name: MIND
description: Mechanistic Repositioning Network with Indications (MIND) is a knowledge graph incorporating two biomedical resources: MechRepoNet and DrugCentral. MechRepoNet is a knowledge graph comprising of 18 biomedical resources that reflects and expands on important drug mechanism relationships identified from a curated biomedical drug mechanism dataset. MIND was created by mapping DrugCentral edges to existing MechRepoNet nodes through the Unified Medical Language System (UMLS) and Medical Subject Headings (MeSH). The MIND training set has a total of 9,651,040 edges.
contacts: [{"category": "Individual", "label": "Roger Tu", "orcid": "0000-0002-7899-1604"}, {"category": "Individual", "label": "Meghamala Sinha", "orcid": "0000-0002-6422-3313"}, {"category": "Individual", "label": "Andrew I. Su", "orcid": "0000-0002-9859-4104"}]
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raw_data: {"activity_status": "active", "category": "KnowledgeGraph", "contacts": [{"category": "Individual", "label": "Roger Tu", "orcid": "0000-0002-7899-1604"}, {"category": "Individual", "label": "Meghamala Sinha", "orcid": "0000-0002-6422-3313"}, {"category": "Individual", "label": "Andrew I. Su", "orcid": "0000-0002-9859-4104"}], "description": "Mechanistic Repositioning Network with Indications (MIND) is a knowledge graph incorporating two biomedical resources: MechRepoNet and DrugCentral. MechRepoNet is a knowledge graph comprising of 18 biomedical resources that reflects and expands on important drug mechanism relationships identified from a curated biomedical drug mechanism dataset. MIND was created by mapping DrugCentral edges to existing MechRepoNet nodes through the Unified Medical Language System (UMLS) and Medical Subject Headings (MeSH). The MIND training set has a total of 9,651,040 edges.", "domains": ["drug discovery", "biomedical"], "homepage_url": "https://zenodo.org/records/8117748", "id": "mind", "layout": "resource_detail", "license": {"id": "https://creativecommons.org/licenses/by/4.0/", "label": "CC-BY-4.0", "logo": "http://mirrors.creativecommons.org/presskit/buttons/80x15/png/by.png"}, "name": "MIND", "products": [{"category": "GraphProduct", "description": "Training data for the MIND knowledge graph containing 9,651,040 edges", "format": "tsv", "id": "mind.train", "license": {"id": "https://creativecommons.org/licenses/by/4.0/", "label": "CC-BY-4.0"}, "name": "MIND Training Data", "original_source": ["drugcentral", "mechreponet"], "product_url": "https://zenodo.org/records/8117748/files/train.txt", "secondary_source": ["mind"], "warnings": ["File was not able to be retrieved when checked on 2025-08-14: No Content-Length header found"]}, {"category": "GraphProduct", "description": "Test data for the MIND knowledge graph containing DrugCentral indications", "format": "tsv", "id": "mind.test", "license": {"id": "https://creativecommons.org/licenses/by/4.0/", "label": "CC-BY-4.0"}, "name": "MIND Test Data", "original_source": ["drugcentral", "mechreponet"], "product_url": "https://zenodo.org/records/8117748/files/test.txt", "secondary_source": ["mind"], "warnings": ["File was not able to be retrieved when checked on 2025-08-14: No Content-Length header found"]}, {"category": "GraphProduct", "description": "Validation data for the MIND knowledge graph containing DrugCentral indications", "format": "tsv", "id": "mind.valid", "license": {"id": "https://creativecommons.org/licenses/by/4.0/", "label": "CC-BY-4.0"}, "name": "MIND Validation Data", "original_source": ["drugcentral", "mechreponet"], "product_url": "https://zenodo.org/records/8117748/files/valid.txt", "secondary_source": ["mind"], "warnings": ["File was not able to be retrieved when checked on 2025-08-14: No Content-Length header found"]}, {"category": "Product", "description": "Dictionary of entities in the MIND knowledge graph", "format": "tsv", "id": "mind.entities", "license": {"id": "https://creativecommons.org/licenses/by/4.0/", "label": "CC-BY-4.0"}, "name": "MIND Entities Dictionary", "original_source": ["drugcentral", "mechreponet"], "product_file_size": 5629618, "product_url": "https://zenodo.org/records/8117748/files/entities.dict", "secondary_source": ["mind"]}, {"category": "Product", "description": "Dictionary of relations in the MIND knowledge graph", "format": "tsv", "id": "mind.relations", "license": {"id": "https://creativecommons.org/licenses/by/4.0/", "label": "CC-BY-4.0"}, "name": "MIND Relations Dictionary", "original_source": ["drugcentral", "mechreponet"], "product_file_size": 1648, "product_url": "https://zenodo.org/records/8117748/files/relations.dict", "secondary_source": ["mind"]}], "publications": [{"authors": ["Roger Tu", "Meghamala Sinha", "Carolina Gonz\u00e1lez", "Eric Hu", "Shehzaad Dhuliawala", "Andrew McCallum", "Andrew I. Su"], "id": "https://doi.org/10.1101/2023.05.12.540594", "journal": "bioRxiv", "title": "Drug Repurposing using consilience of Knowledge Graph Completion methods", "year": "2023"}], "repository": "https://github.com/SuLab/KnowledgeGraphEmbedding"}