5. Network entropies classification of fungi and bacteria cellulases of interest for biotechnology

Abstract:

Enzymatic hydrolysis is a limiting step in the conversion of lignocellulosic polymeric biomass into bio-ethanol. Searching of novel and more efficient cellulase polymer-degrading components is one of the solutions for improving cellulose hydrolysis. Here, we propose fast multi-target Quantitative Structure-Activity Relationship (mt-QSAR) approach using three models; one for each component of the cellulolytic complex: endoglucanase, exoglucanase, and β-glucosidase. These models are based on Entropy measures (Θk) of protein sequences pseudo-folding in HP-Lattice Networks. The QSAR models developed classified correctly 363 protein sequences downloaded from GenBank with accuracy higher than 85% both in training and validation. Comparable

Año de publicación:

2010

Keywords:

Fuente:

google