Recognizing Protein-Ligand Binding Sites by Global Structural Alignment and Local Geometry Refinement
Abstract
Proteins perform functions through interacting with other molecules. However, structural details for most of the protein-ligand interactions are unknown. We present a comparative approach (COFACTOR) to recognize functional sites of protein-ligand interactions using low-resolution protein structural models, based on a global-to-local sequence and structural comparison algorithm. COFACTOR was tested on 501 proteins, which harbor 582 natural and...
Paper Details
Title
Recognizing Protein-Ligand Binding Sites by Global Structural Alignment and Local Geometry Refinement
Published Date
Jun 1, 2012
Journal
Volume
20
Issue
6
Pages
987 - 997
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History