Title :
Comparison of RSH with shape signatures and MACT technique for shape analysis of HIV-1 protein
Author :
Reddy, Alla S. ; Desai, Himali ; Kumar, Sunil ; Garg, Rajni
Author_Institution :
Electr. & Comput. Eng. Dept., San Diego State Univ., San Diego, CA, USA
Abstract :
A comparative analysis of three important shape analysis techniques viz. real spherical harmonic (RSH) coefficient, shape signatures based on ray-tracing, and multi-resolution attributed contour tree (MACT) is performed to understand their strengths and weaknesses in terms of their shape description power and computational ability. The analysis is performed on anti-HIV ligands extracted from NCI database and the binding pockets of the HIV-1 protease proteins extracted from PDB. The results demonstrate that the RSH technique is more sensitive to capture the detailed shape changes of the ligand molecules and protein binding pockets over the other two techniques.
Keywords :
bioinformatics; biological techniques; data mining; decision trees; microorganisms; molecular biophysics; molecular configurations; proteins; ray tracing; HIV-1 protease protein binding pockets; HIV-1 protein shape analysis; MACT technique; NCI database; PDB; RSH; antiHIV ligands; computational ability; multiresolution attributed contour tree; ray tracing based shape signatures; real spherical harmonic coefficient; shape analysis techniques; shape description power; Databases; Drugs; Electric potential; Electrostatics; Proteins; Shape; Three dimensional displays; HIV-1 Protease Proteins; MACT; RSH; Shape Analysis; Shape Signatures;
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012 IEEE Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-1190-8
DOI :
10.1109/CIBCB.2012.6217210