9M
UNDERSTANDING AND CONTROLLING TISSUE-SPECIFIC VASCULAR PATTERNINGP20RR021949 · NCRR · CLEMSON UNIVERSITY · PI MARKWALD, ROGER R · 2009 to 2011
$5.2M
Nanoscale Investigation of Protein-Surface InteractionsR01GM074511 · NIGMS · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2006 to 2009
$2.3M
Force Field Development for Protein Absorption ModelingR01EB006163 · NIBIB · CLEMSON UNIVERSITY · PI LATOUR, ROBERT A · 2006 to 2009
$1.4M
YBCO Coated Conductors for 25 Tesla NMR MagnetsR44EB000616 · NIBIB · AMERICAN SUPERCONDUCTOR CORPORATION · PI THIEME, CORNELIS L. · 2003 to 2004
$750k
NCRR NIH HHS P20 RR021949NCRR NIH HHS P20RR021949NIBIB NIH HHS P41 EB001046NIBIB NIH HHS P41 EB002027NIBIB NIH HHS R01 EB00616NIBIB NIH HHS R01 EB006163NIBIB NIH HHS R44 EB000616NIGMS NIH HHS P20 GM103444NIGMS NIH HHS R01 GM074511NIGMS NIH HHS R01GM074511-01A1
6 · The paper itself

Abstract

Protein-surface interactions are of fundamental importance for a broad range of applications in the fields of biomaterials and biotechnology. Present experimental methods are limited in their ability to provide a comprehensive depiction of these interactions at the atomistic level. In contrast, empirical force field based simulation methods inherently provide the ability to predict and visualize protein-surface interactions with full atomistic detail. These methods, however, must be carefully developed, validated, and properly applied before confidence can be placed in results from the simulations. In this perspectives paper, I provide an overview of the critical aspects that I consider being of greatest importance for the development of these methods, with a focus on the research that my combined experimental and molecular simulation groups have conducted over the past decade to address these issues. These critical issues include the tuning of interfacial force field parameters to accurately represent the thermodynamics of interfacial behavior, adequate sampling of these types of complex molecular systems to generate results that can be comparable with experimental data, and the generation of experimental data that can be used for simulation results evaluation and validation.

Indexed as

Molecular Dynamics SimulationProteinsSurface PropertiesThermodynamicsProteinsMolecular simulationProtein adsorption

Identifiers

PMID25028242
PMCPMC4252847

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Registered trials

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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.