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A simple method for finding a protein's ligand-binding pockets.

ABSTRACT: BACKGROUND: This paper provides a simple and rapid method for a protein-clustering strategy. The basic idea implemented here is to use computational geometry methods to predict and characterize ligand-binding pockets of a given protein structure. In addition to geometrical characteristics of the protein structure, we consider some simple biochemical properties that help recognize the best candidates for pockets in a protein's active site. RESULTS: Our results are shown to produce good agreement with known empirical results. CONCLUSIONS: The method presented in this paper is a low-cost rapid computational method that could be used to classify proteins and other biomolecules, and furthermore could be useful in reducing the cost and time of drug discovery.

SUBMITTER: Saberi Fathi SM

PROVIDER: S-EPMC4112621 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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A simple method for finding a protein's ligand-binding pockets.

Saberi Fathi Seyed Majid SM Tuszynski Jack A JA

BMC structural biology 20140719

<h4>Background</h4>This paper provides a simple and rapid method for a protein-clustering strategy. The basic idea implemented here is to use computational geometry methods to predict and characterize ligand-binding pockets of a given protein structure. In addition to geometrical characteristics of the protein structure, we consider some simple biochemical properties that help recognize the best candidates for pockets in a protein's active site.<h4>Results</h4>Our results are shown to produce go ...[more]

PMID: 25038637

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