© 2009 IBM Corporation German CDISC User Group Meeting IBM Intro September 22 nd , 2009
Mar 30, 2015
© 2009 IBM Corporation
German CDISC User Group Meeting
IBM Intro September 22nd, 2009
© 2009 IBM Corporation
IBM‘s R&D Team @German CDISC User Group
Peter LEISTER
IBM Global Business Services
Head of Pharma & Life
Sciences R&D Group
IBM Deutschland GmbH
Jens WIENTGES
IBM Global Business Services
Pharma & Life Sciences R&D
Group
IBM Deutschland GmbH
Markus STOLL
IBM Global Business Services
Pharma & Life Sciences R&D
Group
IBM Deutschland GmbH
Ute LADECK
IBM Global Business Services
Pharma & Life Sciences R&D
Group
IBM Deutschland GmbH
3 © 2009 IBM CorporationIBM
Creating Pharmaceutical Break-Throughs: - We believe there is no one magic bullet …
It takes a variety of data sources, ‘best of breed’ tools & technologies to really create break-throughs
… but one open & harmonized data-standard would help
4 © 2009 IBM CorporationIBM
A real life example taken from PoC on Hepatotoxic AE & CYP450 Marker
Med. Pub. As PDF-files
Genomic data
Combining the search with Genomic data of the patients finally led to signal
Study 0816
Clinical Data Management
Coding
Query Management
Clinical Trial Management
Statistical Programming
Electronic Data
Capture
Patient Diaries
Registries
Safety
Lab Data
Clinical Research
Organizations
Clinical Data Management
Coding
Query Management
Clinical Trial Management
Statistical Programming
Electronic Data
Capture
Patient Diaries
Registries
Safety
Lab Data
Clinical Research
Organizations
Oracle LSH
Study 0815
Study 4712
Pre-clin studStudy 4711
Study 4712
SAS, PL/SQL
This now needs to be confirmed by a statistician in a compliant manner, but
hopefully a marker was found
DDQB
Spotfire
© 2009 IBM Corporation
Life Sciences Pharma R&D - Services Portfolio
Focused R&D services– R&D Strategy & Process Optimization
– Clinical Data Integration & Aggregation (CDA)
– Clinical Trial (CTMS) and Investigator Relationship Management (IRTM)
– Electronic Data Capture (EDC)
– Integrated Project Resource and Portfolio Management (IPRM)
– Solutions for Compliance in Regulated Environments (Score) (e.g. Submission management, content management, clinical portal, …)
– Chemsearch Patent Data-Base
– Biobank Support & Pharmacogenomics (PGx)
– Data Driven Drug discovery (4D) Modelling and Simulation
Data Mining, Web Mining, Text Mining, Target finder
Other services applicable to R&D– Pervasive computing
– Petaflop and Grid Computing
– Process Analytical Technologies (PAT)
– Training & Knowledge Management
– Computer System Validation (CSV)
© 2009 IBM Corporation
IBM’s Deep Industry Knowledge – the R&D Group Embedded in the Larger Picture
IBM’s consulting capabilities are built around specific strategic and operational challenges facing pharmaceutical companies in the evolving global marketplace. With more than 1000 pharmaceutical industry specialists around the world, IBM Life Sciences consulting practice is part of the world’s largest consultant services organization with significant depth and breadth of industry experience.
World-Wide Industry Specialist Resources:Pharmaceutical Practice consists of > 2.000 industry specialists worldwide
Manufacturing Operations Materials & Product Flow
Management New Product/Package Introductions
in Operations Clinical Supply Chain Process Contract Manufacturing Regulatory Compliance & Validation Supply Chain Information
Management
Business Planning & Development Business Plan Development Strategy Valuation Strategy & Planning Competitive Positioning Due Diligence Mergers & Acquisitions
Financial Management Shared Services Performance Management Financial System Management &
Reporting
Information Management Management Information Systems Knowledge & Information
Management Structured Product Labeling Drug submission
Sales Account Management Health Care & Government Contract
Management Sales Operations Improvement Field Sales Management Sales Force Automation
Marketing Product Marketing Reimbursement Strategy DTC Strategy Rx-to-OTC switching Strategic Pricing
Research & Development Discovery/Pre-Clinical Clinical Development Clinical Data Aggregation Regulatory Compliance Pharmacovigilance Process Optimization
© 2009 IBM Corporation
IBM is a values-based enterprise of individuals
who create and apply technology to make the world
work better.
Today, about 400,000 IBMers around the world invent and
integrate hardware, software and services to help
forward-thinking enterprises, institutions and people
everywhere succeed on a smarter planet.
In a Word, IBM Stands for PROGRESS
© 2009 IBM Corporation
IBM - Major Businesses
Global Technology
Services
Global Business Services
Systems and
Technology
Software
S&D and
Research
Provides outsourced IT infrastructure services and business process services
Provides professional services and application outsourcing services
Provides advanced computing, storage and semiconductor technology and products
Provides middleware that enables clients to integrate systems, processes and applications, as well as computer operating systems
Our Sales and Research, Development and Intellectual Property organizations provide a wide spectrum of client support and additional value
GlobalFinancing
Provides financing solutions that can be customized to address specific IT needs, from competitive rates to flexible payment plans and loans
© 2009 IBM Corporation
A Leader in Technology
IBM maintains the world’s largest private-sector research arm. In 2008, for the 16th consecutive year, IBM was issued more U.S. patents (4,186) than any other company.
In the last six years IBM has aggressively complemented an investment of $35 billion in research and development with more than
100 acquisitions of hardware, services and software companies.
© 2009 IBM Corporation
Gene expression analysis
= j -(j-1)j-1 jNjk(j,k,Ne,Ng,) ~ (Ng
k )(Ne
j )k(1-Ng-k
[1-(1+j ) ]-1 kk Ne-j p = 1-exp{-Njk}
microarray 1microarray 2microarray 3
microarray N e
ge
ne
1
ge
ne
2
ge
ne
3
ge
ne
Ng....................
pattern
Genes@ W ork
Genes@Work
A software environment for gene expression analysis and
machine learning
Other Selected Relevant Papers:Mateos, Dopazo, Jansen, Tu, Gerstein and Stolovitzky, “Systematic learning of gene functional classes from DNA array expression data by using multilayer perceptrons”, Genome Research 12, 1703-15 (2002). Califano, Stolovitzky and Tu, “Analysis of Gene Expression Microarrays for Phenotype Classification” , Proceedings of the 8th Annual Intelligent Systems in Molecular Biology (ISMB) 2000; 8:75-85 (2000).
Lepre, Rice, Tu, and Stolovitzky, “Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data”, Bioinformatics 20(7):1033-44 (2004).
http://www.research.ibm.com/FunGen/FGDownloads.htm
© 2009 IBM Corporation
Data Mining
Simulation
Robustness, sparceness
Prediction andexperimental
design
ReverseEngineering
Malate Oxaloacetate Citrate
Ketoglutarate
Malate Oxaloacetate Citrate
Tricarboxylic Acid Cycle
Fumarate
Fumarate Isocitrate
Succinate Succinyl-CoA
Glyoxylate
Acetyl-CoACoA
Acetyl-CoACoA
MLS1MDH2 CIT2
ICL2
Glyoxylate Cycle
Malate Oxaloacetate Citrate
Ketoglutarate
Malate Oxaloacetate Citrate
Tricarboxylic Acid CycleTricarboxylic Acid Cycle
Fumarate
Fumarate Isocitrate
Succinate Succinyl-CoA
Glyoxylate
Acetyl-CoACoA
Acetyl-CoACoA
MLS1MDH2 CIT2
ICL2
Glyoxylate Cycle
Functional Genomics & Systems Biology GroupThe DREAM Project
DREAM (Dialogue on Reverse Engineering Analysis and Methods) aspires to collect data and techniques that researchers can use to understand how well their reverse engineering methods can infer the nature of the underlying biochemical networks in the cell.
Ideally, researchers would like to test their techniques on a "gold standard" biological network, where interactions are perfectly known.
Such networks are often artificial, may lack features found in real biological networks, and may include wrong and missing interactions.
Unlike most current approaches, the deepest biological insight will come from combining different types of information, including data on gene expression, proteins, and small molecules, among others.
© 2009 IBM Corporation
© 2009 IBM Corporation
Computational Chemistryand applications in Biochemistry
IBM help enhance your modeling & simulation framework for design of pharmaceutical products:– simulates complex enzymatic reactions (ADMET projects or enzyme engineering in general);– model ligand-protein interaction at the stage of lead identification and optimization.
Examples of systems under investigation are:– metal-activated enzymatic reactions and design of novel materials for organic electronics– ligand-protein interaction, such as HIV-protease inhibitors and simulating how progesterone interacts with its receptor in
the human body;– identifying molecules responsible for the degradation of flavor in foods.
Method used:– combined quantum mechanics/molecular mechanics (QM/MM),– classical molecular dynamics using quantum-refined force-fields.
This activity involves diverse technical steps: •development of new algorithms•code optimization, particularly for massive parallel computing, eg CPMD (Power, PowerLinux and Blue Gene/L.•data analysis•selected applications aimed at unraveling the physics and chemistry of the system•virtual design of novel materials for advanced technologies•development of interfaces for Grid computing.
During the past 10 years IBM established scientific collaborations with a number of industrial labs.
Contact: Wanda Andreoni & Alessandro Curioni, IBM Zurich Research Labs
© 2009 IBM Corporation
© 2009 IBM Corporation
Fighting AIDS virus
IBM and University of Edinburgh use World's most advanced supercomputer combined with lab experiments to speed the design of drugs aimed at inhibiting infection by the HIV virus.
The project is focused on how the human HIV-1 virus attaches to cells in the body and injects its genetic material and to speed the design of inhibitors for the part of the virus responsible for allowing the virus' genetic material to enter the human cell
In 2007, IBM's Haifa Research Laboratories and some European partners developed an integrated system for anti-HIV treatment called EuResist. Enabled by the integration of comprehensive databases, advanced data analytics and prediction tools, the system can forecast how genetic HIV variants will respond to specific antiretroviral treatments. It can therefore help doctors to choose the most effective drugs and drug combinations for their HIV patients
© 2009 IBM Corporation
Scripps Research Institute and IBM Partner Tackle the Global Pandemic Challenge
Conduct advanced research on pandemic viruses
Goals Include1. Develop a means to anticipate, manage and contain
infectious diseases
2. Leverage Scripps world class research and IBM’s expertise in computational biology and supercomputing
3. Attract advanced research talent to the state of Florida through collaborations associated with the pandemic work
Components of Collaboration1. Exploit an IBM Blue Gene supercomputer to conduct
advanced disease modeling
2. Provide access to talent and resources of IBM’s Computational Biology Center
Have a look at www.ibm.com/avianflu
© 2009 IBM Corporation
Reconstruction of whole heart by Peter Hunter, U. of Auckland
Heart disease is the leading killer in the developed worldHeart will allow better therapies for heart disease…...but will require bridging between organ level and molecular level
Sarcomere contracts by cyclical interactions of myosin on thick filament (red) and actin in thin filament (green).
In each cell of heart, a lattice of sarcomeres produce contraction on every heart beat.
Organ level Cell level Molecular level
Building Multiscale Heart Models (1/2)
Collaborators - University of Auckland, JHU, Loyola, UCSD, UIC, Oxford, others
© 2009 IBM Corporation
FDA’s JANUS Submission Data Repository Model – by IBM
Grew out of CDISC and HL7 data standardization efforts FDA and IBM designed the JANUS clinical data submission repository
– Worked under a Cooperative R&D Agreement (CRADA), completed in 2004
– JANUS logical data model published: http://www.fda.gov/oc/datacouncil/
IBM implemented a JANUS prototype for FDA and NCI– FDA and NCI cooperating through an Interagency Operational Task Force (IOTF)
– Testing completed in January 2006
IBM is currently implementing a JANUS Operational Prototype for FDA and NCI
CurrentClinicalStudy
PastClinicalStudies
JANUS
© 2009 IBM Corporation
Today, IBM is helping our clients to change the way the world
literally works – and to make the planet not just smaller and
“flatter,” but smarter. IBM is applying its expertise, global scope
and creativity to build the backbone of 21st century industries and
public institutions.
Leading the Transition to a Smarter Planet
Our world is becoming
INSTRUMENTEDOur world is becoming
INTERCONNECTEDVirtually all things, processes and ways of working are becoming
INTELLIGENT
© 2009 IBM Corporation
Building a Smarter Planet
An opportunity for life sciences organizations to think and act in new ways.
+ + =InterconnectedIntelligent Instrumented
Smarter R&D