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1.
Bioinformatics ; 21(8): 1715-6, 2005 Apr 15.
Article in English | MEDLINE | ID: mdl-15217822

ABSTRACT

UNLABELLED: Voro3D is an original easy-to-use tool, which provides a brand new point of view on protein structures through the three-dimensional (3D) Voronoi tessellations. To construct the Voronoi cells associated with each amino acid by a number of different tessellation methods, Voro3D uses a protein structure file in the PDB format as an input. After calculation, different structural properties of interest like secondary structures assignment, environment accessibility and exact contact matrices can be derived without any geometrical cut-off. Voro3D provides also a visualization of these tessellations superimposed on the associated protein structure, from which it is possible to model a polygonal protein surface using a model solvent or to quantify, for instance, the contact areas between a protein and a ligand. AVAILABILITY: The software executable file for PC using Windows 98, 2000, NT, XP can be freely downloaded at http://www.lmcp.jussieu.fr/~mornon/voronoi.html CONTACT: franck.dupuis@sanofi-aventis.com; jean-paul-mornon@imcp.jussieu.fr.


Subject(s)
Algorithms , Computer Graphics , Imaging, Three-Dimensional/methods , Models, Chemical , Models, Molecular , Proteins/chemistry , Software , User-Computer Interface , Amino Acid Sequence , Computer Simulation , Molecular Sequence Data , Protein Conformation , Structure-Activity Relationship
2.
Proteins ; 55(3): 519-28, 2004 May 15.
Article in English | MEDLINE | ID: mdl-15103616

ABSTRACT

We present a new automatic algorithm, named VoTAP (Voronoï Tessellation Assignment Procedure), which assigns secondary structures of a polypeptide chain using the list of alpha-carbon coordinates. This program uses three-dimensional Voronoï tessellation. This geometrical tool associates with each amino acid a Voronoï polyhedron, the faces of which unambiguously define contacts between residues. Thanks to the face area, for the contacts close together along the primary structure (low-order contacts) a distinction is made between strong and normal ones. This new definition yields new contact matrices, which are analyzed and used to assign secondary structures. This assignment is performed in two stages. The first one uses contacts between residues close together along the primary structure and is based on data collected on a bank of 282 well-refined nonredundant structures. In this bank, associations were made between the prints defined by these low-order contacts and the assignments performed by different automatic methods. The second step focuses on the strand assignment and uses contacts between distant residues. Comparison with several other automatic assignment methods are presented, and the influence of resolution on the assignment is investigated.


Subject(s)
Algorithms , Protein Structure, Secondary , Amino Acids/chemistry , Carbon/chemistry , Models, Molecular , Molecular Structure , Proteins/chemistry
3.
Biochem Biophys Res Commun ; 293(4): 1153-60, 2002 May 17.
Article in English | MEDLINE | ID: mdl-12054496

ABSTRACT

Viral envelope glycoproteins promote infection by mediating fusion between viral and cellular membranes. Fusion occurs after dramatic conformational changes within fusion proteins, leading to the exposure of a short stretch of mostly apolar residues, termed the fusion peptide, which is presumed to insert into the membrane and initiate the fusion process. The typical global composition of fusion peptides, rich in hydrophobic but also in small amino acids such as alanine and glycine, was used here as bait to detect other peptidic segments that can insert into membranes. We so evidenced a similar composition in several cytotoxic peptides, which promote pore formation such as peptides involved in amyloidoses and hydrophobic alpha-hairpins of pore-forming toxins. It is suggested that the structural plasticity observed for several membrane active peptides can be conferred by this particular global amino acid composition, which could be thus used to predict such functional behavior from genome data.


Subject(s)
Cell Membrane/chemistry , Peptides/chemistry , Amino Acid Sequence , Amino Acids/chemistry , Animals , Colicins/chemistry , Databases as Topic , Humans , Models, Molecular , Molecular Sequence Data , Protein Conformation , Protein Structure, Secondary , Protein Structure, Tertiary , Recombinant Fusion Proteins/chemistry , Sequence Homology, Amino Acid , Viral Proteins/chemistry
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