Antitumor Immunity Reports
A knowledge graph on IFN-I antitumor immunity, constructed from ~26,000 related publications. The page supports both code-based and interactive query interfaces, and integrates multimodal knowledge graph analysis results. This module serves as a powerful knowledge discovery tool for researchers in the field.
Clinical Applications
An IFN-I clinical trial module including ~2,200 trials that integrates information from multiple databases. Users can precisely filter clinical trials of interest by six parameters. This module meets the needs of data-mining for professional researchers, while also provides a accessible and efficient channel for general researchers to study on related information.
Evolution & Comparative Genomics
By integrating multiple sequence alignment, phylogenetic tree, and sequence identity matrix analysis, this module enables comprehensive comparative genomics analysis of IFN-I protein sequences across species. It provides a molecular basis for studying the evolutionary history and functional conservation of the IFN-I protein family.
Statistics
Version History
- 2026/07/15:IFNIKB v1.1: We have mapped the entity and relation data within the "Antitumor Immunity Reports" module to established vocabularies, including MeSH and LitVar. Based on these mappings, we implemented quality control procedures—such as deduplication and error correction—to enhance the reliability of the knowledge graph. Detailed protocols for these steps will be disclosed in the original publication of IFNIKB.
- 2025/09/06:We added "Phylogeny of Organisms" module to introduce all species that involved in this database. Hope our users like this presentation style.
- 2025/05/30:IFNIKB v1.01: We removed three species that were erroneously introduced in the Molecular Information module, and we redesigned the Case Study images in the Handbook & Contact module.
- 2025/03/15:IFNIKB v1.0 is now available online! We welcome public access and appreciate your feedback.
- 2024/12/01:"IFNIKB" was designed and developed by Fubo Ma. By partially integrating the analysis modules of early interferon databases, IFNIKB focuses on the systematic collection of previous research on IFN-I pathways in antitumor immunity and clinical threapy. To achieve this, Ma developed a IFN-I antitumor report knowledge graph and collected clinical report data from multiple databases. Additionally, ~9,900 IFN-I gene sequences from ~660 species was collected to support the analytical modules of the database.
- 2024/04/17:The second early version of "interferon database" (https://interferon.netlify.app/) was maintained by Yangchao Yu. Expanding upon Zhang's original database, this version integrates computational predictions of unannotated IFN-Is within the original species using BLAST. Additionally, Yu has designed a comprehensive graphical interface that enables advanced data visualization, and provides open-access options for data downloading.
- 2022/12/11:The first early version of "interferon database" (http://www.combio-lezhang.online/interferon) was developed and maintained by Lei Zhang. This database compiled extensive sequence data on IFN-I genes and proteins across 98 species. Zhang also developed the core algorithms for rendering multiple sequence alignment, phylogenetic tree construction, and sequence similarity matrix results.
Acknowledgements
