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R01NIH · NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESNIH

Theory and Simulation of Local Electroneutrality and Ion Atmospheres in Biological Systems

Smith, Paul E (Contact)·Kansas State University, KS·2023–2027·ACTIVE
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INSTITUTION

Kansas State University, KS

PRINCIPAL INVESTIGATOR

Smith, Paul E (Contact)

FUNDING

$296K

YEAR

2023

MOONBASE SCORE

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Abstract

Project Summary Ions are ubiquitous in nature and all charged biomolecules subsequently develop an ion atmosphere. Unfortunately, our understanding of ion atmospheres at the atomic level is rather limited, and this severely impacts our ability to determine and rationalize protein-protein and protein-DNA interactions, for example. Here, we propose to use the Kirkwood-Buff theory of solutions, coupled with local electroneutrality constraints, to generate an improved view of the ion atmosphere around a variety of biomolecules. The results generate exact relationships between the distribution of anions and cations around charged biomolecules and provide a way to separate the ion contributions to electroneutrality from those related to the preferential interaction of a salt for a biomolecule. A series of theoretical and computer simulation studies are proposed to achieve the two major aims of the project. Aim 1: To Develop an Improved Description of Ion Atmospheres in Biological Systems. Aim 2: To Determine the Consequences of Local Electroneutrality Requirements. The results from these studies will provide a new view of the structure and extent of ion atmospheres around any biomolecular ion and will improve our interpretation of the results from several biophysical techniques, such as osmotic pressure and ion counting studies. Subsequently, this will impact our understanding of a wide range of systems of importance for the study of many health-related diseases.

R01NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESMacromolecular Structure and Function A Study Section[MSFA]understandingchargedcoupledlevelhealthvarietysystemsextentlimitedsubsequentlydevelopsummarysfddiseasesachievedeterminecontributionsatmosphererelationshipsseparatepreferential

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