Efficient shape descriptors for feature extraction in 3D protein structures.
Structural Genomics initiatives are generating an increasing number of protein structures with very limited biochemical characterization. Characterization of a protein's function and understanding the specific nature of a protein's binding is a critical part of both protein engineering and structure-based drug discovery. The accurate detection of binding site in these protein structures can be valuable in determining its function. As shape plays a crucial role in bimolecular recognition and function, the development of shape analysis techniques is important for understanding protein structure-function relationships. This paper describes the use of the continuous wavelet transforms (CWT) for characterizing shape features of 3D protein structures. The goal is to explore the CWT as a multiscale tool to generate rotation- and translation-invariant shape features.
Ranganath
Aruna
A
Aurora's Scientific Technological and Research Academy, Hyderabad-500005, Andhra Pradesh (st), India. aruna_ranganath@yahoo.com
Shet
K Chandra Shekar
KC
Vidyavathi
Nagardone
N
D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry*; D001665:Binding Sites; D003198:Computer Simulation; D008024:Ligands; D008956:Models, Chemical; D011485:Protein Binding; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D012984:Software; D013329:Structure-Activity Relationship
D000596:Amino Acids; D008024:Ligands; D011506:Proteins