DocumentCode
33864
Title
Isolating Influential Regions of Electrostatic Focusing in Protein and DNA Structure
Author
Blumenthal, Sebastian ; Yisheng Tang ; Wenjie Yang ; Chen, Brian Y.
Volume
10
Issue
5
fYear
2013
fDate
Sept.-Oct. 2013
Firstpage
1188
Lastpage
1198
Abstract
Electrostatic focusing is a general phenomenon that occurs in cavities and grooves on the molecular surface of biomolecules. Narrow surface features can partially shield charged atoms from the high-dielectric solvent, enhancing electrostatic potentials inside the cavity and projecting electric field lines outward into the solvent. This effect has been observed in many instances and is widely considered in the human examination of molecular structure, but it is rarely integrated into the digital representations used in protein structure comparison software. To create a computational representation of electrostatic focusing, that is compatible with structure comparison algorithms, this paper presents an approach that generates three-dimensional solids that approximate regions where focusing occurs. We verify the accuracy of this representation against instances of focusing in proteins and DNA. Noting that this representation also identifies thin focusing regions on the molecular surface that are unlikely to affect binding, we describe a second algorithm that conservatively isolates larger focusing regions. The resulting 3D solids can be compared with Boolean set operations, permitting a new range of analyses on the regions where electrostatic focusing occurs. They also represent a novel integration of molecular shape and electrostatic focusing into the same structure comparison framework.
Keywords
Boolean functions; DNA; bioelectric potentials; bioinformatics; biological effects of fields; biomolecular effects of radiation; molecular configurations; proteins; Boolean set operations; DNA structure; biomolecules; electrostatic focusing; electrostatic potentials; high-dielectric solvent; influential region isolation; molecular shape; protein structure; structure comparison algorithms; three-dimensional solids; DNA; Electric potential; Electrostatics; Lattices; Proteins; Solid geometry; Splines (mathematics); Electrostatic focusing; constructive solid geometry; protein structure comparison; structural bioinformatics;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2013.124
Filename
6616544
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