Business Analytics Dashboard
Build a business analytics dashboard in Reflex with Python, database-ready workflows, polished UI, and tools for KPI reporting and revenue tracking.
Analytics
Protein Ligand Visualization
Build a protein ligand visualization in Reflex with Python, database-ready workflows, polished UI, and tools for molecular review and ligand comparison.
Analytics
Use templateAbout This Template
Build a production-ready protein ligand visualization with Reflex and Python. This template is designed for bioinformatics, computational biology, and drug discovery teams who need a usable app structure for molecular review, ligand comparison, binding-site analysis, and drug discovery dashboards, not a static mockup. The app pattern includes a focused dashboard, searchable tables, detail views, validated forms, status-aware actions, empty and loading states, and database-ready state management. Use it as a starting point for a protein ligand interaction, molecular visualization, bioinformatics dashboard, and drug discovery visualization while keeping full control of the Python codebase.
Frequently Asked Questions
This Reflex template provides a workspace for structures, compounds, and assay results, with binding-site and interaction summary panels for review. Filters narrow by protein, compound family, assay type, and project.
Yes. The workspace holds structures, compounds, and results as editable objects, so it composes with the tooling you already use. Because it is a Python app, RDKit can compute descriptors server side and py3Dmol can render structures inside the same page. PyMOL remains useful for detailed structural work the dashboard summarizes.
The ligand comparison table carries affinity, score, target, assay, and status, so a compound series can be ranked in one view. Sorting and filtering are data operations, making it straightforward to add your own scoring column.
Yes. Compounds and results are plain records, so real assay data replaces the seeded set in place. Teams typically read structures from PDB entries and pull assay results from an internal database or ELN, mapping both into the compound and result models.