[Webinar] Building a knowledge graph for drug discovery

Building a knowledge graph for drug discovery [Webinar]

Data in the life sciences is vast, ever expanding, and captured in a plethora of different formats. To extract actionable insights, that may otherwise remain unseen, from such a complex data landscape, sources need to be harmonised, or integrated. Knowledge graphs provide an intuitive means of representing these connected data and utilise ontologies to encode the semantics, or meaning, of entities and the relationships that exist between them.

One example where such an approach may prove beneficial is drug repositioning. By focusing on pre-approved drugs with existing clinical safety profiles, drug repositioning has the potential to reduce both the time and cost of getting a drug to market. Typically, such findings have been made serendipitously, but by pulling together relevant data into a knowledge graph, a more systematic approach may be taken.

In this webinar, we present the development of a knowledge graph in the area of drug repositioning. We show how SciBite and Stardog technology enable pre-existing unstructured and semi-structured data to be combined into a rich knowledge graph. It is shown how the SciBite semantic platform supports the creation of knowledge graph schema based on relevant ontologies, aligns unstructured data to these ontologies, and identifies-occurrence relations between entities. Finally, we demonstrate how this data may be loaded into Stardog, integrated with other sources and subsequently queried.

Presenters:

Sam Shelton, Partnership Manager at SciBite
Simon Jupp, Senior Solutions Engineer at SciBite
Tiago Almeida, Senior Data Scientist at Sinequa
Nick McHugh, Senior Solutions Consultant at Stardog

Watch the Full Webinar

Knowledge Graph Partners

SciBite works with leading data analytics companies to deliver large sets of clean, machine-readable data that simply wouldn’t be possible using manual curation methods. Learn how, together, we can propel your digital transformation with the data, software, and service expertise to make large-scale clean data an opportunity, not a hurdle.

Knowledge graph partners

Simon Jupp

Head of Semantic Technology, SciBite

Simon is the Head of Semantic Technology at SciBite, where he leads the development of CENtree, an innovative Enterprise Ontology Management solution. Simon’s interests are focused on how semantic technologies can be utilised to address the complex challenges of large-scale data interoperability. He is an expert in the development and application of ontologies within the life sciences and is advancing these technologies at Elsevier.

Sam Shelton

Director of Alliances, SciBite

Sam leads partnerships and alliances at SciBite, working collaboratively with existing partners and developing new partnerships aligned to SciBite’s strategic goals. He has a strong technical background in the life sciences, with a PhD in Protein Biochemistry from the University of Nottingham and post-doctoral training in bioinformatics within the department of Neurosurgery at the University of California San Francisco.

Prior to Joining SciBite he held technical sales and commercial roles at Carl Zeiss and most recently led business development at Repositive, building relationships with contract research organisations, biotech’s and pharma companies, facilitating data exchange and search across multiomic datasets. He has a good grasp of the challenges of dealing with unstructured scientific data, and collaboratively developing practical solutions to overcome these.

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