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Find links between drugs, genes, diseases, and biological pathways

December 6, 2022/2 min read

Ease ingesting and blending data

Make ingesting, cleaning, and blending of all relevant data easier with the solution’s clear flow zones and full wiki. Transform external data into a network graph ready to export to a graph database or leverage to enrich your biological research and development analysis projects.

Ease Ingesting and Blending Data

Keep workflows up to date

Automate ingestion of key public data sources on drugs, diseases, and genes through FTP and Postgres from NCBI, DrugCentral, and related gene ontologies and pathway databases. A variety of FTP connectors allow for single-click refresh and rebuild. Automate these downloads to keep your knowledge graph current to new discoveries and biological findings.

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Keep Workflows Up to Date

Identify novel patterns and new indications easily

Create relationships between nodes in your data leveraging Dataiku’s Visual Graph Editor plugin. Network graphs can be created in an entirely visual manner to test the strength of node/edge relationships with no need for coding.  

Discover the dataiku flow

Identify Novel Patterns and New Indications Easily

Dive into complex relationships with a biomedical knowledge graph

Push final graphs in neo4J for further investigation and use in various day-to-day activities.

See the solution in action

Dive Into Complex Relationships With a Biomedical Knowledge Graph

Go further with graph analytics

Create scenarios for new data ingestion and run queries to improve biological relationship understanding. Start with open data and deepen your nodes with more data sources. Embed graph analytics into your data-driven strategies to maximize complex relationship identification. Share biological and drug chemistry relationship data sets with other analytics and machine learning projects such as molecular structure property prediction and drug safety outcomes research.

Go to the solution dashboard

Go Further With Graph Analytics

Answer key questions on drugs development with graph analytics

The Dataiku Solution for Drug Repurposing Knowledge Graph helps answer a broad range of questions like: How can I more efficiently find links between drugs and potential new uses? How can I work with various sources of data like MeSH, Gene Ontology, Uberon, Pathway Commons, and DrugCentral? How can I keep my datasets current with new information and developments from the scientific community? How can I convert structured datasets into network graphs without knowing complex coding?

Read the documentation on drug repurposing

Answer Key Questions on Drugs Development With Graph Analytics

Knowledge graphs are just the start

Tap into the full breadth of potential offered by Dataiku to enrich your day to day R&D activities with accelerated usage of data. From simplified data access and analysis down to complex ML-assisted modeling, embrace the potential of data with a fully governed approach.

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Knowledge Graphs Are Just the Start

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