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In-silico identification and evaluation of plant flavonoids as dengue NS2B/NS3 protease inhibitors using molecular docking and simulation approach.
Pak J Pharm Sci. 2017 Nov; 30(6):2119-2137.PJ

Abstract

Dengue infection is prevailing among the people not only from the developing countries but also from the developed countries due to its high morbidity rate around the globe. Hence, due to the unavailability of any suitable vaccine for rigorous dengue virus (DENV), the only mode of its treatment is prevention. The circumstances require an urgent development of efficient and practical treatment to deal with these serotypes. The severe effects and cost of synthetic vaccines simulated researchers to find anti-viral agents from medicinal plants. Flavonoids present in medicinal plants, holds anti-viral activity and can be used as vaccine against viruses. Therefore, present study was planned to find anti-viral potential of 2500 flavonoids inhibitors against the DENVNS2B/NS3 protease through computational screening which can hinder the viral replication within the host cell. By using molecular docking, it was revealed that flavonoids showed strong and stable bonding in the binding pocket of DENV NS2B/NS3 protease and had strong interactions with catalytic triad. Drug capability and anti-dengue potential of the flavonoids was also evaluated by using different bioinformatics tools. Some flavonoids effectively blocked the catalytic triad of DENV NS2B/NS3 protease and also passed through drug ability evaluation. It can be concluded from this study that these flavonoids could act as potential inhibitors to stop the replication of DENV and there is a need to study the action of these molecules in-vitro to confirm their action and other properties.

Authors+Show Affiliations

Department of Bioinformatics & Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan / College of informatics, Huazhong Agricultural University (HZAU), Wuhan, PR China.Department of Bioinformatics & Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.Fatima Jinnah Medical University, Lahore, Pakistan.Department of Bioinformatics & Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.Department of Bioinformatics & Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.Department of Bioinformatics & Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.Department of Bioinformatics & Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29175781

Citation

Qamar, Muhammad Tahirul, et al. "In-silico Identification and Evaluation of Plant Flavonoids as Dengue NS2B/NS3 Protease Inhibitors Using Molecular Docking and Simulation Approach." Pakistan Journal of Pharmaceutical Sciences, vol. 30, no. 6, 2017, pp. 2119-2137.
Qamar MT, Ashfaq UA, Tusleem K, et al. In-silico identification and evaluation of plant flavonoids as dengue NS2B/NS3 protease inhibitors using molecular docking and simulation approach. Pak J Pharm Sci. 2017;30(6):2119-2137.
Qamar, M. T., Ashfaq, U. A., Tusleem, K., Mumtaz, A., Tariq, Q., Goheer, A., & Ahmed, B. (2017). In-silico identification and evaluation of plant flavonoids as dengue NS2B/NS3 protease inhibitors using molecular docking and simulation approach. Pakistan Journal of Pharmaceutical Sciences, 30(6), 2119-2137.
Qamar MT, et al. In-silico Identification and Evaluation of Plant Flavonoids as Dengue NS2B/NS3 Protease Inhibitors Using Molecular Docking and Simulation Approach. Pak J Pharm Sci. 2017;30(6):2119-2137. PubMed PMID: 29175781.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - In-silico identification and evaluation of plant flavonoids as dengue NS2B/NS3 protease inhibitors using molecular docking and simulation approach. AU - Qamar,Muhammad Tahirul, AU - Ashfaq,Usman Ali, AU - Tusleem,Kishver, AU - Mumtaz,Arooj, AU - Tariq,Quratulain, AU - Goheer,Alina, AU - Ahmed,Bilal, PY - 2017/11/28/entrez PY - 2017/11/28/pubmed PY - 2019/7/30/medline SP - 2119 EP - 2137 JF - Pakistan journal of pharmaceutical sciences JO - Pak J Pharm Sci VL - 30 IS - 6 N2 - Dengue infection is prevailing among the people not only from the developing countries but also from the developed countries due to its high morbidity rate around the globe. Hence, due to the unavailability of any suitable vaccine for rigorous dengue virus (DENV), the only mode of its treatment is prevention. The circumstances require an urgent development of efficient and practical treatment to deal with these serotypes. The severe effects and cost of synthetic vaccines simulated researchers to find anti-viral agents from medicinal plants. Flavonoids present in medicinal plants, holds anti-viral activity and can be used as vaccine against viruses. Therefore, present study was planned to find anti-viral potential of 2500 flavonoids inhibitors against the DENVNS2B/NS3 protease through computational screening which can hinder the viral replication within the host cell. By using molecular docking, it was revealed that flavonoids showed strong and stable bonding in the binding pocket of DENV NS2B/NS3 protease and had strong interactions with catalytic triad. Drug capability and anti-dengue potential of the flavonoids was also evaluated by using different bioinformatics tools. Some flavonoids effectively blocked the catalytic triad of DENV NS2B/NS3 protease and also passed through drug ability evaluation. It can be concluded from this study that these flavonoids could act as potential inhibitors to stop the replication of DENV and there is a need to study the action of these molecules in-vitro to confirm their action and other properties. SN - 1011-601X UR - https://www.unboundmedicine.com/medline/citation/29175781/In_silico_identification_and_evaluation_of_plant_flavonoids_as_dengue_NS2B/NS3_protease_inhibitors_using_molecular_docking_and_simulation_approach_ DB - PRIME DP - Unbound Medicine ER -