Kaveh Kavousi

TL;DR: The bi-gram features extracted from the Position Specific Scoring Matrix (PSSM) of proteins are used in predicting drug-target interactions to demonstrate the high-confidence prediction ability of the Bigram-PSSM model in terms of several performance indicators specifically for enzymes and ion channels.

TL;DR: The metagenomic data obtained from camel rumen was considered as the potential source of microbial xylanase enzymes with proper activity in extreme conditions and showed that the effective use of enzymes in fiber separation may reduce the cost of carton paper production.

TL;DR: It is indicated that the synergistic combination of the 13CNMR features with the physicochemical descriptors enables the proposed ensemble mechanism to improve the prediction performance of active AMP sequences.

TL;DR: In this article, the authors attempted to develop a cocktail of novel thermostable cellulases with high catalytic ability and stability in extreme pH and high temperatures, and the results indicate the probable applicability of the enzyme cocktail in numerous industries, specifically biorefineries and lignocellulose bioconversion based technologies.

TL;DR: The results demonstrated the power of in silico analysis to discover novel alkali-thermostable xylanases, effective for the bioconversion of lignocellulosic biomass.