Computational Protein-Protein Docking Reveals the Therapeutic Potential of Kunitz-type Venom against hKv1.2 Binding Sites.


Journal

CNS & neurological disorders drug targets
ISSN: 1996-3181
Titre abrégé: CNS Neurol Disord Drug Targets
Pays: United Arab Emirates
ID NLM: 101269155

Informations de publication

Date de publication:
2019
Historique:
received: 11 10 2018
revised: 13 12 2018
accepted: 05 03 2019
pubmed: 21 3 2019
medline: 29 9 2020
entrez: 21 3 2019
Statut: ppublish

Résumé

Kunitz-type venoms are bioactive proteins isolated from a wide variety of venomous animals. These venoms are involved in protease inhibitory activity or potassium channel blocking activity. Therefore, they are reported as an important source for lead drug candidates towards protease or channel associated diseases like neurological, metabolic and cardiovascular disorders. This study aimed to check the inhibitory action of Kunitz-type venoms against potassium channels using computational tools. Among potassium channels, Human Voltage-Gated Potassium Channel 1.2 (hKv1.2) was used as a receptor whereas Kunitz-type peptides from the venoms of various species were selected as ligand dataset. This study helped in finding the binding interface between the receptor and ligand dataset for their potential therapeutic use in treating potassium channelopathies.

Sections du résumé

BACKGROUND & OBJECTIVE
Kunitz-type venoms are bioactive proteins isolated from a wide variety of venomous animals. These venoms are involved in protease inhibitory activity or potassium channel blocking activity. Therefore, they are reported as an important source for lead drug candidates towards protease or channel associated diseases like neurological, metabolic and cardiovascular disorders.
METHODS
This study aimed to check the inhibitory action of Kunitz-type venoms against potassium channels using computational tools.
RESULTS
Among potassium channels, Human Voltage-Gated Potassium Channel 1.2 (hKv1.2) was used as a receptor whereas Kunitz-type peptides from the venoms of various species were selected as ligand dataset.
CONCLUSION
This study helped in finding the binding interface between the receptor and ligand dataset for their potential therapeutic use in treating potassium channelopathies.

Identifiants

pubmed: 30892167
pii: CNSNDDT-EPUB-97423
doi: 10.2174/1871527318666190319140204
doi:

Substances chimiques

Kv1.2 Potassium Channel 0
Ligands 0
Serine Proteinase Inhibitors 0
Venoms 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

382-404

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Rida Khalid (R)

Department of Biosciences, COMSATS University, Islamabad, Park Road, Chak Shahzad Islamabad-45550, Pakistan.

Nighat Noureen (N)

Department of Biosciences, COMSATS University, Islamabad, Park Road, Chak Shahzad Islamabad-45550, Pakistan.

Mohammad Amjad Kamal (MA)

King Fahd Medical Research Center, King Abdulaziz University, P.O. Box 80216, Jeddah 21589, Saudi Arabia.
Enzymoic, 7 Peterlee Pl, Hebersham, NSW 2770, Sydney, Australia.

Sidra Batool (S)

Department of Biosciences, COMSATS University, Islamabad, Park Road, Chak Shahzad Islamabad-45550, Pakistan.

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Classifications MeSH