Article ; Online: PL-PatchSurfer: a novel molecular local surface-based method for exploring protein-ligand interactions.
International journal of molecular sciences
2014 Volume 15, Issue 9, Page(s) 15122–15145
Abstract: Structure-based computational methods have been widely used in exploring protein-ligand interactions, including predicting the binding ligands of a given protein based on their structural complementarity. Compared to other protein and ligand ... ...
Abstract | Structure-based computational methods have been widely used in exploring protein-ligand interactions, including predicting the binding ligands of a given protein based on their structural complementarity. Compared to other protein and ligand representations, the advantages of a surface representation include reduced sensitivity to subtle changes in the pocket and ligand conformation and fast search speed. Here we developed a novel method named PL-PatchSurfer (Protein-Ligand PatchSurfer). PL-PatchSurfer represents the protein binding pocket and the ligand molecular surface as a combination of segmented surface patches. Each patch is characterized by its geometrical shape and the electrostatic potential, which are represented using the 3D Zernike descriptor (3DZD). We first tested PL-PatchSurfer on binding ligand prediction and found it outperformed the pocket-similarity based ligand prediction program. We then optimized the search algorithm of PL-PatchSurfer using the PDBbind dataset. Finally, we explored the utility of applying PL-PatchSurfer to a larger and more diverse dataset and showed that PL-PatchSurfer was able to provide a high early enrichment for most of the targets. To the best of our knowledge, PL-PatchSurfer is the first surface patch-based method that treats ligand complementarity at protein binding sites. We believe that using a surface patch approach to better understand protein-ligand interactions has the potential to significantly enhance the design of new ligands for a wide array of drug-targets. |
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MeSH term(s) | Algorithms ; Binding Sites ; Ligands ; Molecular Docking Simulation/methods ; Protein Binding ; Proteins/chemistry ; Proteins/metabolism ; Small Molecule Libraries/chemistry ; Small Molecule Libraries/pharmacology |
Chemical Substances | Ligands ; Proteins ; Small Molecule Libraries |
Language | English |
Publishing date | 2014-08-27 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. |
ZDB-ID | 2019364-6 |
ISSN | 1422-0067 ; 1422-0067 ; 1661-6596 |
ISSN (online) | 1422-0067 |
ISSN | 1422-0067 ; 1661-6596 |
DOI | 10.3390/ijms150915122 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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