PL-PatchSurfer: a novel molecular local surface-based method for exploring protein-ligand interactions.
PL-PatchSurfer: a novel molecular local surface-based method for exploring protein-ligand interactions.
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DOI:
10.3390/ijms150915122
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发表时间:
2014-08-27
影响因子:
5.6
通讯作者:
Kihara D
中科院分区:
文献类型:
--
作者:
Hu B;Zhu X;Monroe L;Bures MG;Kihara D
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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影响因子:
5.6
作者:
Hawkins, Paul C. D.;Nicholls, Anthony
通讯作者:
Nicholls, Anthony
影响因子:
5.8
作者:
Arakaki, AK;Zhang, Y;Skolnick, J
通讯作者:
Skolnick, J
影响因子:
--
作者:
Huang B;Schroeder M
通讯作者:
Schroeder M
影响因子:
7.3
作者:
GOODFORD, PJ
通讯作者:
GOODFORD, PJ
影响因子:
2.9
作者:
Kahraman, Abdullah;Morris, Richard J.;Thornton, Janet M.
通讯作者:
Thornton, Janet M.