ArticleCombinatorial chemistry & high throughput screening2016
An In-Silico Investigation of Phytochemicals as Antiviral Agents Against Dengue Fever.
Article in Combinatorial chemistry & high throughput screening, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 85 citations in OpenAlex.
- Exploring the Lesser-Known Bioactive Natural Products of Plant Species of the GenusPlants (Basel, Switzerland) · 2025Review
- Repurposing of FDA-approved drugs against oligomerization domain of dengue virus NS1 protein: a computational approach.Molecular diversity · 2025Article
- In Silico Evaluation of Potential Hit Molecules Against Multiple Serotypes of Dengue Virus Envelope Glycoprotein.Molecules (Basel, Switzerland) · 2025Article
- Repurposing of drugs targeting heparan sulphate binding site of dengue virus envelope protein: an in silico competitive binding study.Molecular diversity · 2025Article
- Anti-dengue potential and mosquitocidal effect of marine green algae-stabilized Mn-doped superparamagnetic iron oxide nanoparticles (Mn-SPIONs): an eco-friendly approach.Environmental science and pollution research international · 2024Article
- Machine learning and molecular docking prediction of potential inhibitors against dengue virus.Frontiers in chemistry · 2024Article
- Exploring the inhibitory potential ofRSC advances · 2023Article
- The Current Landscape of Bioactive Molecules against DENV: A Systematic Review.Evidence-based complementary and alternative medicine : eCAM · 2023Review
- Inhibitory Potential of Chromene Derivatives on Structural and Non-Structural Proteins of Dengue Virus.Viruses · 2022Review
- Targeting the DENV NS2B-NS3 protease with active antiviral phytocompounds: structure-based virtual screening, molecular docking and molecular dynamics simulation studies.Journal of molecular modeling · 2022Article
- Chemical biology and medicinal chemistry of RNA methyltransferases.Nucleic acids research · 2022Article
- Molecular Characterization and Identification of Potential Inhibitors for 'E' Protein of Dengue Virus.Viruses · 2022Article
- Pharmacological Effects and Underlying Mechanisms of Licorice-Derived Flavonoids.Evidence-based complementary and alternative medicine : eCAM · 2022Review
- Traditional Knowledge to Contemporary Medication in the Treatment of Infectious Disease Dengue: A Review.Frontiers in pharmacology · 2022Review
- Development of Effective Therapeutic Molecule from Natural Sources against Coronavirus Protease.International journal of molecular sciences · 2021Article
- Alkaloids in Contemporary Drug Discovery to Meet Global Disease Needs.Molecules (Basel, Switzerland) · 2021Review
- Flavonoids inACS omega · 2021Review
- Oligonucleotide-Based Approaches to Inhibit Dengue Virus Replication.Molecules (Basel, Switzerland) · 2021Review
- Phytoconstituents as Lead Compounds for Anti-Dengue Drug Discovery.Advances in experimental medicine and biology · 2021Article
- Challenges, Advances and Opportunities in Exploring Natural Products to Control Arboviral Disease Vectors.Frontiers in chemistry · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A virtual screening analysis of our library of phytochemical structures with dengue virus protein targets has been carried out using a molecular docking approach. A total of 2194 plant-derived secondary metabolites have been docked. This molecule set comprised of 290 alkaloids (68 indole alkaloids, 153 isoquinoline alkaloids, 5 quinoline alkaloids, 13 piperidine alkaloids, 14 steroidal alkaloids, and 37 miscellaneous alkaloids), 678 terpenoids (47 monoterpenoids, 169 sesquiterpenoids, 265 diterpenoids, 81 steroids, and 96 triterpenoids), 20 aurones, 81 chalcones, 349 flavonoids, 120 isoflavonoids, 74 lignans, 58 stilbenoids, 169 miscellaneous polyphenolic compounds, 100 coumarins, 28 xanthones, 67 quinones, and 160 miscellaneous phytochemicals. Dengue virus protein targets examined included dengue virus protease (NS2B-NS3pro), helicase (NS3 helicase), methyltransferase (MTase), RNA-dependent RNA polymerase (RdRp), and the dengue virus envelope protein. Polyphenolic compounds, flavonoids, chalcones, and other phenolics were the most numerous of the strongly docking ligands for dengue virus protein targets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.