摘要：Heterogeneous biomedical pharmacological databases are important for multiple felds in bioinformatics. Hetionet is a freely available database combining diverse entities and relationships from 29 public resources . Therefore, it is used as the basis for this project . 19 additional pharmacological medical and biological databases such as CtD, DrugBank, and ClinVar are parsed and integrated into Neo4j . Afterwards, the information is merged into the Hetionet structure . Diferent mapping methods are used such as external identifcation systems or name mapping . The resulting open-source Neo4j database PharMeBINet has 2,869,407 diferent nodes with 66 labels and 15,883,653 relationships with 208 edge types . It is a heterogeneous database containing interconnected information on ADRs, diseases, drugs, genes, gene variations, proteins, and more . Relationships between these entities represent drug-drug interactions or drug-causes-ADR relations, to name a few. It has much potential for developing further data analyses including machine learning applications. a web application for accessing the database is free to use for everyone and available at https://pharmebi.net. additionally, the database is deposited on Zenodo at https://doi.org/10.5281/zenodo.6578218 .
