MDCAP

MDCAP predicts causal associations between microRNAs (miRNAs) and human diseases using curated miRNA–disease interaction data and computational scoring of association potential.

Key Features:

• Causal miRNA–Disease Association Prediction: Estimates the likelihood that a miRNA has a causal role in a disease rather than a simple association.
• HMDD-Based Training Data: Utilizes manually curated causal miRNA–disease interactions integrated from the Human microRNA Disease Database (HMDD).
• Causal Association Potential Scoring: Calculates a causal association potential score for each miRNA–disease pair using the main computational script.
• Cross-Validation Evaluation: Applies 10-fold cross-validation to evaluate prediction performance across different subsets of curated data.
• Large Curated Interaction Dataset: Incorporates 6,667 causal associations involving 616 miRNAs and 440 diseases.

Scientific Applications:

• miRNA–Disease Mechanism Analysis: Identifies miRNAs with potential causal roles in disease pathogenesis.
• Noncoding RNA Functional Studies: Supports investigation of regulatory roles of miRNAs in human diseases.
• Therapeutic Target Discovery: Facilitates identification of candidate miRNA targets for disease intervention.

Methodology:

MDCAP computes causal association potential scores for miRNA–disease pairs using curated interactions from the Human microRNA Disease Database (HMDD) and evaluates predictive performance through 10-fold cross-validation.