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Title

Molecular docking analysis of cellulose from Bacillus species with cellotetraose

 

Authors

Nikita Chordia Golchha1,*, Pratibha Maravi2, Hasanain Abdulhameed Odhar3 & Afreen Shaikh4

 

Affiliation

1Department of Computer Science and Biosciences, Shri Vaishnav Institute of Management and Science, Gumasta Nagar, Indore- 452009, India; 2Department of Botany, Government Holkar Science College, Bhawarkuan, A.B. Road, Indore-452001, India; 3Department of Pharmacy, Al-Zahrawi University College, Karbala, Iraq; 4Department of Biosciences, Mata Gujri College of Professional Studies, A.B. Road, Indore- 452001, India; *Corresponding author

 

Email

Nikita ChordiaGolchha - E - mail: nikita.chordia25@gmail.com
Pratibha Maravi - E - mail: pratibha.maravi@gmail.com
Hasanain Abdulhameed Odhar - E - mail: hodhar3@gmail.com
Afreen Shaikh - E - mail: afreenshaikh8818@gmail.com

 

Article Type

Research Article

 

Date

Received May 1, 2025; Revised May 31, 2025; Accepted May 31, 2025, Published May 31, 2025

 

Abstract

Cellulose is an unbranched glucose polymer and has great potential for bioconversion to value-added bio products. Cellulose is the most dominating agricultural waste that can be degraded by cellulase which is produced by cellulolytic bacteria such as the Bacillus species. The binding efficacy with the substrate suggests the choice of the substrate that can be used for various industrial applications such as biofuel production, food and feed industry, brewing, pulp and paper, textile, laundry and agriculture. Therefore, it is of interest to describe the molecular docing analysis of cellobiose, cellotetriose, cellotetraose and laminaribiose with different cellulosederivatives such as endo-1,4-beta-D-glucanase, exo-1,4-beta-D-glucanase and beta-glucosidase. Thus, the molecular binding features of cellulase with cellotetraose are reported.

 

Keywords

Cellulase, cellobiose, cellotriose, cellotetraose, laminaribiose, docking, binding, endocellulase

 

Citation

Golchha et al. Bioinformation 21(5): 947-951 (2025)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.