Building a strong anti-malarial drug pipeline based on phenotypic whole organism screening Annie Mak, PhD presenting on behalf of Malaria project team at GNF September.

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Transcript Building a strong anti-malarial drug pipeline based on phenotypic whole organism screening Annie Mak, PhD presenting on behalf of Malaria project team at GNF September.

Building a strong anti-malarial drug
pipeline based on phenotypic
whole organism screening
Annie Mak, PhD
presenting on behalf of Malaria project team at GNF
September 22, 2011
Outline
• An introduction to GNF
– Our small molecule drug discovery infrastructure
• Anti-malarial drug discovery
• AD-HTS in the 2010s – which direction are we heading
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GNF
Genomics Institute of the Novartis Research Foundation
Mission: To apply innovative technologies to the discovery of new biological processes and
the underlying mechanisms of disease, and to develop new or improved human therapeutics
which contribute to the NIBR preclinical pipeline
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Funded by the Novartis Research Foundation
Located in La Jolla, California
Moved into permanent 260,000 square foot research campus in 1Q 2002
Additional 24,000 square foot manufacturing facility for our automation system
(www.GNFSystems.com)
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Examples of GNF Technology Platforms
High-Throughput Compound Screening
High-Content Imaging
(2.5 M compounds, 600K academic collaboration)
(annual throughput of >10 M wells of
confocal Opera images)
Protein and Antibody Engineering
Automated Protein Production
and Purification
Automated Cell/Compound Profiling
Automated Functional Genomics
(multiple cell lines/assays; fewer compounds)
(cDNA, siRNA)
Protein X-ray Structure Determination
Core technology platforms provides much versatility and flexibility,
allowing us to focus on interesting science.
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Small Molecule Drug Discovery Infrastructure
Target
Validation
D0
HTS
D1
Exploratory
Chemistry
D2
Full Lead
Optimization
D3
Novartis
Infrastructure
Candidate Selection
Point
Clinic
GNF
Medicinal & Analytical Chemistry
• Experienced medicinal chemistry
staff
• High-throughput analytical and
purification technology
• Sophisticated compound
management
Pharmacology/ADMET
• In vitro and in vivo ADMET
capabilities
• State-of-the-art bioanalytical
technology
• In vivo efficacy models in
metabolic disease, immunology
and oncology
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Exploratory/Target ID Tools
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Linker Chemistry & SAR
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Affinity methods/ Target pull-down
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Pathway profiling
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Functional genomics collection
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Solexa Sequencing
Discovery of Antimalarials
• GNF joined the malaria initiative led by Novartis Institute for Tropical
Diseases (NITD) to fight against Malaria.
• The NGBS consortium partner includes:
– Biomedical Primates Research Center (BPRC), Rijswijk (NL)
– Swiss Tropical Institute (STI), Basel (CH)
MMV Portfolio, 1st Quarter, 2011
Research
Lead Gen
Translational
Lead Opt
Preclinical
Novartis
Novartis
MK 4815
miniportfolio
2 Projects
(Merck)
GSK
GSK
GNF156
miniportfolio
1 Project
Novartis
Broad/Genzyme
Aminoindole
miniportfolio
Broad/Genzyme
AN3661
Anacor
Many others …
Many others …
Phase I
Tafenoquine
GSK
Development
Phase IIa
OZ 439
(Monash/UNMC/
STI)
NITD609
Novartis
Phase IIb/III
Registration
AZCQ
Eurartesim™
Coartem®-D
Pfizer
sigma-tau
Novartis
Pyramax®
Shin Poong/University
of Iowa
Phase IV
ASAQ Winthrop
sanofi aventis/DNDi
IV artesunate
Guilin
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Malaria
• Medical Need
Infective
mosquito bite
– 500 million cases annually worldwide
• Nearly 1 million deaths/yr, >75% under age of 5
Hepatic phase:
Normal hepatic
phase leading to
primary infection
Erythrocytic
phase
– Resistance to current therapies widespread
with exception of artemisinin derivatives
Primary infection
• Increased parasite clearance times for Artemisininbased therapies seen in Thai-Cambodian border
• Current artemisinin-based combination therapies
(ACTs) contraindicated in 1st trimester
– No current therapies address need for bloodstage, liver-stage, and transmission blocking
activity to most marketed
Drug resistance
Ring ->
Troph
Protracted hepatic phase
leading to relapse infection
drugs widespread…
Relapse infection
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Scientific Approaches
Cell-based screen approach
• Majority of anti-infectives discovered through cell-based screening by facilitating
parallel interrogation of druggable targets and also addresses compound
permeability issues
• HTS on >2M compounds: P. falciparum infected human red blood cells (RBCs)
• Liver–stage infection assay (P. vivax infection)
Target-based screen approach
• Collaboration with academic institutes
• Plasmodium kinases: such as CDPK1, CDPK5, GSK3, CK2α
• Additional biochemical targets screening at GNF on cell-active compounds
Target identification methods
• Lab-evolved resistant strains upon compound treatment
• Tiling array analysis and whole-genome sequencing to help MoA determination
• Affinity chromatography/proteomics analysis
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Fully automated GNF Screening System
Weigh station
Dispensers
Centrifuge
FLIPR
Viewlux
Pintool
Assay Plate
Incubator
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Compound Plate
Storage (486
slots each)
Fully automated GNF Screening System
Weigh station
Assay Protocol
Plate
Centrifuge
Dispensers
media
Pintool in 10nl of compounds
FLIPR
Plate parasite/blood mixture
Move plates offline for
incubation for 3 days
Dispense lysis buffer with
SyBR Green
Viewlux
Pintool
Assay Plate
Incubator
Read plates offline with
Analyst GT
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Compound Plate
Storage (486
slots each)
Malaria Cell-based Screening Summary
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P. falciparum infected human RBCs: Screen
measured production of new DNA over 72
hours using SYBR green
> 2M compounds screened at 1.25 mM (3d7)
4851 hits < 1.2 mM EC50 vs W2 and/or 3d7
– “Malaria Box” public resource for
malaria research community
– https://www.ebi.ac.uk/chembldb/inde
x.php/compound
1,256 < 200 nM EC50 vs 3d7
>200 scaffolds represented in the
reconfirmed compound set
Tremendous amount of
chemical diversity from
screen
HTS reported in: Plouffe and co-workers PNAS 2008, 9059.
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Selection criteria for cell-based hit-to-lead optimization
A new antimalarial should ideally meet the following criteria:
(i) kills parasite blood stages;
(ii) is active against drug-resistant parasites;
(iii) is safe (i.e., no cytotoxicity, genotoxicity, and/or cardiotoxicity); and
(iv) has pharmacokinetic properties compatible with once-daily oral dosing.
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~5K
reconfirmed blood-stage hits from HTS identified for further evaluation
were determined by
– Less than 1.25 µM EC50 with activity in 15 strain resistance panel
• Less than 5-fold potency shift between strains
– High selectivity in 6-cell line toxicity panel (SI > 20-fold)
– Novel chemotype for malaria
– Ease of synthesis (less than 7 steps)
– Good solubility, metabolic stability and limited CYP450 inhibition
– Multiple actives within a scaffold (if library diversity allows)
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Scientific Approaches
Cell-based screen approach
• Majority of anti-infectives discovered through cell-based screening by facilitating
parallel interrogation of druggable targets and also addresses compound
permeability issues
• HTS on >2M compounds: P. falciparum infected human RBCs
• Liver–stage infection assay (P. vivax infection)
Target-based screen approach
• Collaboration with academic institutes
• Plasmodium kinases: such as CDPK1, CDPK5, GSK3, CK2α
• Additional biochemical targets screening at GNF on cell-active compounds
Target identification methods
• Lab-evolved resistant strains upon compound treatment
• Tiling array analysis and whole-genome sequencing to help MoA determination
• Affinity chromatography/proteomics analysis
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Scientific Approaches
• Affinity chromatography/proteomics analysis
• Lab-evolved resistant strains upon compound treatment
• Tiling array analysis and whole-genome sequencing to
help MoA determination
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From an HTS hit to Phase I candidate
• Collaboration with Novartis Natural Products Unit and NITD
chemistry on the development of NITD609
• Potent (IC50< 1 nM) blood stage compound
• Potent transmission-blocking activity
• Low clearance, moderate-to-long half-life: predicted human
efficacious dose < 100 mg
• Currently in healthy volunteer trials
• Clinical efficacy studies in mid-2011
• First in class compound with efficacy superior to standard
anti-malarial drugs in mouse efficacy model
NITD609 activity on clinical isolates
of P. vivax (top) and P. falciparum
(bottom)
chloroquine artesunate NITD609
• Genome wide scanning of drug resistant mutant reveals
that NITD609 targets PfATP4 and inhibits protein synthesis,
a distinct MoA different from Arteminisin.
chloroquine artesunate NITD609
awarded MMV Project of the Year 2009
Rottmann et al Science, 2010
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On-going activity in the pipeline
Hit series among others: Imidazolopiperazines
• Not identified in >100 HTS screens performed at GNF
• Novel chemotype with a mechanism of action distinct from that of NITD609
• Simple chemical synthesis
• First-in-class compound that has broad activity across parasite life cycle
• Favorable preclinical safety profile, TI > 30 (rat, dog)
Taken from MMV.org:
• GNF 156, displays pharmacological properties compatible with a target product
profile for the development of an uncomplicated malaria treatment.
• Good Laboratory Practice toxicology studies will commence in the first quarter of
2011 to more carefully assess the safety profile of this compound with the aim of
starting a Phase I study in healthy human volunteers by the end of 2011/early
2012.
Imidazolopiperazines: Hit to Lead Optimization of New Antimalarial Agents J. Med. Chem., 2011, 54 (14), pp 5116–5130
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MedChem lessons learnt so far
• SAR can be challenging, but getting hits from HTS with good
SAR is critical
• Better to have SAR than absolute potencies off the deck
• Potencies can be optimized relatively quickly compared to
other parameters
• Molecular weights greatly effect the cellular optimization 
Forces the chemistry to be very atom economical (high
ligand efficiencies)
• Weekly cytotoxicity, protein binding shift potency, and
cross-resistance data to other scaffold lab-evolved
resistance strains really allows for better optimization of
other parameters
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Acknowledgements – Malaria Project Team
Chemistry
• Arnab Chatterjee
• Advait Nagle
• Tao Wu
• Tomoyo Sakata
• Robert Moreau
• Jason Roland
• Pranab Mishra
• David Tully
• Valentina Molteni
Biology
• Kelli Kuhen
• Carolyn Francek
• Zhong Chen
• Kerstin Henson
• Rachel Borboa
• James Gilligan
• Tae-gyu Nam
• Neekesh Dharia
• David Plouffe
• Case McNamara
• Stefan Meister
• Elizabeth Winzeler
Pharmacology/Analytical
• Tove Tuntland
• Perry Gordon
• Jonathan Chang
• Matthew Zimmerman
• Liang Wang
• Todd Groessl
• Barbara Saechao
• Bo Liu
• Chun Li
• David Jones
• Wendy Richmond
• Kevin Johnson
• Tom Hollenbeck
• Lucas Westling
• Michael Kwok
• Tiffany Chuan
• John Isbell
Informatics
• Jeff Janes
• John Che
• Yingyao Zhou
Swiss Tropical and Public Health Institute
• Matthias Rottmann
• Christoph Fischli
• Sonja Maerki
NITD
• Bryan Yeung
• Zou Bin
• Anne Goh
• Suresh B. Lakshminarayana
• Veronique Dartois
• Thomas Keller
• Thierry Diagana
Core team
• Margaret Weaver
• Xingmei Han
• Giancarlo Francese
• Sreehari Babu
• Rita Ramos
• Karen Beltz
• Bo Han
• Wen Shieh
• Markus Baenziger
Novartis Tropical Medicines
• Heiner Grueninger
• Anne-Claire Marrast
• Paul Aliu
• Gilbert Lefevre
External collaborators
Clinical team
• Montip Gettayacamin (AFRIMS - Bangkok)
• Jens Praestgaard
• Robert Sauerwein (NCMLS - The Netherlands) • Ruobing Li
• Ian Bathhurst (MMV)
Assay Development HTS
• Achim Brinker
• Jason Matzen
• Paul Anderson
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GNF Management
• Jennifer Taylor
• Richard Glynne
• Martin Seidel
• Peter Schultz
External support and
advice
• Marcel Tanner,
Swiss Tropical
Institute,
• Nick White, Oxford
University
AD-HTS in the 2010s
• New technology/assay format development
• Closer to biology  More complicated assays
“Contribution of phenotypic screening to the discovery
of first-in-class small molecule drugs exceeded that of
target-based approaches.”
“An additional challenge is to effectively incorporate
new screening technologies in phenotypic screening
approaches, which is important for addressing the
traditional limitation of some of these assays: a
considerably lower throughput than target-based
assays.”
Nature Reviews Drug Discovery 10, 507-519 (July 2011)
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Continual upgrades to support various screening modalities
New readers to improve sensitivity
and speed
Compound transfer via
Acoustic Droplet Ejection
more flexibility in
experimental design
(eg. combinations;
anaerobic organisms)
Improve washing capabilities to
support non-homogeneous assays
 bead-based ELISA, FACS, high
content imaging
*Note: this washer was not implemented after
evaluation.
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High content imaging in HTS
Interesting
Phenotype
(Blackbox!)
Rigorous Assay
Development
Robust and
accurate
automation for
HTS
Imager to
capture
sufficient
resolution and
statistics
Image analysis
algorithm in
place
IT infrastructure
to handle data
Nov 2010 – Feb 2011: Completed full deck HCI-HTS
• Nuclear translocation assay detected by IF staining
• Automation handled 200 plates/batch, 5 week campaign
• 3.9 million wells imaged by Opera (confocal microscope)
• Read time: 80 days
• Data generated: 9 TB
• Data analysis script developed in-house
 Infrastructure and expertise in place to handle HCI in a HTS scale
New assays under development:
• Cellular differentiation – specific marker expression or
morphological changes
• Infection – host vs pathogen
• “New tricks to old questions” – DNA repair assayed by
chromosome breakpoint detection; cell cycle analysis
by multiplexing specific markers
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Vesicle
Detection
Infection
of mammalian cells
Myotube
Detection
Acknowledgement
Assay Development – HTS:
Annie Mak’s group:
Jason Chyba
Vicki Zhou
Sandra Gao
Richard Brusch
Amy Foraker
Ingo Engels & his group
Automation/Engineering:
Dan Sipes
Jason Matzen
Paul Anderson
Mike Garcia
Tim Smith
Drew Gunderson
Dan Rines
… many others
Informatics:
Jeff Janes
Julia Turner
Ghislain Bonamy
John Joslin & his group
Ed Ainscow
Jennifer Harris
Thank you for your attention
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Various modalities are supported
Luminescence
Fluorescence
Absorbance
TR-FRET
High content imagers
Compound/Library transfer via:
Acoustic Droplet Ejection, Pintool
FLIPR, Lumilux
(kinetic fluorescence/luminescence)
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Innovative Solutions that make Screening Work
 Specialized team of biologists in assay development and miniaturization (eg. from 24w
down to 1536w format)
 Dedicated and experienced system engineers to run the automation system
 On-the-fly data analysis + system alerts to monitor progress
 Extensive informatics support for data analysis (kinetic reads, imaging assays)
 Large hitpick capacity
Typical full deck HTS = 4M wells in ~2-3 weeks  Hitpick of 20K
 Overall, lower opportunity cost means more opportunistic approach to HTS
Gantt Chart
Trace file from on-the-fly data analysis
Time
Plate
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