Patch-Surfer 2.0 / PL-PatchSurfer2 – Prediction of Binding Ligand for a Protein

Patch-Surfer 2.0 / PL-PatchSurfer2

:: DESCRIPTION

Patch-Surfer is a method used to predict the binding ligand for a protein. The method used the 3 Dimensional Zernike Descriptor (3DZD) and Approximate Patch Position (APP) to describe the features of different patches of the protein pocket. Then retrieve similar pockets in the pocket database based on the similarity of 3DZD and APP between patches of different pockets, so that to predict the binding ligand.

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PL-PatchSurfer2 is a protein ligand virtual screening program that uses local surface matching between ligand and receptor pocket.

::DEVELOPER

Kihara Bioinformatics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser / Linux

:: DOWNLOAD

PL-PatchSurfer2

:: MORE INFORMATION

Citation

PL-PatchSurfer: a novel molecular local surface-based method for exploring protein-ligand interactions.
Hu B, Zhu X, Monroe L, Bures MG, Kihara D.
Int J Mol Sci. 2014 Aug 27;15(9):15122-45. doi: 10.3390/ijms150915122.

Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0.
Zhu X, Xiong Y, Kihara D.
Bioinformatics. 2014 Oct 29. pii: btu724.