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PMID: 9741841 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Analytical shape computation of macromolecules: II. Inaccessible cavities in proteins.

Proteins ·Vol. 33 ·No. 1 ·1998-10-01 ·Pages 18-29

Liang J, Edelsbrunner H, Fu P, Sudhakar PV, Subramaniam S

Abstract

The structures of proteins are well-packed, yet they contain numerous cavities which play key roles in accommodating small molecules, or enabling conformational changes. From high-resolution structures it is possible to identify these cavities. We have developed a precise algorithm based on alpha shapes for measuring space-filling-based molecular models (such as van der Waals, solvent accessible, and molecular surface descriptions). We applied this method for accurate computation of the surface area and volume of cavities in several proteins. In addition, all of the atoms/residues lining the cavities are identified. We use this method to study the structure and the stability of proteins, as well as to locate cavities that could contain structural water molecules in the proton transport pathway in the membrane protein bacteriorhodopsin.

MeSH Terms
Algorithms Bacteriorhodopsins/chemistry Macromolecular Substances Mathematical Computing Models, Molecular Myoglobin/chemistry Protein Conformation Ribonucleases/chemistry
Chemicals
Macromolecular Substances Myoglobin Bacteriorhodopsins Ribonucleases
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Liang J
National Center for Supercomputing Applications, Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana 61801, USA.
Edelsbrunner H
Fu P
Sudhakar P V
Subramaniam S
Article Info
Journal
Proteins
Abbr.
Proteins
ISSN
0887-3585
Published
1998-10-01
Pages
18-29
Language
English
Region
United States
NLM ID
8700181
Subset
IM
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