Processed data and analysis code for "Integrative Network Pharmacology, Transcriptomics and Molecular Docking Identify Candidate Centella asiatica Constituents and Targets in Neurodegenerative Diseases"

This dataset contains processed data, analysis outputs and anonymized analysis code generated for the manuscript entitled “Integrative Network Pharmacology, Transcriptomics and Molecular Docking Identify Candidate Centella asiatica Constituents and Targets in Neurodegenerative Diseases”. The repository includes processed expression matrices, differential-expression analysis outputs, machine-learning feature-selection results, receiver operating characteristic (ROC) analysis results, enrichment-analysis outputs, molecular-docking output tables and an anonymized consolidated analysis workflow. The analyses were performed to prioritize candidate Centella asiatica constituents, disease-associated molecular targets and representative ligand–target interactions in Alzheimer’s disease, Parkinson’s disease and Huntington’s disease. The raw public transcriptomic datasets analysed in the study are available from the Gene Expression Omnibus under accession numbers GSE20163, GSE20164, GSE26927, GSE7621, GSE5281, GSE36980, GSE118553, GSE64810 and GSE33000. This Zenodo record provides the processed and derived data generated from these public datasets, together with the analysis code required to reproduce the main computational workflow.