Thus knowledge base is built specifically for rheumatoid arthritis (RA) target interpretation. Based on RA therapeutic drugs and RA-related evidence from the literature, we applied a three-round screening strategy to curate 64 platform-ready human targets covering four major functional categories. Before docking or downstream analysis, users can explore protein records, associated small-molecule ligands, and PyMOL-derived structural views that support interpretable target assessment.
The database does not begin from generic protein collections. It starts from targets linked to approved RA drugs and evidence from RA-related publications, then narrows them through three rounds of screening. The resulting 64 targets provide a focused and usable RA-oriented set for platform analysis.
Each protein entry is presented as a structured knowledge record. Users can review selected proteins, associated small-molecule ligands, and PyMOL-generated visualizations, with particular attention to the spatial 2D snapshot of the protein and its binding target state. Detailed record pages further provide annotations, structural references, external resources, and downloadable models for deeper exploration.
A small set of cards is shown below as examples of how the knowledge base surfaces interpretable records for later exploration.
This docking module enables researchers to submit compound SMILES, evaluate binding against selected protein targets, and prioritize candidate drugs through quantitative docking scores and visual analysis.
Select any number of platform-supported pre-screened protein targets for molecular docking and compare docking scores across multiple targets within a single workflow.
Analyze docking score data online through a clear and structured interface, helping users understand key results without being overwhelmed by complex output.
This platform supports flexible multi-target docking across platform-supported pre-screened proteins and offers online analysis of docking scores, helping users identify promising compounds and interpret key results with greater ease.