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BIG DATA EUROPE SC1 PILOT
The Open PHACTS Discovery Platform
Kiera McNeice, Open PHACTS Foundation13 Dec 2017
Big Data Europe Objectives
 Build foundational Big Data infrastructure
that:
o Is open source
o Makes it simple to get started with Big Data
o Supports a variety of use cases
o Embraces emerging Big Data technologies
o Enables simple integration with custom
components
The SC1 Pilot: Open PHACTS
Drug discovery using public
data
Literature
PubChem
Genbank
Patents
Databases
Downloads
Data Integration Data Analysis
Firewalled Databases
The situation in 2010…
GSK
Pfizer
AstraZeneca
Roche
Novartis
Merck-Serono
Janssen
Challenges: Identifiers
Andy Law’s third law:
 The number of unique identifiers assigned to an individual is
never less than the number of institutions involved in the study
P12047
X31045
GB:29384
http://bioinformatics.roslin.ac.uk/lawslaws/
Everyone loves standards…
…that’s why we have so many of them!
https://xkcd.com/927/
Semantic linking (RDF)
Link and store data as semantic “triples”:
[Compound] acts on [Target]
Subject Predicate Object––
Focus on researcher needs
ChEMBL DrugBank
Gene
Ontology
Wikipathways
UniProt
ChemSpider
UMLS
ConceptWiki
ChEBI
TrialTrove
GVKBio
GeneGo
TR
Integrity
“Find me compounds
that inhibit targets in
NFkB pathway
assayed in only
functional assays with
a potency <1 μM”
“What is the
selectivity profile of
known p38
inhibitors?”
“Let me compare
MW, logP and PSA
for known
oxidoreductase
inhibitors”
DisGeNet
neXtProt
ChEMBL
Target Class
ENZYME
FDA adverse
events
SureChEMBL
Ranked research questions
Number sum Nr of 1 Question
15 12 9
All oxidoreductase inhibitors active <100nM in both human and
mouse
18 14 8
Given compound X, what is its predicted secondary pharmacology?
What are the on and off,target safety concerns for a compound? What is
the evidence and how reliable is that evidence (journal impact factor,
KOL) for findings associated with a compound?
24 13 8
Given a target find me all actives against that target. Find/predict
polypharmacology of actives. Determine ADMET profile of actives.
32 13 8 For a given interaction profile, give me compounds similar to it.
37 13 8
The current Factor Xa lead series is characterised by substructure X.
Retrieve all bioactivity data in serine protease assays for molecules that
contain substructure X.
38 13 8
Retrieve all experimental and clinical data for a given list of compounds
defined by their chemical structure (with options to match
stereochemistry or not).
41 13 8
A project is considering Protein Kinase C Alpha (PRKCA) as a target.
What are all the compounds known to modulate the target directly? What
are the compounds that may modulate the target directly? i.e. return all
cmpds active in assays where the resolution is at least at the level of the
target family (i.e. PKC) both from structured assay databases and the
The Platform
Using Open PHACTS
Accessing the data: API
https://dev.openphacts.org/
Accessing the data: Workflow
tools
Example workflow
 Q10: For a given compound, summarise all
similar compounds and their activities
 CC1=C(C(C(=C(N
1)C)C(=O)OC)C2=
CC=CC=C2[N+](=
O)[O-])C(=O)OC
Example workflow: KNIME
Example workflow: Heatmap
Benefits of Open PHACTS
 Efficiency: Queries that once took days can now be done
in less than an hour
 Novelty: Semantically integrated databases allow for
completely new ways of analysing the data
 Cost: Sharing cost and effort in a precompetitive project
saved “millions”
“Integration of different databases is difficult, costly,
and time consuming, and probably would not have
been done at this level of quality without Open
Can it be recreated in the BDI?
Open PHACTS architecture
Nanopub
Db
VoID
Data Cache
(Virtuoso Triple Store)
Semantic Workflow Engine
Linked Data API (RDF/XML, TTL, JSON)
Domain
Specific
Services
Identity
Resolution
Service
Chemistry
Registration
Normalisation
& Q/C
Identifier
Management
Service
Indexing
CorePlatform
P12374
EC2.43.4
CS4532
“Adenosine
receptor 2a”
VoID
Db
Nanopub
Db
VoID
Db
VoID
Nanopub
VoID
Public Content Commercial
Public Ontologies
User
Annotations
Apps
Yes!
Open PHACTS in BDE
 Able to exchange Virtuoso triple store for 4Store
 18 of 21 original research questions answered
o (Remaining 3 required patent data which is not open)
 IMS implemented as independent docker module
 Local installation runs much faster than original platform!
Local hardware requirements
Hardware:
 150GB of disk space (ideal: 250GB)
 16GB of RAM (ideal: 128GB)
 4 CPU core (ideal: 8 cores)
Prerequisites:
 Recent x64 Linux (Ubuntu 14.04 LTS, Centos 7)
 Docker and Docker Compose
 Fast Internet connection https://github.com/openphacts/ops-docker
https://data.openphacts.org/
Advantages of rebuilding with
BDI
 Integration into a wider platform
 Flexibility, scalability, extensibility
 Local installation of the entire Open PHACTS
infrastructure!
Looking forwards
What’s next?
 Refresh of all data sources
 Identify new data sources
o What’s your big data with health problem?
kiera@openphactsfoundation.or
g
Thank you!

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BIG DATA EUROPE SC1 PILOT: OPEN PHACTS DRUG DISCOVERY PLATFORM

  • 1. BIG DATA EUROPE SC1 PILOT The Open PHACTS Discovery Platform Kiera McNeice, Open PHACTS Foundation13 Dec 2017
  • 2. Big Data Europe Objectives  Build foundational Big Data infrastructure that: o Is open source o Makes it simple to get started with Big Data o Supports a variety of use cases o Embraces emerging Big Data technologies o Enables simple integration with custom components
  • 3. The SC1 Pilot: Open PHACTS
  • 4. Drug discovery using public data Literature PubChem Genbank Patents Databases Downloads Data Integration Data Analysis Firewalled Databases
  • 5. The situation in 2010… GSK Pfizer AstraZeneca Roche Novartis Merck-Serono Janssen
  • 6. Challenges: Identifiers Andy Law’s third law:  The number of unique identifiers assigned to an individual is never less than the number of institutions involved in the study P12047 X31045 GB:29384 http://bioinformatics.roslin.ac.uk/lawslaws/
  • 7. Everyone loves standards… …that’s why we have so many of them! https://xkcd.com/927/
  • 8. Semantic linking (RDF) Link and store data as semantic “triples”: [Compound] acts on [Target] Subject Predicate Object––
  • 9. Focus on researcher needs ChEMBL DrugBank Gene Ontology Wikipathways UniProt ChemSpider UMLS ConceptWiki ChEBI TrialTrove GVKBio GeneGo TR Integrity “Find me compounds that inhibit targets in NFkB pathway assayed in only functional assays with a potency <1 μM” “What is the selectivity profile of known p38 inhibitors?” “Let me compare MW, logP and PSA for known oxidoreductase inhibitors” DisGeNet neXtProt ChEMBL Target Class ENZYME FDA adverse events SureChEMBL
  • 10. Ranked research questions Number sum Nr of 1 Question 15 12 9 All oxidoreductase inhibitors active <100nM in both human and mouse 18 14 8 Given compound X, what is its predicted secondary pharmacology? What are the on and off,target safety concerns for a compound? What is the evidence and how reliable is that evidence (journal impact factor, KOL) for findings associated with a compound? 24 13 8 Given a target find me all actives against that target. Find/predict polypharmacology of actives. Determine ADMET profile of actives. 32 13 8 For a given interaction profile, give me compounds similar to it. 37 13 8 The current Factor Xa lead series is characterised by substructure X. Retrieve all bioactivity data in serine protease assays for molecules that contain substructure X. 38 13 8 Retrieve all experimental and clinical data for a given list of compounds defined by their chemical structure (with options to match stereochemistry or not). 41 13 8 A project is considering Protein Kinase C Alpha (PRKCA) as a target. What are all the compounds known to modulate the target directly? What are the compounds that may modulate the target directly? i.e. return all cmpds active in assays where the resolution is at least at the level of the target family (i.e. PKC) both from structured assay databases and the
  • 13. Accessing the data: API https://dev.openphacts.org/
  • 14. Accessing the data: Workflow tools
  • 15. Example workflow  Q10: For a given compound, summarise all similar compounds and their activities  CC1=C(C(C(=C(N 1)C)C(=O)OC)C2= CC=CC=C2[N+](= O)[O-])C(=O)OC
  • 18. Benefits of Open PHACTS  Efficiency: Queries that once took days can now be done in less than an hour  Novelty: Semantically integrated databases allow for completely new ways of analysing the data  Cost: Sharing cost and effort in a precompetitive project saved “millions” “Integration of different databases is difficult, costly, and time consuming, and probably would not have been done at this level of quality without Open
  • 19. Can it be recreated in the BDI?
  • 20. Open PHACTS architecture Nanopub Db VoID Data Cache (Virtuoso Triple Store) Semantic Workflow Engine Linked Data API (RDF/XML, TTL, JSON) Domain Specific Services Identity Resolution Service Chemistry Registration Normalisation & Q/C Identifier Management Service Indexing CorePlatform P12374 EC2.43.4 CS4532 “Adenosine receptor 2a” VoID Db Nanopub Db VoID Db VoID Nanopub VoID Public Content Commercial Public Ontologies User Annotations Apps Yes!
  • 21. Open PHACTS in BDE  Able to exchange Virtuoso triple store for 4Store  18 of 21 original research questions answered o (Remaining 3 required patent data which is not open)  IMS implemented as independent docker module  Local installation runs much faster than original platform!
  • 22. Local hardware requirements Hardware:  150GB of disk space (ideal: 250GB)  16GB of RAM (ideal: 128GB)  4 CPU core (ideal: 8 cores) Prerequisites:  Recent x64 Linux (Ubuntu 14.04 LTS, Centos 7)  Docker and Docker Compose  Fast Internet connection https://github.com/openphacts/ops-docker https://data.openphacts.org/
  • 23. Advantages of rebuilding with BDI  Integration into a wider platform  Flexibility, scalability, extensibility  Local installation of the entire Open PHACTS infrastructure!
  • 25. What’s next?  Refresh of all data sources  Identify new data sources o What’s your big data with health problem?