VGSC-DB

VGSC-DB provides a curated database of voltage-gated sodium channel (VGSC/Na_v) modulators and associated experimental annotations to support research and drug discovery targeting Na_v1.1–Na_v1.9.


Key Features:

  • Extensive data collection: Contains 6,055 data records derived from 173 literature references encompassing 3,396 compounds that target nine Na_v subtypes (Na_v1.1–Na_v1.9).
  • Comprehensive record fields: Each record comprises 28 detailed items, including chemical structures, biological activities (IC50/EC50), target specificity, binding site annotations, organism information, and chemical/physical properties.
  • Diverse compound types: Aggregates data for small-molecule compounds, toxins, and their derivatives.
  • Advanced query support: Supports text and structure queries and enables batch querying for large-scale retrieval.

Scientific Applications:

  • Drug discovery: Provides compound and activity data to support development of subtype-selective Na_v modulators.
  • Pharmacology and mechanism studies: Supplies binding site annotations and activity measurements for analysis of modulatory mechanisms across Na_v subtypes.
  • Disease-focused research: Supports investigation of VGSC roles in diseases such as epilepsy, migraine, and ataxia through annotated modulators.
  • Cheminformatics and modeling: Offers chemical structures and physicochemical properties for structure–activity analysis, virtual screening, and modeling.

Methodology:

Data were aggregated from 173 references into 6,055 records covering 3,396 compounds with 28 annotated fields per record; the dataset supports text and structure queries, batch querying, and export in XLSX and SDF formats.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
1/25/2023
Last Updated:
1/25/2023

Operations

Publications

Wang G, Yu J, Du H, Shen C, Zhang X, Liu Y, Zhang Y, Cao D, Pan P, Hou T. VGSC-DB: an online database of voltage-gated sodium channels. Journal of Cheminformatics. 2022;14(1). doi:10.1186/s13321-022-00655-y. PMID:36320030. PMCID:PMC9628066.

PMID: 36320030
PMCID: PMC9628066
Funding: - National Key Research and Development Program of China: 2021YFF1201400 - Natural Science Foundation of Zhejiang Province: LD22H300001, LZ19H300001 - National Natural Science Foundation of China: 22220102001