TCBG Seminar
Analysis and Prediction of Protein Structure Based on Delaunay Tessellation Tweet

Dr.
Alex Tropsha
School of Pharmacy
University of North Carolina
Chapel Hill, NC
Monday, October 13, 1997
3:00 pm (CT)
3269 Beckman Institute
Abstract
Delaunay tessellation of a protein (using united C-alpha atom representation of individual residues) generates an aggregate of space-filling, irregular tetrahedra (Delaunay simplices). Statistical analysis of quadruplet residue compositions of all Delaunay simplices in a representative dataset of protein structures leads to a novel four-body nearest neighbor residue potential derived from individual scores for all quadruplets of natural amino acids. Delaunay tessellation provides new measures of sequence-structure compatibility. For instance, 3D-1D Delaunay tessellation profiles can distinguish between correct and (even slightly) erroneous folds (e.g., structure refinement, homology modeling). Delaunay tessellation also provides a new graphical tool for protein structure analysis which allows one to locate and visualize structural cores of folded proteins.
Tea and coffee will be served in R3151 Beckman Institute at 2:15pm.