MPS-Db

MPS-Db provides a centralized database for Microphysiological Systems (MPS) data to support design, development, validation, and translational interpretation of MPS models in biomedical research and drug discovery.

Key Features:

• Data aggregation: Captures and aggregates design, application, and performance data from diverse MPS configurations, including static microplate models and integrated multi-organ microfluidic systems.
• Integration with reference data: Associates MPS data with chemical, biochemical, pre-clinical, clinical, and post-marketing reference sources to support model design, validation, and interpretation.
• Study data management: Manages multifactor, multichip study data including upload, analysis, review, and computational modeling workflows.
• Computational modeling tools: Hosts computational tools for modeling disease mechanisms, compound toxicity, and drug pharmacokinetics (PK) predictions.
• Disease portal module: Provides links to external resources for designing MPS disease models and studies.

Scientific Applications:

• Study management: Facilitates organization, analysis, and interpretation of complex MPS experimental datasets.
• Reproducibility assessment: Supports assessment of reproducibility and consistency of MPS model outputs across experiments.
• Concordance with clinical findings: Enables evaluation of concordance between MPS results and clinical data to enhance translational relevance.
• ADME‑Tox and PK/PD prediction: Supports experimental ADME‑Tox studies and computational prediction of pharmacokinetic/pharmacodynamic (PK/PD) profiles.
• Case study — LAMPS: Demonstrates application with the liver acinus MPS model (LAMPS) for study data management, experimental design, and analysis.

Methodology:

Computational modeling for disease mechanisms, compound toxicity, and drug PK predictions, and a Disease Portal module linking to external resources for MPS disease model design and studies.