Institute for
Scientific Exchange, Inc. Presents:
|
4th International Drug Discovery and Development
Picking the Perfect Drug Candidate November 30 Symposium Venue: |
The following
institutions are represented: Abbott Laboratories; Biacore AB;
Bristol-Myers Squibb; CEA-Saclay; ChemSilico LLC; DiscoveRx Corp.; Eppendorf
Array Technologies; GeneGo Inc.;
Gene Logic Inc.; GlaxoSmithKline;
Iconix Pharmaceuticals; Lexicon Genetics; Merck & Co. Inc.; Millennium Pharmaceuticals, Inc. ;Novartis Institutes for Biomedical Research; Pfizer Global Research and
Development; Pharmaceutical Profiles
Inc.; Qualyst, Inc; Simulations Plus, Inc.; Wyeth Pharmaceuticals
Planning
Committee/Program Chairs
Dr. Alan
G.E. Wilson, Lexicon Genetics
Dr. Albert
P. Li, The ADMET Group
Dr. Chandra Prakash,
Pfizer, Inc.
Dr. Jeff Waring, Abbott
Laboratories
Session
I:
Accurate
Assessment of Human DMPK Drug Properties: In Silico, In Vitro, In Vivo, Human
Early Clinical-Microdosing
Chair:
Alan G.E. Wilson 
9:00 AM 9:30 AM Key Note Lecture
The Importance of ADME/PK in
Reducing Attrition and Optimizing Success Rate (Alan
G.E. Wilson, Lexicon Genetics; The Woodlands, TX) In recent years there has been
increasing interest and application of ADME/PK and toxicity screening earlier
in the drug discovery process. This is in response to the observation that
ADME/PK and toxicity issues continue to be significant factors in overall
attrition and success rates. In recent
years we have seen an Increasing in an integrated strategy involving in silico,
in vitro and in vivo approaches. The ability to incorporate in silico, in vitro
and in vivo data into PK and PK/PD model development provides the opportunity
to improve the utility and translation of preclinical data to clinical
scenarios. This talk will discuss the strategic application of in silico, in
vitro and in vivo data in ADME/PK and toxicity evaluation. Opportunities to
optimize the utility of ADME/PK and toxicity data in reducing attrition and
optimizing success rate will be discussed.
Part
a:
In
Silico and In Vitro Approaches
Pharmaceutical Profiling in Drug Discovery: Using High-Throughput Screens to Improve Drug-Like Properties (Mark Tischler, Wyeth Pharmaceuticals; Pearl River, NY) We have developed a Pharmaceutical Profiling program within Wyeth to evaluate pharmaceutical properties of discovery compounds using high-throughput screens. These screens assist project teams in the design, synthesis and prioritization of lead compounds with improved drug-like properties. A review of the assays used for this program and their impact will be presented.
Collective Utilization
of In Vitro ADME Tools to Predict In Vivo DMPK Drug Properties in Early Discovery
(Jianling
Wang, Novartis Institutes for Biomedical Research, Cambridge, MA) The increased costs in the discovery
and development of a new drug and the high attrition rate of drug candidates in
development have changed the current drug discovery and development paradigm by
shifting towards the parallel assessment of efficacy and comprehensive
absorption, distribution metabolism and excretion (ADME) properties of drug
candidates. Multiple predictive filters
of ADME properties (such as in silico,
high-throughput in vitro and low
throughput follow-up assays) are established in the various stages of drug
discovery and development process to flag and address the potential ADME issues
of new chemical entities (NCEs). It is
critical that such a landscape will lead to the most efficient prediction of in vivo ADME matters, with timely and
cost effective fashions. Collective
utilization of those predictive tools will improve the productivity of drug
discovery and development by prioritizing the drug-like NCEs. In this presentation, the latest automated
ADME suite will be introduced. Case
studies will also be presented to demonstrate the impacts of those early in vitro predictive tools on the success
of drug discovery projects.
In Vitro Screening for
Acceptable Metabolic Stability (Chuang Lu, Millennium Pharmaceuticals, Inc.;
Cambridge, MA) Determining
intrinsic clearances (CLint) of drug candidates helps
to evaluate if metabolism is the main clearance pathway, when compared with
total body clearances CLp in vivo. It also helps
in rank ordering metabolic stabilities of drug molecules. Lastly, it helps in assessing species
differences in metabolic clearance and for projecting metabolic clearances of
drug candidates in humans. The advantages and limitations of
using microsomes, S9, and hepatocytes for determining intrinsic clearances will
be discussed. A high-throughput
automated system using commercially available hardware and software for
incubation and LC/MS/MS analysis will also be presented.
B-CLEAR(tm):
Sandwich-Cultured Hepatocytes for Assessment of Drug Transport and
Hepatobiliary Disposition (Kenneth R.
Brouwer, Qualyst, Inc;
Systems Biology for
Prediction of New Compounds Metabolism and Toxicity (Yuri Nikolsky, Ph.D., GeneGo, Inc.) Accurate early prediction of human metabolism and toxicity
for new compounds in human is a long term goal in drug discovery. Traditional in silico, in vitro and in vivo ADME/Tox
methods are now complimented with high-throughput experimental approaches such
as toxicogenomics, proteomics, metabonomics and pharmacogenomics which can
provide a global view of the complete biological system being modulated by a
compound. Functional interpretation and relevance of these complex
multidimensional data to the observed phenotype in human is the focus of the
budding field of Systems ADME/Tox. I will overview this novel systems approach,
including available resources, major public and commercial efforts in the area.
I will also demonstrate the case studies with toxicogenomics and compounds data
using MetaDrug, as systems pharmacology suit developed at GeneGo.
Optimizing the Hit-to-Lead Process Using SPR Analysis
(Stefan Lφfεs,
Part
b:
Preclinical
and Early Clinical Approaches
The Use of Calculated Molecular
Features to Predict the Success or Failure of Extrapolating Human
Pharmacokinetic Properties from Preclinical Animal Data (Larry J. Jolivette, GlaxoSmithKline, King of Prussia, PA) Despite advances in in vitro and in silico modeling, the use of preclinical animal pharmacokinetic
data has remained the primary means for projecting human pharmacokinetics. An approach wherein calculated molecular
features are used to assess the likelihood of success or failure of preclinical
data to project human pharmacokinetics has been investigated. Data will be presented that suggest that such
an approach may be useful to predict extrapolative outcome for human plasma
clearance, as well as to prospectively aid in the selection of an approach
preclinical species from which to project human clearance.
Microdosing as a Tool in Early Development (Steve Matheson, Pharmaceutical Profiles Inc.;
Evaluation of Microdosing Strategies for Studies in Preclinical Drug
Development (Punam Sandhu, Merck & Co.
Inc.; West Point, PA)
The primary
objective of this study was to examine whether Compound A (a nucleoside
analogue) displayed linear kinetics across sub-pharmacological (microdose) and
pharmacological dose ranges in an animal model, prior to initiation of a human
microdose study. The present study is
the first in providing a comparison of the PK of a development candidate at
pharmacological versus sub-pharmacological doses employing microdosing
strategies. The data demonstrated that
the PK properties of Compound A were similar following dosing at 0.02 mg/kg as
at 1 mg/kg, indicating that for Compound A, the kinetics appear to be linear
across this 50-fold dose range.
The Bioanalytical Support of
Microdose Studies Using Conventional Triple-Quadrupole LC/MS/MS Techniques (Christopher
L. Holliman, Pfizer Global Research and Development,
END OF DAY
Session
II:
Approaches
to Improve the Accuracy of Predicting Drug Safety:
Chair: Jeff Waring 
8:50 AM
9:00 AM Exhibitor Presentation Simulations Plus, Inc.
9:00 AM 9:30 AM Key Note Lecture

Challenges in Early Discovery
Toxicity Testing (Christopher A.
Lipinski, Pfizer Global R&D (Ret.),
Part
a:
In
Vitro and In Silico Approaches
New
Technologies and Screening Strategies for Hepatotoxicity: Use of In Vitro
Models (Donna Dambach, Bristol-Myers
Squibb;
Development of Cellular ADME/Tox Assays Using b Galactosidase Enzyme Fragment
Complementation (EFC) (Lindy Kauffman,
DiscoveRx Corp.;
Recent Results on In Silico Models for Hepatotoxicity for
both Rodent and Humans. (Joseph R.
Votano, ChemSilico LLC,
Automated
Machine Learning Techniques Applied to Prediction of Drug ADME and Toxicity (Robert Fraczkiewicz, Simulations Plus,
Inc.; Lancaster, CA) The interest of pharmaceutical companies in time- and cost-effective
methods of in silico drug lead screening has been growing rapidly. Methods for in silico estimation of ADMET
properties before respective molecules are actually synthesized play a pivotal
role in this process. Recent years witnessed the emergence of machine learning
tools enabling pharmaceutical researchers the construction of high-quality
predictive models. Full automation of this complex process of mathematical
model building makes these tools accessible to non-expert users and minimizes
its time and cost.
Part
b:
Toxicogenomics
Approaches
DNA Microarrays as a Tool in Toxicogenomics Rat Hepatocyte (Francoise de Longueville, Eppendorf Array
Technologies;
Use of a Chemogenomics
Reference Database to Improve Drug Candidate Selection and to Understand
Mechanisms of Chemical Toxicity and Action (Brigitte Ganter, Iconix Pharmaceuticals; Mountain View, CA) Chemogenomics
is the study of pharmacology and toxicology using a combination of traditional
drug development practices and new genomic tools. As a result, chemogenomics can uncover
previously unappreciated properties of a candidate, both good and bad. We have created a database on over 600 drugs,
chemicals, and toxicants in short term rat studies and have mined this database
creating a library of gene expression based biomarkers (Drug Signatures). This talk will describe the benefit on drug
development when a reference database is used to contextually analyze gene
expression of drug development compounds.
Use of Toxicogenomics
In the Rat to Detect Idiosyncratic Hepatotoxicants Prior to Human Exposure (Donna L. Mendrick, Gene Logic Inc.; Gaithersburg,
MD) Human
idiosyncratic hepatotoxicants are not detected in classical preclinical testing
or, for the most part, in human clinical trials. Their effect, unfortunately, is recognized
only after thousands or more patients have been exposed to the drug. New approaches are needed to detect such
drugs prior to human exposure.
Toxicogenomics applied to a preclinical species (rat liver and primary
rat hepatocytes) has shown the ability to detect idiosyncratic drugs. This presentation will show examples of
prototypical compound and demonstrate how genomic changes in the rat liver or
primary rat hepatocytes can lead to their detection.
END OF DAY
Roundtable
Session:
Current
Strategies for Candidate Selection from the Industry Perspective
Chair: Chandra Prakash
9:00 AM 9:30
AM Key Note
Lecture
Industrial Viewpoint: Strategies for the Selection of Drug
Candidates for Development (Chandra Prakash, Pfizer Global
R&D, Groton, CT) The drug development process is scientifically complex and full of
risks, and is therefore, very time consuming and expensive. Recent data
indicate that the discovery and development of a new drug costs around 900
million dollars and takes 10-12 years for the drug to reach the marketplace. In
addition, 90% of all drugs in clinical development fail to make to the market.
Even after a drug is marketed there is the possibility of some undesired side
effects, which were not seen in earlier clinical trials. In these cases the drug is either withdrawn
from the market or acquired a warning label.
Efforts are being made to reduce attrition of drug candidates during the
various stages of drug discovery and development, and to bring safer drugs to
the market. The major reasons for the attrition and serious side effects are
sub-optimal drug metabolism and pharmacokinetic (DMPK) profile, poor clinical
efficacy and the formation of reactive metabolites. Given the inherent
inefficiency of the development, it is essential to optimize/minimize such
factors early in drug discovery process.
This has led to greater integration of DMPK functions into early stages
of drug discovery process and in addition to potency and selectivity; drug
candidates are selected on the basis of DMPK properties, e.g. low clearance,
good oral bioavailability, optimum half-life, and an acceptable metabolism
profile in preclinical species and humans.
This presentation will summarize the in vivo/in vitro techniques used
for rapid determination of the DMPK profiles including absorption, metabolic
stability, metabolite structures, cytochrome P450 inhibition/induction, and
pharmacokinetics and role of these studies in the selection of the drug
candidates for further development. Knowledge of metabolic profiles of these
candidates in an early stage of drug discovery is essential to select compounds
with favorable pharmacokinetic credentials and to aid medicinal chemists for
rational drug design.
Current Strategies for
Candidate Selection from the Industry Perspective: Bristol-Myers Squibb
(Donna Dambach, Bristol-Myers Squibb; Princeton, NJ) This presentation will overview an
example strategy for candidate lead optimization during the discovery process
and will provide prospective on the foundation behind the strategy, as well as
examples of data interpretation and integration that result in an advancement
recommendation related to safety issues.
Current Strategies for Candidate Selection from the Industry Perspective: Millennium Pharmaceuticals, Inc. (MPI) (Frank W. Lee, Millennium Pharmaceuticals, Inc.; Cambridge, MA) MPI DMPK has adopted the Discovery Assay by Stage (DABS) paradigm to support the discovery effort. The DABS provides the team with a rationale for the types of studies to be done during hit-to-lead, early and late lead optimization stages of discovery, as well as outlining the deliverables (objectives) at those stages. DABS has proven to be efficient in the utilization of resources and tracking of the progress of compounds and projects.
Optimizing Candidate Selection: Current Strategies and Approaches (Alan G.E. Wilson, Lexicon Genetics; The Woodlands, TX) Improving success rate by optimizing candidate selection remains a significant challenge for drug development. It is becoming increasingly apparent that we need to improve the value and translation of early screening and preclinical data, to optimize clinical efficacy, ADME/PK and safety properties. Over the past decade, the value of early screening has been demonstrated in the decrease in attrition due to ADME/PK issues. We are in an exciting era of drug discovery and development with a plethora of new technologies and approaches. These herald the opportunity to significantly transform our drug discovery process and the translation of preclinical data to improve clinical success. This presentation will discuss current strategies, technologies and approaches being utilized to optimize candidate selection and improve the translation into the clinic.
END OF
CONFERENCE
About the Institute for
Scientific Exchange
The mission
of The Institute for Scientific Exchange, Inc. is to advance science via communication (i. e. symposia, training
courses, publications). The events held
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POSTER
PRESENTATIONS:
Poster
Presentations are always encouraged. Please submit your poster abstract for
approval by the organizing board by October 30th. Poster size should be no larger than 4
feet high by 7 feet long. Abstracts
of posters will be included in the participant binder and in the ISE website. There is no formal poster presentation
scheduled. All posters will remain
displayed throughout the conference.
Please be prepared to display your poster during registration on Tuesday,
November 29th or before the first session begins on Wednesday, November
30th. Poster presenters will have ample time for discussion during
breaks and the Welcome reception.
Submit
posters abstracts for approval to