Journal
BIOINFORMATICS
Volume 26, Issue 1, Pages 46-52Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp599
Keywords
-
Categories
Funding
- Hokkaido University
Ask authors/readers for more resources
Motivation: Prediction of ligand binding sites of proteins is significant as it can provide insight into biological functions and reaction mechanisms of proteins. It is also a prerequisite for protein-ligand docking and an important step in structure-based drug design. Results: We present a new algorithm, Roll, implemented in a program named POCASA, which can predict binding sites by detecting pockets and cavities of proteins with a rolling sphere. To evaluate the performance of POCASA, a test with the same data set as used in several existing methods was carried out. POCASA achieved a high success rate of 77%. In addition, the test results indicated that POCASA can predict good shapes of ligand binding sites.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available