Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation

20
The Open PHACTS Discovery Platform Collaborations in Semantic Data Integration for Life Sciences Nick Lynch

Transcript of Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation

Page 1: Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation

The Open PHACTS

Discovery Platform

Collaborations in Semantic Data

Integration for Life SciencesNick Lynch

Page 2: Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation

Open PHACTS Mission:

Integrate Multiple Research

Biomedical Data Resources

Into A Single Open, Sustainable &

Free

Access Point

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Pre-competitive Informatics:Pharma are all accessing, processing, storing & re-processing external research data

LiteraturePubChem

GenbankPatents

DatabasesDownloads

Data Integration Data AnalysisFirewalled Databases

Repeat @

each

company

x

Lowering industry firewalls: pre-competitive informatics in drug discovery

Nature Reviews Drug Discovery (2009) 8, 701-708 doi:10.1038/nrd2944

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ChEMBL DrugBankGene

OntologyWikipathways

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 ClassENZYME

FDA adverse

eventsSureChEMBL

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Approach for

analysis

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Numb

er

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

literature.

44 13 8 Give me all active compounds on a given target with the relevant assay data

46 13 8 Give me the compound(s) which hit most specifically the multiple targets in a given pathway

(disease)

Identify all known protein-protein interaction inhibitors

Business Question Driven Approach

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http://dx.doi.org/10.1016/j.websem.2014.03.003

The Open PHACTS Discovery Platform

•Cloud-Based “Production”

Level System. Secure &

Private

•Guided By Business

Questions

•Uses Semantic Web

Technology But provides a

simple REST-ful API for

everyone else

http://dx.doi.org/10.1016/j.drudis.2013.05.008

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P12047X31045

GB:29384

Data Integration

is key

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Are These Two Molecules The Same(*)

*Really: Is it sensible to combine data associated with these two molecules?

Yeah

No

way!

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RDF

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

Co

re P

latf

orm

P12374

EC2.43.4

CS4532

“Adenosine

receptor 2a”

RDF

VoID

Db

RDF

Nanopub

Db

VoID

RDF

Db

VoID

RDF

Nanopub

VoID

Public Content Commercial

Public

Ontologies

User

Annotations

Apps

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Sources

ChEMBL

DrugBank

UniProt

ENZYME

ChEBI

GO/GOA

ChemSpider/ACD

ConceptWiki

Disgenet

WikiPathways

SureChEMBL

Regular updates

Future new sources planned based on

business questions and interests

Options for hosting commercial data ( e.g.

GVKBio)

Options for hosting private data

Potential for Data update pipelines

VM platform

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http://www.openphactsfoundation.org/apps.html

Explorer Explorer2 ChemBioNavigator Target Dossier Pharmatrek Helium

MOE Collector Cytophacts Utopia Garfield SciBite

KNIME Mol. Data Sheets PipelinePilot scinav.it Taverna

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Sustaining Impact

“Software is free like

puppies are free - they

both need money for

maintenance”

…and more resource

for future development

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Page 15: Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation

[email protected] @Open_PHACTS

Open PHACTS Practical SemanticsAcknowledgements

GlaxoSmithKline – Coordinator

Universität Wien – Managing entity

Technical University of Denmark

University of Hamburg, Center for

Bioinformatics

BioSolveIT GmBH

Consorci Mar Parc de Salut de Barcelona

Leiden University Medical Centre

Royal Society of Chemistry

Vrije Universiteit Amsterdam

Novartis

Merck Serono

H. Lundbeck A/S

Eli Lilly

Netherlands Bioinformatics Centre

Swiss Institute of Bioinformatics

ConnectedDiscovery

EMBL-European Bioinformatics Institute

Janssen Esteve Almirall

OpenLink Scibite

The Open PHACTS Foundation

Spanish National Cancer Research Centre

University of Manchester

Maastricht University

Aqnowledge

University of Santiago de Compostela

Rheinische Friedrich-Wilhelms-Universität

Bonn

AstraZeneca

Pfizer

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Open PHACTS Practical Semantics

Collaborations around

Key Questions

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Open PHACTS Practical Semantics

Platform, Data & Experience

Tacking Big Data challenges

RDF

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

Co

re P

latf

orm

P12374

EC2.43.4

CS4532

“Adenosine

receptor 2a”

RDF

VoID

Db

RDF

Nanopub

Db

VoID

RDF

Db

VoID

RDF

Nanopub

VoID

Public Content Commercial

Public

Ontologies

User

Annotations

Apps

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Disease

Gene

Protein

??Compound

Compound

Patent

Future

Concepts &

Data Sources to

support

questions

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Questions & Next Steps?

[email protected] @Open_PHACTS