Engineering-Oriented Bioinformatics Data Repository for Predictive Modeling of Complex Biological Systems

This dataset provides the structured data backbone supporting the study Engineering-Oriented Bioinformatics Models for Predictive Analysis of Complex Biological Systems. It consolidates heterogeneous biological inputs, curated knowledge sources, simulation artifacts, and evaluation outputs within a unified, engineering-grade data architecture. The repository integrates multi-omics signals, biological interaction networks, pathway-level knowledge, mechanistic constraint outputs, and digital twin–inspired simulation results. All data are organized through deterministic preprocessing pipelines, version-controlled configurations, and explicit data lineage identifiers, ensuring full traceability from raw inputs to reported results. Each worksheet documents a specific analytical layer, including data sources, preprocessing parameters, model configurations, validation protocols, uncertainty metrics, explainability artifacts, and cross-table traceability. This structure enables reproducibility, auditability, and independent verification of all predictive outcomes presented in the associated manuscript. The dataset is designed to support system-level predictive analysis under uncertainty and aligns with established engineering standards for model validation, robustness assessment, and transparent decision support. It is suitable for reuse in systems biology, biomedical engineering, and bioinformatics research requiring interpretable and reliable predictive frameworks.