Zika Virus Phenotypic Resistance Data for NS4B Mutations

Phenotypic resistance data from a high-throughput screening study of Zika virus (ZIKV). The dataset likely contains results from cytopathic effect-based assays, resistant virus selection studies, and biophysical binding experiments, published by Donghoon Chung in 2026. It focuses on mutations in the NS4B protein that confer resistance to novel benzamide antiviral leads.

Use Cases

• Study antiviral drug resistance mechanisms based on NS4B mutations mentioned in the description
• Identify potential targets for pan-flavivirus therapeutics based on NS4B protein interference
• Compare resistance profiles of novel benzamide leads against known agents like NITD-008
• Analyze the functional role of the C-terminus of NS4B based on mapped resistance mutations

Strengths

• Data is associated with compounds demonstrating specific potency (EC50 values 40–400 nM).
• Findings are based on multiple experimental methods: phenotypic screening, time-of-addition assays, and resistant virus selection.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Dataset is very small (5.5 KB), indicating limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Donghoon Chung

Collection Method

Phenotypic, cytopathic effect-based high-throughput screening followed by medicinal chemistry optimization and resistant virus selection.

Time Range

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Freshness

Last updated 2026-04-03 18:00:31; freshness should be verified.

Geography

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