SlideShare a Scribd company logo
Focused Patentomes and Literareomes:
Text-Based Knowledge Mining
Hermann Mucke
for Drug Repurposing
2nd Annual Drug Repositioning & Indications Discovery Conference
October 23, 2012 – San Francisco

www.hmpharmacon.com
Presentation Outline

Patentomes: totality of all information disclosed in
patent documents published in defined fields
Exemplary tool for “total recall” prior art research and
concept generation in drug repurposing
Mapping (and matching) patent and peer review
literature ontologies for optimal knowledge merging
Patentomes in the biomedical database world

2
Strategy Or Opportunity?

On-Target – Off-Target
Planned (systematic) repurposing
Gap closing in development pipelines
Addressing neglected diseases

Opportunistic repurposing
"Just had this idea..." / "Just found out that..."
Can happen in the wet lab, in the clinic – or “in the
library”

3
Learn About What Is Already Known - And What Is Not

Equally essential for generating and checking ideas
Define your repurposing concept
Mechanism/target-based
Disease-based

And then, search the prior art
What? - Your idea/finding/concept, obviously
Where? - Peer review literature & patents, obviously

HOWEVER,......
4
PubMed & Public Patent Databases Are Not Enough

PubMed/Medline is limited to searching:
Abstracts (such as there are)
Indexed terms (MeSH keywords,...)

Patentscope, Esp@acenet, USPTO,... are also limited:
No keyword indexing
Fulltext available - but as raw OCR output
This raw output is the input for
Machine translations
Datamining

5
Access To Non-English Texts: A Major Hurdle
Machine translations can result in total gibberish
WO 2012/137870, input is Japanese OCR online text

Google Translate

Microsoft

6
Solution: Focused Patentomes and Literareomes
Totality of patent or peer review publications with relevant
information
Complete (for the purpose of the search)
Searchable in fulltext
Indexed for explicit content
Annotated for implicit content

Only focusing on precisely defined therapeutic fields
makes this achievable
Document identification must be done by a human
expert

Impossible for peer review papers (no access rights to
>85% of fulltexts)
But is a reasonable proposition for patents
7
THIRDSPACE: A Series Of Overlapping Patentomes
Primarily a KM tool - patent-legalistic issues secondary
Automated entity recognition and linking
Patent codes mapped to MeSH codes
Search patents on the same level as PubMed - but
based on fulltext

Chemical information converted to machine-readable
format (InChIs)
Interactive knowledge discovery software framework
8
REDWING: THIRDSPACE Pilot Module Ophthalmology

Ocular pharmacology, drug delivery, tissue technology,
and biomarkers
5,333 patent documents captured (Oct. 15, 2012)
~75% with fully expert-corrected machine-readable
PDFs in original layout (~160,000 pages)

Uses ophthalmology-focused ontology in addition to
standard MeSH vocabulary
Open-standards ontologies for biomedical
investigations

9
REDWING:
Drug Repurposing To The Ophthalmology Space (I)
Both "idea checking" and "exploratory searches"
supported by tailored features
Separate searches in claims, body text, and ISR citations
Boolean/proximity
Semantic/context
MeSH & IPC
Chemistry

Links to H.M. Pharma Consultancy's Discontinued Drug
Candidate Database, PubMed, PubChem,...

10
REDWING:
Drug Repurposing To The Ophthalmology Space (II)

These searches can rapidly answer the key questions for
repurposing:
Has it been explicitly described already?
(novelty)
If not, how obvious is the contemplated new use
(inventive step)
Can invention height and/or utility be improved by new
dosing and/or re-formulation?
How could we go at obtaining IP for the new use?

REDWING can work with implicit contextual information
Reveals where "to connect the dots"
11
Further Plans For THIRDSPACE

Build additional modules that overlap in a meaningful way
e.g., visual cortex, neurodegeneration,
photobiochemistry...

Extend chemistry integration
Fragment-based searches
Markush searches
Reactions

Full integration of Open Access literature in the respective
fields

12
The Take-Home Message

For drug repurposing, assume that key information has
already been published, BUT:
Not where it is commonly believed to be
Not in easily machine-accessible form
Not in an obvious context

WE MIGHT NOT KNOW WHAT IS ALREADY KNOWN BUT WE CAN FIND OUT
WE MIGHT ALREADY HAVE THE AGENT BUT WE DO NOT (YET) KNOW ALL IT DOES

13
Peer-Review Papers On Ocular Patent Landscaping

Towards the Ophthalmology Patentome: A Comprehensive
Patent Database of Ocular Drugs and Biomarkers (submitted)
Focus, medicinal chemistry, informatics: towards the
pharmaceutical patentome
Pharm. Pat. Analyst 2012; 1(3): 229-231
Pharmacological therapies for cataract and refractive errors:
landscaping niches of ocular drug patenting
Pharm. Pat. Analyst 2012; 1(2): 165–75
Current drug patenting for retinal diseases: Beyond VEGF
inhibitors
IDrugs 2010; 13(1):30-37
New ocular therapeutics: A view from the patenting perspective
IDrugs 2007; 10(1):37-41
14
*** THANK YOU FOR YOUR ATTENTION ***

15

More Related Content

What's hot

2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe
open_phacts
 
Exhaustive Literature Searching (Systematic Reviews)
Exhaustive Literature Searching (Systematic Reviews)Exhaustive Literature Searching (Systematic Reviews)
Exhaustive Literature Searching (Systematic Reviews)
markmac
 
Exploring Chemical and Biological Knowledge Spaces with PubChem
Exploring Chemical and Biological Knowledge Spaces with PubChemExploring Chemical and Biological Knowledge Spaces with PubChem
Exploring Chemical and Biological Knowledge Spaces with PubChem
Paul Thiessen
 
Evolving consensus-based curatorial strategies
Evolving consensus-based curatorial strategiesEvolving consensus-based curatorial strategies
Evolving consensus-based curatorial strategies
Chris Southan
 
Sara Gerke: "AI in Drug Discovery and Clinical Trials"
Sara Gerke: "AI in Drug Discovery and Clinical Trials"Sara Gerke: "AI in Drug Discovery and Clinical Trials"
Sara Gerke: "AI in Drug Discovery and Clinical Trials"
The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics
 
Very brief overview of AI in drug discovery
Very brief overview of AI in drug discoveryVery brief overview of AI in drug discovery
Very brief overview of AI in drug discovery
Dr. Gerry Higgins
 
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
open_phacts
 
Drug analytics based on triple linking v1.0
Drug analytics based on triple linking v1.0Drug analytics based on triple linking v1.0
Drug analytics based on triple linking v1.0
Ann-Marie Roche
 
Conference presentation from #iccs2014 in Noordwijkerhout
Conference presentation from #iccs2014 in NoordwijkerhoutConference presentation from #iccs2014 in Noordwijkerhout
Conference presentation from #iccs2014 in Noordwijkerhout
Josef Scheiber
 
Role of AI in Drug Discovery and Development
Role of AI in  Drug Discovery and DevelopmentRole of AI in  Drug Discovery and Development
Role of AI in Drug Discovery and Development
Dr. Manu Kumar Shetty
 
Finding the right medical device information in embase 11 2016
Finding the right medical device information in embase 11 2016Finding the right medical device information in embase 11 2016
Finding the right medical device information in embase 11 2016
Ann-Marie Roche
 
BioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug DiscoveryBioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug Discovery
Josef Scheiber
 
Embase Adverse Event Monitoring
Embase Adverse Event MonitoringEmbase Adverse Event Monitoring
Embase Adverse Event Monitoring
Ann-Marie Roche
 
Wk 5 case 1 designing drug virtually
Wk 5 case 1 designing drug virtually Wk 5 case 1 designing drug virtually
Wk 5 case 1 designing drug virtually
dyadelm
 
Case 5.1 - DESIGNING DRUGS VIRTUALLY
Case 5.1 - DESIGNING DRUGS VIRTUALLYCase 5.1 - DESIGNING DRUGS VIRTUALLY
Case 5.1 - DESIGNING DRUGS VIRTUALLY
Aya Wan Idris
 
Human Genome and Big Data Challenges
Human Genome and Big Data ChallengesHuman Genome and Big Data Challenges
Human Genome and Big Data Challenges
Philip Bourne
 
Pharma Assets Portal
Pharma Assets PortalPharma Assets Portal
Pharma Assets Portal
TRAIN Central Station
 
Automate your literature monitoring for more effective pharmacovigilance
Automate your literature monitoring for more effective pharmacovigilanceAutomate your literature monitoring for more effective pharmacovigilance
Automate your literature monitoring for more effective pharmacovigilance
Ann-Marie Roche
 
Embase indexing (webinar 28 oct)
Embase indexing (webinar 28 oct)Embase indexing (webinar 28 oct)
Embase indexing (webinar 28 oct)
Ann-Marie Roche
 
Four Disruptive Strategies for Removing Drug Discovery Bottlenecks
Four Disruptive Strategies for Removing Drug Discovery BottlenecksFour Disruptive Strategies for Removing Drug Discovery Bottlenecks
Four Disruptive Strategies for Removing Drug Discovery Bottlenecks
US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
 

What's hot (20)

2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe
 
Exhaustive Literature Searching (Systematic Reviews)
Exhaustive Literature Searching (Systematic Reviews)Exhaustive Literature Searching (Systematic Reviews)
Exhaustive Literature Searching (Systematic Reviews)
 
Exploring Chemical and Biological Knowledge Spaces with PubChem
Exploring Chemical and Biological Knowledge Spaces with PubChemExploring Chemical and Biological Knowledge Spaces with PubChem
Exploring Chemical and Biological Knowledge Spaces with PubChem
 
Evolving consensus-based curatorial strategies
Evolving consensus-based curatorial strategiesEvolving consensus-based curatorial strategies
Evolving consensus-based curatorial strategies
 
Sara Gerke: "AI in Drug Discovery and Clinical Trials"
Sara Gerke: "AI in Drug Discovery and Clinical Trials"Sara Gerke: "AI in Drug Discovery and Clinical Trials"
Sara Gerke: "AI in Drug Discovery and Clinical Trials"
 
Very brief overview of AI in drug discovery
Very brief overview of AI in drug discoveryVery brief overview of AI in drug discovery
Very brief overview of AI in drug discovery
 
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
 
Drug analytics based on triple linking v1.0
Drug analytics based on triple linking v1.0Drug analytics based on triple linking v1.0
Drug analytics based on triple linking v1.0
 
Conference presentation from #iccs2014 in Noordwijkerhout
Conference presentation from #iccs2014 in NoordwijkerhoutConference presentation from #iccs2014 in Noordwijkerhout
Conference presentation from #iccs2014 in Noordwijkerhout
 
Role of AI in Drug Discovery and Development
Role of AI in  Drug Discovery and DevelopmentRole of AI in  Drug Discovery and Development
Role of AI in Drug Discovery and Development
 
Finding the right medical device information in embase 11 2016
Finding the right medical device information in embase 11 2016Finding the right medical device information in embase 11 2016
Finding the right medical device information in embase 11 2016
 
BioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug DiscoveryBioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug Discovery
 
Embase Adverse Event Monitoring
Embase Adverse Event MonitoringEmbase Adverse Event Monitoring
Embase Adverse Event Monitoring
 
Wk 5 case 1 designing drug virtually
Wk 5 case 1 designing drug virtually Wk 5 case 1 designing drug virtually
Wk 5 case 1 designing drug virtually
 
Case 5.1 - DESIGNING DRUGS VIRTUALLY
Case 5.1 - DESIGNING DRUGS VIRTUALLYCase 5.1 - DESIGNING DRUGS VIRTUALLY
Case 5.1 - DESIGNING DRUGS VIRTUALLY
 
Human Genome and Big Data Challenges
Human Genome and Big Data ChallengesHuman Genome and Big Data Challenges
Human Genome and Big Data Challenges
 
Pharma Assets Portal
Pharma Assets PortalPharma Assets Portal
Pharma Assets Portal
 
Automate your literature monitoring for more effective pharmacovigilance
Automate your literature monitoring for more effective pharmacovigilanceAutomate your literature monitoring for more effective pharmacovigilance
Automate your literature monitoring for more effective pharmacovigilance
 
Embase indexing (webinar 28 oct)
Embase indexing (webinar 28 oct)Embase indexing (webinar 28 oct)
Embase indexing (webinar 28 oct)
 
Four Disruptive Strategies for Removing Drug Discovery Bottlenecks
Four Disruptive Strategies for Removing Drug Discovery BottlenecksFour Disruptive Strategies for Removing Drug Discovery Bottlenecks
Four Disruptive Strategies for Removing Drug Discovery Bottlenecks
 

Similar to Patent Knowledge Mining for Drug Repurposing

Opening up pharmacological space, the OPEN PHACTs api
Opening up pharmacological space, the OPEN PHACTs apiOpening up pharmacological space, the OPEN PHACTs api
Opening up pharmacological space, the OPEN PHACTs api
Chris Evelo
 
2011-11-28 Open PHACTS at RSC CICAG
2011-11-28 Open PHACTS at RSC CICAG2011-11-28 Open PHACTS at RSC CICAG
2011-11-28 Open PHACTS at RSC CICAG
open_phacts
 
Practical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS projectPractical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS project
US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
 
Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...
Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...
Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...
Semantic Web Company
 
Online Resources to Support Open Drug Discovery Systems
Online Resources to Support Open Drug Discovery SystemsOnline Resources to Support Open Drug Discovery Systems
Connected Data for Machine Learning | Paul Groth
Connected Data for Machine Learning | Paul GrothConnected Data for Machine Learning | Paul Groth
Connected Data for Machine Learning | Paul Groth
Connected Data World
 
The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...
The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...
The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...
Miguel Pizzanelli
 
MVilla IUI 2012 Lisbon
MVilla IUI 2012 LisbonMVilla IUI 2012 Lisbon
MVilla IUI 2012 Lisbon
Manuel de la Villa
 
Mashing Up Drug Discovery
Mashing Up Drug DiscoveryMashing Up Drug Discovery
Mashing Up Drug Discovery
SciBite Limited
 
Reproducibility in cheminformatics and computational chemistry research: cert...
Reproducibility in cheminformatics and computational chemistry research: cert...Reproducibility in cheminformatics and computational chemistry research: cert...
Reproducibility in cheminformatics and computational chemistry research: cert...
Greg Landrum
 
Diversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domainsDiversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domains
Paul Groth
 
Lankade data Vinnova webbinarium
Lankade data Vinnova webbinarium Lankade data Vinnova webbinarium
Lankade data Vinnova webbinarium
Kerstin Forsberg
 
Stratergies for the intergration of information (IPI_ConfEX)
Stratergies for the intergration of information (IPI_ConfEX)Stratergies for the intergration of information (IPI_ConfEX)
Stratergies for the intergration of information (IPI_ConfEX)
Ben Gardner
 
Mrr iti phar_mu
Mrr iti phar_muMrr iti phar_mu
Mrr iti phar_mu
Mariam Reyad
 
Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014
Mark Wilkinson
 
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
European Data Forum
 
Searching for Trials for a Systematic Review
Searching for Trials for a Systematic ReviewSearching for Trials for a Systematic Review
Searching for Trials for a Systematic Review
UT MD Anderson Cancer Center Research Medical Library
 
Open sourcedays2013 claus stie kallesoe
Open sourcedays2013   claus stie kallesoeOpen sourcedays2013   claus stie kallesoe
Open sourcedays2013 claus stie kallesoe
Claus Stie Kallesøe
 
Journal
JournalJournal
Leroy Hood biomedical challenges at Skolkovo
Leroy Hood biomedical challenges at SkolkovoLeroy Hood biomedical challenges at Skolkovo
Leroy Hood biomedical challenges at Skolkovo
igorod
 

Similar to Patent Knowledge Mining for Drug Repurposing (20)

Opening up pharmacological space, the OPEN PHACTs api
Opening up pharmacological space, the OPEN PHACTs apiOpening up pharmacological space, the OPEN PHACTs api
Opening up pharmacological space, the OPEN PHACTs api
 
2011-11-28 Open PHACTS at RSC CICAG
2011-11-28 Open PHACTS at RSC CICAG2011-11-28 Open PHACTS at RSC CICAG
2011-11-28 Open PHACTS at RSC CICAG
 
Practical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS projectPractical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS project
 
Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...
Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...
Carlo Trugenberger: Scientific Discovery by Machine Intelligence: A New Avenu...
 
Online Resources to Support Open Drug Discovery Systems
Online Resources to Support Open Drug Discovery SystemsOnline Resources to Support Open Drug Discovery Systems
Online Resources to Support Open Drug Discovery Systems
 
Connected Data for Machine Learning | Paul Groth
Connected Data for Machine Learning | Paul GrothConnected Data for Machine Learning | Paul Groth
Connected Data for Machine Learning | Paul Groth
 
The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...
The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...
The Q-Codes: Metadata, Research data, and Desiderata_2018 12 04_gl20_Author_R...
 
MVilla IUI 2012 Lisbon
MVilla IUI 2012 LisbonMVilla IUI 2012 Lisbon
MVilla IUI 2012 Lisbon
 
Mashing Up Drug Discovery
Mashing Up Drug DiscoveryMashing Up Drug Discovery
Mashing Up Drug Discovery
 
Reproducibility in cheminformatics and computational chemistry research: cert...
Reproducibility in cheminformatics and computational chemistry research: cert...Reproducibility in cheminformatics and computational chemistry research: cert...
Reproducibility in cheminformatics and computational chemistry research: cert...
 
Diversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domainsDiversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domains
 
Lankade data Vinnova webbinarium
Lankade data Vinnova webbinarium Lankade data Vinnova webbinarium
Lankade data Vinnova webbinarium
 
Stratergies for the intergration of information (IPI_ConfEX)
Stratergies for the intergration of information (IPI_ConfEX)Stratergies for the intergration of information (IPI_ConfEX)
Stratergies for the intergration of information (IPI_ConfEX)
 
Mrr iti phar_mu
Mrr iti phar_muMrr iti phar_mu
Mrr iti phar_mu
 
Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014
 
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
 
Searching for Trials for a Systematic Review
Searching for Trials for a Systematic ReviewSearching for Trials for a Systematic Review
Searching for Trials for a Systematic Review
 
Open sourcedays2013 claus stie kallesoe
Open sourcedays2013   claus stie kallesoeOpen sourcedays2013   claus stie kallesoe
Open sourcedays2013 claus stie kallesoe
 
Journal
JournalJournal
Journal
 
Leroy Hood biomedical challenges at Skolkovo
Leroy Hood biomedical challenges at SkolkovoLeroy Hood biomedical challenges at Skolkovo
Leroy Hood biomedical challenges at Skolkovo
 

Recently uploaded

share - Lions, tigers, AI and health misinformation, oh my!.pptx
share - Lions, tigers, AI and health misinformation, oh my!.pptxshare - Lions, tigers, AI and health misinformation, oh my!.pptx
share - Lions, tigers, AI and health misinformation, oh my!.pptx
Tina Purnat
 
Tests for analysis of different pharmaceutical.pptx
Tests for analysis of different pharmaceutical.pptxTests for analysis of different pharmaceutical.pptx
Tests for analysis of different pharmaceutical.pptx
taiba qazi
 
Role of Mukta Pishti in the Management of Hyperthyroidism
Role of Mukta Pishti in the Management of HyperthyroidismRole of Mukta Pishti in the Management of Hyperthyroidism
Role of Mukta Pishti in the Management of Hyperthyroidism
Dr. Jyothirmai Paindla
 
CBL Seminar 2024_Preliminary Program.pdf
CBL Seminar 2024_Preliminary Program.pdfCBL Seminar 2024_Preliminary Program.pdf
CBL Seminar 2024_Preliminary Program.pdf
suvadeepdas911
 
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptxREGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
LaniyaNasrink
 
Muscles of Mastication by Dr. Rabia Inam Gandapore.pptx
Muscles of Mastication by Dr. Rabia Inam Gandapore.pptxMuscles of Mastication by Dr. Rabia Inam Gandapore.pptx
Muscles of Mastication by Dr. Rabia Inam Gandapore.pptx
Dr. Rabia Inam Gandapore
 
K CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấu
K CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấuK CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấu
K CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấu
HongBiThi1
 
Integrating Ayurveda into Parkinson’s Management: A Holistic Approach
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachIntegrating Ayurveda into Parkinson’s Management: A Holistic Approach
Integrating Ayurveda into Parkinson’s Management: A Holistic Approach
Ayurveda ForAll
 
Does Over-Masturbation Contribute to Chronic Prostatitis.pptx
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxDoes Over-Masturbation Contribute to Chronic Prostatitis.pptx
Does Over-Masturbation Contribute to Chronic Prostatitis.pptx
walterHu5
 
Efficacy of Avartana Sneha in Ayurveda
Efficacy of Avartana Sneha in AyurvedaEfficacy of Avartana Sneha in Ayurveda
Efficacy of Avartana Sneha in Ayurveda
Dr. Jyothirmai Paindla
 
Top-Vitamin-Supplement-Brands-in-India List
Top-Vitamin-Supplement-Brands-in-India ListTop-Vitamin-Supplement-Brands-in-India List
Top-Vitamin-Supplement-Brands-in-India List
SwisschemDerma
 
CHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdf
CHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdfCHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdf
CHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdf
rishi2789
 
The Electrocardiogram - Physiologic Principles
The Electrocardiogram - Physiologic PrinciplesThe Electrocardiogram - Physiologic Principles
The Electrocardiogram - Physiologic Principles
MedicoseAcademics
 
CHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdf
CHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdfCHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdf
CHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdf
rishi2789
 
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...
Oleg Kshivets
 
Chapter 11 Nutrition and Chronic Diseases.pptx
Chapter 11 Nutrition and Chronic Diseases.pptxChapter 11 Nutrition and Chronic Diseases.pptx
Chapter 11 Nutrition and Chronic Diseases.pptx
Earlene McNair
 
LOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loop
LOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loopLOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loop
LOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loop
debosmitaasanyal1
 
TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...
TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...
TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...
Donc Test
 
Abortion PG Seminar Power point presentation
Abortion PG Seminar Power point presentationAbortion PG Seminar Power point presentation
Abortion PG Seminar Power point presentation
AksshayaRajanbabu
 
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa CentralClinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central
19various
 

Recently uploaded (20)

share - Lions, tigers, AI and health misinformation, oh my!.pptx
share - Lions, tigers, AI and health misinformation, oh my!.pptxshare - Lions, tigers, AI and health misinformation, oh my!.pptx
share - Lions, tigers, AI and health misinformation, oh my!.pptx
 
Tests for analysis of different pharmaceutical.pptx
Tests for analysis of different pharmaceutical.pptxTests for analysis of different pharmaceutical.pptx
Tests for analysis of different pharmaceutical.pptx
 
Role of Mukta Pishti in the Management of Hyperthyroidism
Role of Mukta Pishti in the Management of HyperthyroidismRole of Mukta Pishti in the Management of Hyperthyroidism
Role of Mukta Pishti in the Management of Hyperthyroidism
 
CBL Seminar 2024_Preliminary Program.pdf
CBL Seminar 2024_Preliminary Program.pdfCBL Seminar 2024_Preliminary Program.pdf
CBL Seminar 2024_Preliminary Program.pdf
 
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptxREGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
REGULATION FOR COMBINATION PRODUCTS AND MEDICAL DEVICES.pptx
 
Muscles of Mastication by Dr. Rabia Inam Gandapore.pptx
Muscles of Mastication by Dr. Rabia Inam Gandapore.pptxMuscles of Mastication by Dr. Rabia Inam Gandapore.pptx
Muscles of Mastication by Dr. Rabia Inam Gandapore.pptx
 
K CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấu
K CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấuK CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấu
K CỔ TỬ CUNG.pdf tự ghi chép, chữ hơi xấu
 
Integrating Ayurveda into Parkinson’s Management: A Holistic Approach
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachIntegrating Ayurveda into Parkinson’s Management: A Holistic Approach
Integrating Ayurveda into Parkinson’s Management: A Holistic Approach
 
Does Over-Masturbation Contribute to Chronic Prostatitis.pptx
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxDoes Over-Masturbation Contribute to Chronic Prostatitis.pptx
Does Over-Masturbation Contribute to Chronic Prostatitis.pptx
 
Efficacy of Avartana Sneha in Ayurveda
Efficacy of Avartana Sneha in AyurvedaEfficacy of Avartana Sneha in Ayurveda
Efficacy of Avartana Sneha in Ayurveda
 
Top-Vitamin-Supplement-Brands-in-India List
Top-Vitamin-Supplement-Brands-in-India ListTop-Vitamin-Supplement-Brands-in-India List
Top-Vitamin-Supplement-Brands-in-India List
 
CHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdf
CHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdfCHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdf
CHEMOTHERAPY_RDP_CHAPTER 3_ANTIFUNGAL AGENT.pdf
 
The Electrocardiogram - Physiologic Principles
The Electrocardiogram - Physiologic PrinciplesThe Electrocardiogram - Physiologic Principles
The Electrocardiogram - Physiologic Principles
 
CHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdf
CHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdfCHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdf
CHEMOTHERAPY_RDP_CHAPTER 4_ANTI VIRAL DRUGS.pdf
 
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...
 
Chapter 11 Nutrition and Chronic Diseases.pptx
Chapter 11 Nutrition and Chronic Diseases.pptxChapter 11 Nutrition and Chronic Diseases.pptx
Chapter 11 Nutrition and Chronic Diseases.pptx
 
LOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loop
LOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loopLOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loop
LOOPS in orthodontics t loop bull loop vertical loop mushroom loop stop loop
 
TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...
TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...
TEST BANK For Community and Public Health Nursing: Evidence for Practice, 3rd...
 
Abortion PG Seminar Power point presentation
Abortion PG Seminar Power point presentationAbortion PG Seminar Power point presentation
Abortion PG Seminar Power point presentation
 
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa CentralClinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central
 

Patent Knowledge Mining for Drug Repurposing

  • 1. Focused Patentomes and Literareomes: Text-Based Knowledge Mining Hermann Mucke for Drug Repurposing 2nd Annual Drug Repositioning & Indications Discovery Conference October 23, 2012 – San Francisco www.hmpharmacon.com
  • 2. Presentation Outline Patentomes: totality of all information disclosed in patent documents published in defined fields Exemplary tool for “total recall” prior art research and concept generation in drug repurposing Mapping (and matching) patent and peer review literature ontologies for optimal knowledge merging Patentomes in the biomedical database world 2
  • 3. Strategy Or Opportunity? On-Target – Off-Target Planned (systematic) repurposing Gap closing in development pipelines Addressing neglected diseases Opportunistic repurposing "Just had this idea..." / "Just found out that..." Can happen in the wet lab, in the clinic – or “in the library” 3
  • 4. Learn About What Is Already Known - And What Is Not Equally essential for generating and checking ideas Define your repurposing concept Mechanism/target-based Disease-based And then, search the prior art What? - Your idea/finding/concept, obviously Where? - Peer review literature & patents, obviously HOWEVER,...... 4
  • 5. PubMed & Public Patent Databases Are Not Enough PubMed/Medline is limited to searching: Abstracts (such as there are) Indexed terms (MeSH keywords,...) Patentscope, Esp@acenet, USPTO,... are also limited: No keyword indexing Fulltext available - but as raw OCR output This raw output is the input for Machine translations Datamining 5
  • 6. Access To Non-English Texts: A Major Hurdle Machine translations can result in total gibberish WO 2012/137870, input is Japanese OCR online text Google Translate Microsoft 6
  • 7. Solution: Focused Patentomes and Literareomes Totality of patent or peer review publications with relevant information Complete (for the purpose of the search) Searchable in fulltext Indexed for explicit content Annotated for implicit content Only focusing on precisely defined therapeutic fields makes this achievable Document identification must be done by a human expert Impossible for peer review papers (no access rights to >85% of fulltexts) But is a reasonable proposition for patents 7
  • 8. THIRDSPACE: A Series Of Overlapping Patentomes Primarily a KM tool - patent-legalistic issues secondary Automated entity recognition and linking Patent codes mapped to MeSH codes Search patents on the same level as PubMed - but based on fulltext Chemical information converted to machine-readable format (InChIs) Interactive knowledge discovery software framework 8
  • 9. REDWING: THIRDSPACE Pilot Module Ophthalmology Ocular pharmacology, drug delivery, tissue technology, and biomarkers 5,333 patent documents captured (Oct. 15, 2012) ~75% with fully expert-corrected machine-readable PDFs in original layout (~160,000 pages) Uses ophthalmology-focused ontology in addition to standard MeSH vocabulary Open-standards ontologies for biomedical investigations 9
  • 10. REDWING: Drug Repurposing To The Ophthalmology Space (I) Both "idea checking" and "exploratory searches" supported by tailored features Separate searches in claims, body text, and ISR citations Boolean/proximity Semantic/context MeSH & IPC Chemistry Links to H.M. Pharma Consultancy's Discontinued Drug Candidate Database, PubMed, PubChem,... 10
  • 11. REDWING: Drug Repurposing To The Ophthalmology Space (II) These searches can rapidly answer the key questions for repurposing: Has it been explicitly described already? (novelty) If not, how obvious is the contemplated new use (inventive step) Can invention height and/or utility be improved by new dosing and/or re-formulation? How could we go at obtaining IP for the new use? REDWING can work with implicit contextual information Reveals where "to connect the dots" 11
  • 12. Further Plans For THIRDSPACE Build additional modules that overlap in a meaningful way e.g., visual cortex, neurodegeneration, photobiochemistry... Extend chemistry integration Fragment-based searches Markush searches Reactions Full integration of Open Access literature in the respective fields 12
  • 13. The Take-Home Message For drug repurposing, assume that key information has already been published, BUT: Not where it is commonly believed to be Not in easily machine-accessible form Not in an obvious context WE MIGHT NOT KNOW WHAT IS ALREADY KNOWN BUT WE CAN FIND OUT WE MIGHT ALREADY HAVE THE AGENT BUT WE DO NOT (YET) KNOW ALL IT DOES 13
  • 14. Peer-Review Papers On Ocular Patent Landscaping Towards the Ophthalmology Patentome: A Comprehensive Patent Database of Ocular Drugs and Biomarkers (submitted) Focus, medicinal chemistry, informatics: towards the pharmaceutical patentome Pharm. Pat. Analyst 2012; 1(3): 229-231 Pharmacological therapies for cataract and refractive errors: landscaping niches of ocular drug patenting Pharm. Pat. Analyst 2012; 1(2): 165–75 Current drug patenting for retinal diseases: Beyond VEGF inhibitors IDrugs 2010; 13(1):30-37 New ocular therapeutics: A view from the patenting perspective IDrugs 2007; 10(1):37-41 14
  • 15. *** THANK YOU FOR YOUR ATTENTION *** 15