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The interplay of descriptor-based computational analysis with pharmacophore modeling builds the basis for a novel classification scheme for feruloyl esterases Nature Precedings
D.B.R.K. Gupta Udatha; Irene Kouskoumvekaki; Lisbeth Olsson; Gianni Panagiotou.
One of the most intriguing groups of enzymes, the feruloyl esterases (FAEs), is ubiquitous in both simple and complex organisms. FAEs have gained importance in biofuel, medicine and food industries due to their capability of acting on a large range of substrates for cleaving ester bonds and synthesizing high-added value molecules through esterification and transesterification reactions. During the past two decades extensive studies have been carried out on the production and partial characterization of FAEs from fungi, while much less is known about FAEs of bacterial or plant origin. Initial classification studies on FAEs were restricted on sequence similarity and substrate specificity on just four model substrates and considered only a handful of FAEs...
Tipo: Manuscript Palavras-chave: Biotechnology; Chemistry; Genetics & Genomics; Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4762/version/1
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