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
Link To Document :
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