IMOPAC

IMOPAC performs interactive multiomics and pharmacological analyses of patient-derived cancer cell lines to link genomic, epigenomic, transcriptomic, proteomic, and metabolomic alterations with drug responses.

Key Features:

• Integration of Comprehensive Databases: Integrates pharmacogenomic and multiomics data from NCI-60, GDSC, and DepMap.
• Multi-omics and Pharmacological Visualizations: Generates visualizations of genetic, epigenetic, transcriptional, proteomic, metabolomic, and pharmacological events.
• Multiomics–Drug Linking: Links multiomics alterations across genes and pathways with drug responses in diverse cancer cell lines.
• Pancancer Expression Analysis: Examines gene expression patterns across multiple cancer types.
• Drug-Omics/Pathway Correlation: Investigates relationships between drug responses and omics data or specific biological pathways.
• Cancer Subtypes Exploration: Enables analysis of distinct cancer subtypes based on multiomics profiles.
• Omics-Omics Correlation (Cis-/Trans-Regulation): Analyzes regulatory interactions within and between different omics layers, including cis- and trans-regulation.
• Fusion Query Analysis: Investigates gene fusions and their molecular implications in cancer.
• Drug Response Prediction Analysis: Predicts potential drug responses based on integrated multiomics profiles.

Scientific Applications:

• Pharmacogenomics Mining: Supports mining of pharmacogenomic associations to relate molecular alterations to drug sensitivity and resistance.
• Therapeutic Target Discovery: Facilitates discovery of candidate therapeutic targets from multiomics and pharmacological correlations.
• Biomarker Identification for Precision Medicine: Identifies clinically actionable biomarkers that link molecular profiles to treatment outcomes.
• Mechanistic Studies of Drug Response: Enables exploration of molecular mechanisms underlying drug responses and resistance across cancer cell lines.

Methodology:

Integrates multiomics and pharmacological data from established cancer genomic databases (NCI-60, GDSC, DepMap) and provides interactive exploration and visualization of pharmacogenomic profiles.