drug discovery, roche, and china: some personal reflections · “how to improve r&d...
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Drug Discovery, Roche, and China: Some Personal Reflections
Dr. Jitao David Zhang, Computational Biology and Bioinformatics Roche Innovation Center Basel, Pharma Research and Early Development (pRED), Pharmaceutical Sciences Insight China, FHNW, February 2019
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This work is licensed under a Creative Commons
Attribution-ShareAlike 4.0 International License.
Contact the author
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Outline
1. Who am I, and what do I do at Roche?
2. How does Drug Discovery work?
3. Roche In China, Roche For China
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WHO AM I?
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My career path
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pRED: International, Interdisciplinary, and Impactful
Where I come from
The composition of the group I am in
Bioinformatics and Exploratory Data Analysis
in Pharmaceutical Sciences, pRED (N=~30)
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pRED: International, Interdisciplinary, and Impactful
Where I come from
The composition of the group I am in
Bioinformatics and Exploratory Data Analysis
in Pharmaceutical Sciences, pRED (N=~30)
We bring different expertise together
and learn from each other
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pRED: International, Interdisciplinary, and Impactful
Where I come from
The composition of the group I am in
Bioinformatics and Exploratory Data Analysis
in Pharmaceutical Sciences, pRED (N=~30)
Oncology Neuroscience and
Rare Diseases (NSRD)
Immunology, Infectious
Diseases, and
Ophthalmology (I2O)
We support three Disease & Therapeutic Areas with a strong pipeline
We bring different expertise together
and learn from each other
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HOW DOES DRUG DISCOVERY WORK?
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The history of Homo sapiens is a history of living with,
understanding, and fighting diseases
Trypanosomes
Plasmodium
Tropical diseases
~500,000 years ago
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The history of Homo sapiens is a history of living with,
understanding, and fighting diseases
Trypanosomes
Plasmodium
Tropical diseases
~500,000 years ago
A young patient of smallpox,
the first eradicated infectious disease
Hygiene, vaccination,
and antibiotics ~250 years ago
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The history of Homo sapiens is a history of living with,
understanding, and fighting diseases
Trypanosomes
Plasmodium
Tropical diseases
~500,000 years ago
A young patient of smallpox,
the first eradicated infectious disease
Hygiene, vaccination,
and antibiotics ~250 years ago
Chloral hydrate,
the first synthesized drug
Pharmaceutical drugs
~150 years ago
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The history of Homo sapiens is a history of living with,
understanding, and fighting diseases
Trypanosomes
Plasmodium
Tropical diseases
~500,000 years ago
A young patient of smallpox,
the first eradicated infectious disease
Hygiene, vaccination,
and antibiotics ~250 years ago
Chloral hydrate,
the first synthesized drug
Pharmaceutical drugs
~150 years ago
Nobel prize laureates 2018,
immune checkpoints,
and drugs targeting the pathways
Personalized precise
healthcare ~20 years ago
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How Do You Make A Drug? It’s simple, but…
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How Do You Make A Drug? It’s simple, but…
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Drug Discovery: From Bench To Bedside
Target Identification (TID)
Target Validation (TV)
Lead Identification (LID)
Lead Optimization (LO)
Clinical Development
Precl.
Dev.
TID LO TV LID Ph1 Ph2 Ph3 Ph4
New Drug
Application (NDA)
Investigational New Drug
(IND)
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Drug Discovery: From Bench To Bedside
Target Identification (TID)
Target Validation (TV)
Lead Identification (LID)
Lead Optimization (LO)
Clinical Development
Precl.
Dev.
TID LO TV LID Ph1 Ph2 Ph3 Ph4
New Drug
Application (NDA)
Investigational New Drug
(IND)
(and back)
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Drug Discovery: From Bench To Bedside
Target Identification (TID)
Target Validation (TV)
Lead Identification (LID)
Lead Optimization (LO)
Clinical Development
Precl.
Dev.
TID LO TV LID Ph1 Ph2 Ph3 Ph4
New Drug
Application (NDA)
Investigational New Drug
(IND)
Drug discovery is a long process (~10 years) , involving both forward and reverse translation
(and back)
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Modified from Paul et al. “How to Improve R&D Productivity: The Pharmaceutical Industry’s Grand Challenge.” Nature Reviews Drug Discovery, 2010
Target proposal & assessment
Bioinformatics and computational biology, a branch of applied
mathematics, are indispensable for modern drug discovery
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Modified from Paul et al. “How to Improve R&D Productivity: The Pharmaceutical Industry’s Grand Challenge.” Nature Reviews Drug Discovery, 2010
Target proposal & assessment
Bioinformatics and computational biology, a branch of applied
mathematics, are indispensable for modern drug discovery
Knowledge- and
data-driven target
proposal and
assessment
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Modified from Paul et al. “How to Improve R&D Productivity: The Pharmaceutical Industry’s Grand Challenge.” Nature Reviews Drug Discovery, 2010
Target proposal & assessment
Bioinformatics and computational biology, a branch of applied
mathematics, are indispensable for modern drug discovery
Knowledge- and
data-driven target
proposal and
assessment
Rational design
of small molecules,
nucleotides and
antibodies
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Modified from Paul et al. “How to Improve R&D Productivity: The Pharmaceutical Industry’s Grand Challenge.” Nature Reviews Drug Discovery, 2010
Target proposal & assessment
Bioinformatics and computational biology, a branch of applied
mathematics, are indispensable for modern drug discovery
Knowledge- and
data-driven target
proposal and
assessment
Mode-of-action (MoA)
and safety profiling of
hits/leads enabled by
omics technologies
Rational design
of small molecules,
nucleotides and
antibodies
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Modified from Paul et al. “How to Improve R&D Productivity: The Pharmaceutical Industry’s Grand Challenge.” Nature Reviews Drug Discovery, 2010
Target proposal & assessment
Bioinformatics and computational biology, a branch of applied
mathematics, are indispensable for modern drug discovery
Knowledge- and
data-driven target
proposal and
assessment
Mode-of-action (MoA)
and safety profiling of
hits/leads enabled by
omics technologies
Biomarker and
translational
support
Rational design
of small molecules,
nucleotides and
antibodies
![Page 24: Drug Discovery, Roche, and China: Some Personal Reflections · “How to Improve R&D Productivity: The Pharmaceutical Industry’s Grand Challenge.” Nature Reviews Drug Discovery,](https://reader035.vdocuments.mx/reader035/viewer/2022071218/60526dd62abcd7314e562740/html5/thumbnails/24.jpg)
Modified from Paul et al. “How to Improve R&D Productivity: The Pharmaceutical Industry’s Grand Challenge.” Nature Reviews Drug Discovery, 2010
Target proposal & assessment
Bioinformatics and computational biology, a branch of applied
mathematics, are indispensable for modern drug discovery
Knowledge- and
data-driven target
proposal and
assessment
Mode-of-action (MoA)
and safety profiling of
hits/leads enabled by
omics technologies
Biomarker and
translational
support
Rational design
of small molecules,
nucleotides and
antibodies
Bioinformatics and computational biology have become indispensable for modern drug discovery
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Increasing Cost and Decreasing Return Of Investment in Drug
Discovery
Vintage index =
revenue / investment
Modified from Smietana et al. “Improving R&D Productivity.” Nature Reviews Drug Discovery, 2015
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Increasing Cost and Decreasing Return Of Investment in Drug
Discovery
Vintage index =
revenue / investment
Modified from Smietana et al. “Improving R&D Productivity.” Nature Reviews Drug Discovery, 2015
Finding new drugs has become more challenging and expensive
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n. crisis
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n. crisis
Danger + Opportunity
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Three Challenges in Drug Discovery
• Integration and interpretation of public and internal data by advanced mathematics and informatics tools
Biology: Incomplete understanding of etiology and development of diseases
• Data-driven evaluation of in vitro and in vivo models with integrated prior knowledge
Efficacy: Variable translatability from preclinical models to patients
• New predictive tools using novel assays and computational-biology analysis
Safety: Suboptimal predictivity of human safety profiles by existing assays
We do research in computational biology, bioinformatics and biostatistics and
collaborate to address these challenges
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ROCHE IN CHINA, ROCHE FOR CHINA
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The Economist, August 2018
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The Economist, August 2018
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The Economist, August 2018
A revolution in regulation and drug discovery is happening in China
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Late Stage & Commercial Research & Early Development
External Innovation
gRED
pRED
Chugai
Pharma
Roche Partnering
Managing over 150 partnerships
Independent centers for
Research & Early Development
Glo
bal P
roduct
Develo
pm
ent
Manufa
ctu
ring
Com
merc
ialis
ation
R&D structure of Roche
17
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pRED Innovation Centers
18
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Roche’s Long Heritage in China
1st Roche office in Shanghai, 1926 Pharmacy with Roche products, 1921
36
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Roche’s Long Heritage in China
1st Roche office in Shanghai, 1926 Pharmacy with Roche products, 1921
37
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RICS Location
SRPL
20 5
• Zhangjiang Hitech Park:
Pharma valley of China
• ~600 companies in life science
• MNC, biotech, pharma,
medical device, CRO
• 40 k scientists in life science
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RICS Evolves into a Highly Productive Innovation Engine for
pRED
Our 15-year journey
MNC: Multi-national companies; I3: Immunology, Inflammation, Infectious Diseases
First clinical compound
(joint with US)
First home-grown compound
in GLP tox
2004-2010
• 1st MNC research center in
Shanghai
• Started chemistry support to
global
MedChem Hub
2010-1H2012
pRED China
• ~150 scientists
• Full discovery functions + Early
development
• Virology/Oncology/CVM
• Support PD SH/SRPL
Multiple clinical projects, multiple EIH
Full pre-clinical pipeline
2H2012-current
• First focused on ID, and then expanded to I3
• Successful built up HBV discovery platform and pipeline
• Partner with PD SH/SRPL for synergy
• CHF 136 mio for new research building
• ~140 Scientists (~40% PhD, ~25% overseas experience)
DTA Integration RICS
39
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RICS – Our Focus and Future Delivering long term value to Roche and China
• Continue to increase contribution to pRED portfolio
• Provide flexible functional and outsourcing support to global
• Explore agile R&D and external collaboration models
pRED Impact
• Launch early development studies in HBV
• Continue HBV and anti-biotic discovery; build and strengthen I2 group and projects; capture scientific synergies in oncology programs
• Center of Excellence for Small Molecule Research
I2O Focus
• Long term commitment in China and in Innovation
• Advance pipeline with parallel global/China development
• Serve unmet needs of Chinese & global patients
• Bring in cutting edge technologies and assets
• Develop local R&D talents
• Collaborate with local partners and HA
China Impact
40
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Future Home of Roche China and Welcome Your Visit 41
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Conclusions
1. I am Jitao David Zhang, a computational biologist working at Roche.
2. Drug Discovery is a long process involving both forward and reverse translation
3. Roche In China, Roche For China
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Conclusions
1. I am Jitao David Zhang, a computational biologist working at Roche.
2. Drug Discovery is a long process involving both forward and reverse translation
3. Roche In China, Roche For China
Questions? Ask Me Anything!
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Doing now what patients need next
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Acknowledgements
F. Hoffmann-La Roche Ltd
Clemens Broger† Faye Drawnel
Martin Ebeling Markus Britschgi
Manfred Kansy Roland Schmucki
Fabian Birzele Martin Stahl
Kurt Amrein Isabelle Wells
Annie Moisan Lu Gao
Luca Piali Lue Dai
John Young Ravi Jagasia
Lisa Sach-Peltason Marco Prunotto
Mark Burcin Hong Shen
Christoph Patsch Gang Mu
Michael Reutlinger Jianxun Jack Xie
Matthias Nettekoven Filip Roudnicky
Andreas Dieckmann Isabelle Wells
Klas Hatje Iakov Davydov
Laura Badi Ulrich Certa
Tony Kam-Thong Detlef Wolf
Corinne Solier Ken Wang
Thomas Singer Shen Hong
External to Roche
Stefan Wiemann
Wolfgang Huber
Ozgür Sahin
Agnes Hovrat
Katharina Zweig
Sally Cowley
Alexandros Stamatakis
Michael Prummer
Mark D. Robinson
Michael Hennig
Florian Haller
Jung Kyu Canci
Verdon Taylor
Maria Anisimova
Lorenzo Gatti
Erhard van der Vries
Ab Osterhaus
Nevan Krogan
Oliv Eidam 26
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Doing now what patients need next