Establishing Ligands for Tuberculosis Gene Receptor Using In-Silico Methods

DOI

10.2991/978-94-6463-294-1_18How to use a DOI?

Keywords

Melioidosis; Burkholderia pseudomallei; Whitmore’s disease; Bioinformatics; Docking; Phytocompound

Abstract

Mycobacterium tuberculosis is a species of pathogenic bacteria of the family Mycobacteriaceae and the causative agent of tuberculosis. First discovered in 1882 by Robert Koch, M. tuberculosis has an unusual, waxy coating on its cell surface primarily due to the presence of mycolic acid. There are two forms tuberculosis (TB): Latent TB and Active TB. TB bacteria can live in the body without making you sick. This is called latent TB infection. People with latent TB infection: Have no symptoms. Active TB disease is a contaginous. That means it can be spreads from one person to another. It is most often spread through the air. The germs may enter the air when person with TB disease of the lungs or throat cough or seenzes people nearby breathe Active in these germs and get infected. The FASTA sequence of the (genes) was retrieved from Genbank. Next, we modelled the 3d structure of the FASTA protein sequence using modeller. The best model was selected using Ramachandran plot. Phytocompounds from medicinal plants is considered Ocimum sanctum, Tinospora cordifolia, Curcuma longa, Eclipta prostrate, Elettaria cardamomum as considered as novel drug leads is retrieved from PUBCHEM database. The phytocompounds are checked for drug-like properties using molinspiration software. The compounds having no violation was considered for further docking studies. The phytocompounds kaempferol, fisetin, piperin having least docking score and most interactions is considered as the drug leads for Tuberculosis. Further receptor ligand binding assay studies will be done to establish the compound as drug for the above disease.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shraddha Lavhale
AU  - Rehan Khan
AU  - Preenon Bagchi
PY  - 2023
DA  - 2023/11/17
TI  - Establishing Ligands for Tuberculosis Gene Receptor Using In-Silico Methods
BT  - Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)
PB  - Atlantis Press
SP  - 212
EP  - 231
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-294-1_18
DO  - 10.2991/978-94-6463-294-1_18
ID  - Lavhale2023
ER  -