LigAdvisor

LigAdvisor integrates public chemical, biological, and clinical databases with computational similarity estimation to support drug repurposing and polypharmacology analyses.

Key Features:

• Integration of Public Databases: Aggregates data from DrugBank, Protein Data Bank (PDB), UniProt, Clinical Trials, and Therapeutic Target Database for combined chemical, biological, and clinical information.
• Polypharmacology and Drug Repurposing Support: Supports rational design of multi-target ligands and repositioning of known drugs using integrated datasets and similarity estimation.
• Efficient Data Mining: Enables mining of publicly available datasets using computational tools and data-driven methodologies to reveal repurposing and polypharmacology opportunities.
• Customizable Ligand- and Target-based Searches: Performs ligand- and target-based searches tailored to specific molecules for focused analyses.
• Integration with Clinical Data: Facilitates integration of similarity estimation results with Clinical Trials data to inform therapeutic assessment.
• Target Fishing and Profiling: Supports target fishing and profiling analyses for small molecules.

Scientific Applications:

• Drug Repurposing: Enables identification and prioritization of existing drugs for new therapeutic indications via similarity estimation and integrated datasets.
• Polypharmacology Research: Assists design and evaluation of multi-target ligands by combining chemical and target information.
• Target Identification and Profiling: Supports target fishing, target identification, and profiling of small molecules.
• Clinical Evidence Integration: Links similarity results with Clinical Trials data to support interpretation of clinical relevance.

Methodology:

Integrates DrugBank, Protein Data Bank (PDB), UniProt, Clinical Trials, and Therapeutic Target Database and applies computational similarity estimation, ligand- and target-based searches, and data mining.