Protein Binding Sites Prediction Using Ensembles
Date Issued
2013
Author(s)
Mirceva, Georgina
Abstract
Protein molecules play essential roles in the living organisms. The
knowledge about their functions is very important in order to design new drugs
that could be used to control various processes in the organisms. The determination of the protein functions could be performed by detecting the binding sites
where interactions between proteins occur. In this paper we focus on predicting
the protein binding sites. First, several characteristics of the amino acid residues
are extracted. Then, prediction methods are induced. In this research paper we
consider several classification methods for inducing models. In order to enhance the predictions, we use ensembles, which combine several classification
models. The results show that using ensembles, the prediction power is increased.
knowledge about their functions is very important in order to design new drugs
that could be used to control various processes in the organisms. The determination of the protein functions could be performed by detecting the binding sites
where interactions between proteins occur. In this paper we focus on predicting
the protein binding sites. First, several characteristics of the amino acid residues
are extracted. Then, prediction methods are induced. In this research paper we
consider several classification methods for inducing models. In order to enhance the predictions, we use ensembles, which combine several classification
models. The results show that using ensembles, the prediction power is increased.
Subjects
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