In silico drug target identification and pharmacophore mapping for Leishmania donovani based on metabolic pathways
by Nikita Chordia; Deepak Bhayal; Priyesh Hardia
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 13, No. 4, 2020

Abstract: Leishmania donovani is a protozoan parasite which causes very lethal disease called as visceral leishmaniasis. It is the second killer parasitic disease after malaria. It is transmitted by female sandfly and reported to be spread in 88 countries causes 20,000-30,000 death each year. It is the most neglected tropical disease in terms of drug discovery and development and till now, there is no specific vaccine or drug. We analysed the metabolic pathway of this parasite for identifying potential drug target. The essential node (gene) which is non-homologous to human in the metabolic pathway were considered for network reconstruction. Reconstructed network analysis reveals five drug targets namely: threonine aldolase, Acetyl-CoA acyltransferase, pyruvate orthophosphate dikinase, ATP-binding cassette and P-glycoprotein. These targets are efficient and specific for treating Leishmania donovani parasite. Their pharmacophore is designed and docking studies reveals the action of pharmacophore on these drug targets.

Online publication date: Fri, 06-Nov-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Biology and Drug Design (IJCBDD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com