Real spherical harmonic expansion coefficients as 3D shape descriptors for protein binding pocket and ligand comparisons
Author(s) -
Richard J. Morris,
Rafaël Najmanovich,
Abdullah Kahraman,
Janet M. Thornton
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti337
Subject(s) - spherical harmonics , computer science , pipeline (software) , bottleneck , function (biology) , similarity (geometry) , software , set (abstract data type) , protein structure , protein data bank (rcsb pdb) , biological system , algorithm , artificial intelligence , mathematics , physics , biology , mathematical analysis , nuclear magnetic resonance , evolutionary biology , embedded system , image (mathematics) , programming language
An increasing number of protein structures are being determined for which no biochemical characterization is available. The analysis of protein structure and function assignment is becoming an unexpected challenge and a major bottleneck towards the goal of well-annotated genomes. As shape plays a crucial role in biomolecular recognition and function, the examination and development of shape description and comparison techniques is likely to be of prime importance for understanding protein structure-function relationships.
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