IIUM Repository

In silico design in designing xylanase for biobleaching industry

Noorbatcha, Ibrahim Ali and Abdul Hadi, Muaz and Ismail, Ahmad Faris and Mohd. Salleh, Hamzah (2009) In silico design in designing xylanase for biobleaching industry. Journal of Applied Sciences, 9 (17). pp. 3184-3187. ISSN 1812-5662 (O), 1812-5654 (P)

PDF - Published Version
Download (274kB) | Preview


The use of hemicellulolytic enzymes has recently attracted considerable interest as a substitute for chlorine chemicals in pulp bleaching. The challenges in incorporating enzyme to the bleaching system are to have a stable and active xylanase at high temperatures and higher alkaline pH conditions. In this study, we have used computational methods to analyze the structural factors responsible for the activity and themostability of Bacillus circulans xylanase which have been identified as one of the promising xylanase source to treat the pulp before bleaching it through the conventional bleaching sequences. Simulated point mutation shows that arginine substitution potentially increased the number of hydrogen bond; correlate with the xylanase activity and some changes in amino acid sequence specifically to the α-helix and β-sheet appeared to be promising in improving thermostability of xylanase. This in silico method results can be used to develop new efficient xylanase for pulp bleaching industry.

Item Type: Article (Journal)
Additional Information: 3704/506
Uncontrolled Keywords: Bacillus circulans xylanase ; in silico mutagenesis ; enzyme mutation ; point mutation ; thermostable xylanase
Subjects: T Technology > TP Chemical technology > TP248.13 Biotechnology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User: Prof. Dr. Ibrahim Ali Noorbatcha
Date Deposited: 08 Jul 2011 13:56
Last Modified: 29 Jun 2020 14:45
URI: http://irep.iium.edu.my/id/eprint/506

Actions (login required)

View Item View Item


Downloads per month over past year