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Size: 1.78 MB
Language: en
Added: Apr 19, 2025
Slides: 15 pages
Slide Content
gsk.com
End to end drug discovery project management using a
knowledge graph
Saqib Mir âEngineering Lead, R&D Tech
2
â¢Pain points of drug discovery project management
â¢Overview of our solution: Atlas
â¢Why graph and Neo4j
â¢Outcomes / value additions by Atlas
Outline
3
â¢For research projects, no central environment for:
-Capturingnarratives,evidenceandknowledge
-Difficultyinsharing cross-project learnings
-Tracking
-Difficult and laborious cross-projectcomparison
-Identifying opportunities for acceleration
-Governance
-Inability to link and trace data, analysis and interpretations supporting project specific claims
-Time-consuming, inefficient preparation and duplication for team and governance meetings: Ad hoc
reports, proliferation of PowerPoint files
The Problem
A non-exhaustive list of pain points
4
Our Solution: Atlas
A central knowledge and decision-making platform for GSK projects
Project knowledge in one place easily searchable for
cross functional / project teamsharing facilitating
building of scientific andtechnical learning.
Total transparency of scientific and technical
projectdata with real time visuals..Earlier
identification of technical chances of success or
failure.
Senior leaders | Project teams | Functional Scientists
able to view project information in a single virtual
environment.. Increased efficiency | Reduction in
duplication of information for different stakeholders
and auto generation of components of the TED
Digital transformation of R&D
Consistent representation | Auto generation of data
plots usingreal time information.
Enabling data driven decision making,earlier identification of technical success factors
and risks. Improved portfolio technical health accelerating development of medicines for
patients
5
Atlas: Project and Target Safety Review narratives
Question Based Approach
6
Atlas: Indication Evaluation Framework
Evaluating secondary indications for a target/asset
09 December 2022 7
Atlas: Translational Table
Measuring how translatable our science will be in the clinic
8
Atlas: Generating reports and documents
Executive summaries, governance documents, status reports, data integrity
documents
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Atlas: Generating reports and documents
Executive summaries, governance documents, status reports, data integrity
documents
10
Atlas: Portfolio views
Health status of a whole portfolio of projects
11
Obligatory (simplified) schema!
12
Simplified Architecture
Neo4J
Postgres
REST API
API Gateway
GSK SSO
Micro UIs
DataKitchen
DataOps
Source
Systems
Azure ADLS
/ Blob
Scientific
Search
Denodo
13
â¢Atlas started piecemeal âwith a vague scope
-Flexibleschema with the need to extend quickly
â¢Future state as a knowledge store
-Automaticallyextractand store knowledge from experiments, internal databases, literature,
historical projects etc.
-Offerthisaspossibleevidence for project narratives -automate this process!
-Helpmakecertaindecisions(recommendations) at the project and portfolio levels
â¢Why Neo4j
-Notechnicaldebt
-Performance
Why a graph?
And why Neo4j?
14
â¢Prompting to think earlier about critical project aspects
â¢Interrogation of scientific strengths, risks and gaps
â¢Transparency and traceability of scientific interpretations and links to data to support
decision making
â¢Insights from visualisations to identify acceleration opportunities
â¢Ability to link data, analysis and interpretations
â¢Efficient preparation for teams and governance
â¢Efficient digital process for evaluating secondary indications
Outcomes: Addressing key pain points to improve efficiency
Value Added by Atlas