Biological Insights Knowledge Graph: an integrated knowledge graph to support drug development Article Swipe
David Geleta
,
Andriy Nikolov
,
Gavin Edwards
,
Anna Gogleva
,
Richard Jackson
,
Erik Jansson
,
Andrej Lamov
,
Sebastian Nilsson
,
Marina Pettersson
,
Vladimir Poroshin
,
Benedek Rózemberczki
,
Timothy Scrivener
,
M. Ughetto
,
Eliseo Papa
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.10.28.466262
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.10.28.466262
The use of knowledge graphs as a data source for machine learning methods to solve complex problems in life sciences has rapidly become popular in recent years. Our Biological Insights Knowledge Graph (BIKG) combines relevant data for drug development from public as well as internal data sources to provide insights for a range of tasks: from identifying new targets to repurposing existing drugs. Besides the common requirements to organisational knowledge graphs such as being able to capture the domain precisely and give the users the ability to search and query the data, the focus on handling multiple use cases and supporting use case-specific machine learning models presents additional challenges: the data models must also be streamlined for the performance of downstream tasks; graph content must be easily customisable for different use cases; different projections of the graph content are required to support a wider range of different consumption modes. In this paper we describe our main design choices in implementation of the BIKG graph and discuss different aspects of its life cycle: from graph construction to exploitation.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.10.28.466262
- https://www.biorxiv.org/content/biorxiv/early/2021/11/01/2021.10.28.466262.full.pdf
- OA Status
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- Cited By
- 22
- References
- 52
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3209820393Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2021.10.28.466262Digital Object Identifier
- Title
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Biological Insights Knowledge Graph: an integrated knowledge graph to support drug developmentWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-01Full publication date if available
- Authors
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David Geleta, Andriy Nikolov, Gavin Edwards, Anna Gogleva, Richard Jackson, Erik Jansson, Andrej Lamov, Sebastian Nilsson, Marina Pettersson, Vladimir Poroshin, Benedek Rózemberczki, Timothy Scrivener, M. Ughetto, Eliseo PapaList of authors in order
- Landing page
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https://doi.org/10.1101/2021.10.28.466262Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2021/11/01/2021.10.28.466262.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2021/11/01/2021.10.28.466262.full.pdfDirect OA link when available
- Concepts
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Computer science, Repurposing, Graph, Knowledge graph, Data science, Domain knowledge, Theoretical computer science, Artificial intelligence, Engineering, Waste managementTop concepts (fields/topics) attached by OpenAlex
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22Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 6, 2023: 4, 2022: 8Per-year citation counts (last 5 years)
- References (count)
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52Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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