Article3 Biotech2018
Prediction of binding potential of natural leads against the prioritized drug targets of chikungunya and dengue viruses by computational screening.
Article in 3 Biotech, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Phytomedical Properties ofViruses · 2025Review
- Exploration of potential inhibitors against chikungunya envelope: an in-silico clue.In silico pharmacology · 2025Article
- Prospects ofHeliyon · 2024Article
- Study of kaempferol in the treatment of COVID-19 combined with Chikungunya co-infection by network pharmacology and molecular docking technology.Informatics in medicine unlocked · 2023Article
- Inhibitory Potential of Chromene Derivatives on Structural and Non-Structural Proteins of Dengue Virus.Viruses · 2022Review
- Pharmacological Potential of Flavonoids against Neurotropic Viruses.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Article
- Determination of the interaction between the receptor binding domain of 2019-nCoV spike protein, TMPRSS2, cathepsin B and cathepsin L, and glycosidic and aglycon forms of some flavonols.Turkish journal of biology = Turk biyoloji dergisi · 2021Article
- Docking and QSAR of Aminothioureas at the SARS-CoV-2 S-Protein-Human ACE2 Receptor Interface.Molecules (Basel, Switzerland) · 2020Article
- Antiviral Efficacy of Flavonoids against Enterovirus 71 Infection in Vitro and in Newborn Mice.Viruses · 2019Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current study aimed to assess the binding potential of herbal lead molecules against the prioritized molecular targets of chikungunya virus (CHIKV) and dengue virus (DENV) by computational virtual screening and suggests a novel therapeutic intervention. Based on the metabolic pathway analysis and virulent functions, the non-structural and envelop proteins present in CHIKV and DENV were identified as putative drug targets. The structures of the protein not available in their native forms were computationally predicted by homology modeling. The lead compounds from 43 herbal sources were screened and their drug likeliness and pharmacokinetics properties were computationally predicted. The binding potential of selected phytoligands against the prioritized drug targets were analyzed by molecular docking studies. This study revealed that Kaempferol (3,5,7-trihydroxy-2-(4-hydroxyphenyl)chromen-4-one) and Chymopain (disodium;4,5-dihydroxybenzene-1,3-disulfonate), natural flavonols present in
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.