Computer-Assisted Automatic Classifications, Storage, Queries and Functional Assignments of Orthologs and In-Paralogs Proteins

Title: Computer-Assisted Automatic Classifications, Storage, Queries and Functional Assignments of Orthologs and In-Paralogs Proteins

Volume: 4 Issue: 2

Author(s): David Thybert, Stephane Avner, Celine Lucchetti-Miganeh and Frederique Barloy-Hubler

Affiliation:

Keywords: Clustering, classification, ortholog, in-paralog, database

Abstract: The automatic classification of proteins into groups is one of the major objectives for mining the increasing amount of data released by genomic and metagenomic sequencing projects. Ortholog and in-paralog accurate classification is motivated by the notion of descriptive biology. Facing the tremendous quantity of very complex protein datasets, one way to understand biological function, structure conservation as well as evolution history is to associate or group them into classes according to their sequence homology, function, folding motifs and structural features. In this review, we will explore and compare the different approaches and databases of automatic clustering and classification developed in the last years. We will also discuss the impact of hierarchies and clusters of proteins to protein function and phylogeny predictions.

Cite this article as:

Thybert David, Avner Stephane, Lucchetti-Miganeh Celine and Barloy-Hubler Frederique, Computer-Assisted Automatic Classifications, Storage, Queries and Functional Assignments of Orthologs and In-Paralogs Proteins, Current Bioinformatics 2009; 4 (2) . https://dx.doi.org/10.2174/157489309788184800