Integrative computational approach for genome-based study of microbial lipid-degrading enzymes
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Publication Details
Author list: Vorapreeda T., Thammarongtham C., Laoteng K.
Publisher: Springer
Publication year: 2016
Journal: World Journal of Microbiology and Biotechnology (0959-3993)
Volume number: 32
Issue number: 7
ISSN: 0959-3993
eISSN: 1573-0972
Languages: English-Great Britain (EN-GB)
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Abstract
Lipid-degrading or lipolytic enzymes have gained enormous attention in academic and industrial sectors. Several efforts are underway to discover new lipase enzymes from a variety of microorganisms with particular catalytic properties to be used for extensive applications. In addition, various tools and strategies have been implemented to unravel the functional relevance of the versatile lipid-degrading enzymes for special purposes. This review highlights the study of microbial lipid-degrading enzymes through an integrative computational approach. The identification of putative lipase genes from microbial genomes and metagenomic libraries using homology-based mining is discussed, with an emphasis on sequence analysis of conserved motifs and enzyme topology. Molecular modelling of three-dimensional structure on the basis of sequence similarity is shown to be a potential approach for exploring the structural and functional relationships of candidate lipase enzymes. The perspectives on a discriminative framework of cutting-edge tools and technologies, including bioinformatics, computational biology, functional genomics and functional proteomics, intended to facilitate rapid progress in understanding lipolysis mechanism and to discover novel lipid-degrading enzymes of microorganisms are discussed. ฉ 2016, Springer Science+Business Media Dordrecht.
Keywords
Homology-based analysis, Lipid-degrading enzyme, Molecular modeling, Omics analysis
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