Institute
for Scientific Exchange, Inc. Presents:
|
3rd International Drug Discovery and Development
Pre-Conference: Emerging
Technologies Main Symposium Venue: |
The following institutions
are represented: Advanced Pharmaceutical Sciences, Inc.; Chiron
Corporation; Brock Scientific Consulting, LLC; Capgemini US, LLC; GeneGo; ChemSilico LLC; Kyoto
University; Hurel Corp.; BioSeek, Inc.; Molecular Devices Corporation; KineMed
Inc.; Cyprotex Discovery Ltd.; J&J Pharmaceutical R&D; Hoshi
University; University of Tokyo; Santen Pharmaceutical Co., LTD.; AstraZeneca
R&D Sodertalje; Pfizer Global R&D; Sankyo Pharma Development;
Millennium Pharmaceuticals Inc.; Eisai Co., Ltd.; CeeTox, Inc.
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PARTICIPATING EXHIBITORS:


Planning
Committee/Program Chairs
Dr. Alan
G.E. Wilson, Lexicon Genetics
Dr. Albert
P. Li, Advanced Pharmaceutical Sciences,
Inc.
Dr. Dale
Johnson, Chiron Corporation
Dr. Yuichi
Sugiyama,
Dr. Claire
Mackie, Johnson & Johnson PRD
Pre-Conference: Emerging
Technologies
Chair:
A. P. Li and Sean Ekins
Merging Predictive ADME/TOX with Systems Biology (Sean Ekins, GeneGo;
Recent Advances in Development of In Silico
Predictors for Important ADME/Tox Properties (Joseph
Votano, ChemSilico LLC; Tewksbury MA) Application of in
silico ADME/T predictive tools in both the early and enhancement drug discovery
stages can be of immense help in development of successful therapeutic drug, or
the converse. Robust ADME/T predictors, able to handle new chemical entities, depend
on the chemical space of compounds used, types of molecular descriptors
employed, and learning or training algorithms used in QSAR model development.
These factors are difficult in practice to bring together. Recent results in
use of topological descriptors(2D descriptors) coupled to various QSAR modeling
algorithms will be discussed as applied to aqueous solubility, HIA (human
intestinal absorption), and Ames genotoxicity covering over 11,000 compounds
contained within three datasets. What are the most important molecular
descriptors among these models and their physio-chemical interpretation for the
chemist are discussed. Several comparisons of results found among different
training and learning algorithms (who wins) and several comparisons of results
with other published models will be examined. Finally, the extent of
applicability so far found for use of topological descriptors and modeling
techniques is summarized for other ADME/T properties.
In Silico Pharmacokinetics for Accelerating Early Drug Discovery (Fumiyoshi Yamashita,
Predictive, Structure Based, In Silico CYP450 Metabolism: Principle, Problems, and Progress (Dan L. Harris, Molecular Research Institute, Mountain View, CA) We are at the dawn of an era where the seminal crystallization of the principal hepatic P450s is at hand. This enables us to develop structure-based methods of P450 metabolite prediction that, unlike multivariate statistical methods, does not require the use of training sets. We can now rapidly predict the principal products of CYP450 metabolism of drugs by a combination of ligand-P450 configurational sampling and electronic determinants of metabolism by the active heme species of P450s. Principles, problems, progress and prospects of this approach will be described by discussion of test problems related to development of a desktop computer predictive toxicology tool for rapid screening of lead compound databases.
Integrated Discrete Multiple Organ Culture (IdMOC): A Novel In Vitro System for the Estimation of
In Vivo Drug Properties (Albert P. Li, APSciences, Inc.,
Baltimore, MD) In vitro assays involving primary cells are used routinely to evaluate
organ-specific toxic effects, for instance, the use of primary hepatocytes to
evaluate hepatotoxicity. A major drawback of an in vitro system is the lack of
multiple organ interactions as observed in a whole organism. A novel cell
culture system, the Integrated Discrete Multiorgan Culture (IDMOC) is described
here which allows the culturing of primary cells from multiple organs in a
single plate. The idMOC which is specially manufactured to have wells inside a
well, thereby allowing each cell type to be placed in an inner well in a medium
developed for optimal growth and differentiation. As each cell type may have
different growth requirement, the cells are cultured so that the multiple cell
types are ready for toxicity test on the same day. On the day of testing, the
wells are connected via an overlying medium with the test chemical. After
testing, the overlying medium is removed and each cell type is evaluated for
toxicity using appropriate endpoints. Results on the cytotoxicity of two
anticancer agents: tamoxifen and
cyclophosphamide with an idMOC with primary cells from multiple human
organs: liver (hepatocytes), kidney
(kidney cortical cells), lung (small airway epithelial cells), central nervous
system (astrocytes), blood vessels (aortic endothelial cells) versus that of
the MCF-7 tumor cell lines showed that the IDMOC represent a useful in vitro
model for the evaluation of chemical toxicity.
Hurel, An In Vivo Surrogate
Assay Platform for Cell-Based Studies (Gregory Baxter, Hurel Corp;
High Throughput Human Biology for Improved Drug Discovery (Ellen L. Berg, BioSeek, Inc.,
Advances in Hit-to-Lead and Lead Optimization for Ion Channel Targets Using
the IonWorks* HT High-Throughput Electrophysiological Screening System (Shawn Handran, Molecular Devices Corporation;
5:00 PM - 5:45 PM
Stable Isotope/Mass Spectrometric
Measurements of Molecular Fluxes In Vivo: Emerging Applications in Drug
Development (Scott Turner, KineMed Inc;
END OF PRE-CONFERENCE
MAIN
Strategies and Novel Preclinical and Clinical Approaches for
Successful Drug Development
Session 1: Strategy for Success
Chair: Dale
Johnson
8:50 AM - 9:00 AM - Exhibitor Presentation - Simulations Plus, Inc.
Main
Summit-Keynote Address
Innovative
Strategies for Successful Drug Development (Dale Johnson, Chiron Corporation, Emeryville, CA) It has been
estimated to cost $800 million and 10 to 15 years to bring a drug to the market
using the "conventional" approach.
Innovative strategies for drug development, taking advantage of the
latest technological advances to decrease the cost and time via the enhancement
of rate of success, will be presented.
Partnerships In Pharmaceutical Preclinical Development: The Role of the CRO (William J. Brock, Brock Scientific Consulting, LLC, Montgomery Village, MD) Early lead candidate selection is dependent upon balancing the potential toxicity of the candidate compound, the cost associated with that development and ultimate market potential. Although lead candidate selection relies more on new technology, e.g., genomic data, it is the development of reliable preclinical data that can determine the long-terms success of a new molecular entity. A professional partnership with contract research organizations (CRO) is a necessary part of a successful, cost effective preclinical program that results in outcomes that are scientifically defensible. The needs for CRO support are different for the small companies compared with “big pharma” and these differences are often reflected in timing and cost. We will explore these differences, demonstrating successes of partnerships in cost effective, scientifically valid programs.
Organizational Trends in Early Stage Drug Development (Larry
Kupeli, Capgemini
Session 2: Preclinical Drug
Metabolism and Pharmacokinetics Approaches
Chair: Claire Mackie
Decision-making from In Vitro ADME Data by Extrapolation to In Vivo PK (Gareth
King, Cyprotex Discovery Ltd., Cheshire, UK) Discovery
compounds are typically assessed for absorption, distribution, metabolism, excretion
(ADME) and physicochemical properties at different stages in the discovery
process. The data is used to make decisions regarding lead optimisation
and prioritisation. This approach does not necessarily result in
compounds that have acceptable exposure levels. Physiologically-based
pharmacokinetic (PBPK) prediction can be a valuable tool to integrate and
interpret key ADME data for more effective decision-making. By
considering core ADME and physicochemical properties at the same time, PBPK
modelling can estimate likely plasma concentration/time profiles in humans or
rats for hundreds of compounds at a time. This approach has resulted in
enrichment of lead series for compounds with better pharmacokinetic potential
and identification of the compound properties that effect the greatest
improvement in pharmacokinetics. Predicting plasma concentrations from
ADME and physicochemical data has been facilitated by high throughput in vitro
screening capability which cost-effectively delivers consistent, accurate
compound data within days as a result of a highly automated plate-based
process.
The Potential of
Preclinical Biomonitoring and the Use of EEG and Microdialysis in
Drug Discovery: Optimization on Interfacing with Drug Development (W.H.I. (Pim) Drinkenburg, J&J Pharmaceutical
Research and Development; Beerse, BELGIUM) The biomonitoring concept aims to de-risk CNS compound transition from
pre-clinical to clinical phases of DD based on in vivo data, such as rodent
sleep-wake architecture analysis or brain microdialysis in freely-moving
animals. Biomonitoring models are characterized by stress-free environments,
multiple simultaneous physiological and behavioral variables, and prolonged
registration periods allowing to directly link to PK/PD models. Biomonitoring
data that helped bridging the gap between animal and human research will
exemplify this approach’s value, especially for novel drugs in psychiatry.
New Models/Techniques in Discovery
to Study In Vivo PK - How These
Techniques Can be Extended to Study PK/PD (Claire Mackie, J&J Pharmaceutical Research & Development;
Beerse, Belgium) Ideal drug candidates should possess
both acceptable PK and PD properties in
line with the desired target product profile. The importance of early in
vivo PK screening is well-recognized and combinations of studies can be
used to optimize the relevant property. These should be carried out in parallel
with the pharmacology/PD studies. Some new in vivo models/surgical techniques
which have been set up in our lab to study various in vivo PK and/or PD
properties will be presented, using recent project work as examples.
Is the
Assessment of Transcellular Transport of New Drug Candidates to Predict
their Hepatobiliry and Renal Clearances (Yuichi Sugiyama,
END OF DAY
MAIN
Session 3: Novel Clinical
Pharmacokinetics Approaches
Chair: Yuichi Sugiyama
8:50 AM - 9:00 AM - Exhibitor Presentation - APSciences, Inc.
Use of Mechanistic PK/PD Modeling
and Simulation in Evaluating the Potential of New Targets, Bridging Animal Data
to Human data, and Help Design Clinical Trials (Malaz
A. AbuTarif, Johnson and Johnson Pharmaceutical Research & Development,
LLC; Raritan, NJ) An example of mechanistic PK/PD modeling and
simulation will be presented. The example will demonstrate how understanding
the computational side of the mechanism of action of the drug in relation to
the physiology and pathophysiology of the target disease can help build an
ideal theoretical PK and PK/PD profile that discovery can then try to achieve.
PK/PD Analysis and Clinical Trial Simulation for Drug Development (Yuichiro Nakada, Santen Pharmaceutical Co., LTD;
Scientific Aspects of Human Microdosing (Nenad
Sarapa, Pfizer Global Research & Development; San Diego, CA) Optimizing exploratory drug
development by means of doing first-in-human studies earlier is an attractive
option for pharmaceutical companies to select more successful drug candidates.
Traditional registration-driven clinical Phase I programs could be preceded by
studies with sub-pharmacological single doses (‘microdoses’) of one or several
lead candidates, whereby human pharmacokinetic/drug disposition data are
generated by highly sensitive analytical methods. European Union guidance
(EMEA/CPMP, effective from July 2003) defines the abbreviated nonclinical
safety package to support human microdosing studies. The US FDA screening
Session 4: Safety Assessment
Chair: Vito Sasseville
Role of Toxicologists in Early Stage
Drug Development (
Novel Testing Paradigm for Prediction of Development
Limiting Barriers and Human Drug Toxicity (Vito G. Sasseville, Millennium Pharmaceuticals, Inc.;
Transcriptomic and Proteomic Analyses of a Series of Sulfonamide
Anticancer Agents (Takashi Owa; Laboratory of Seeds Finding
Technology; Eisai Co., Ltd.; Tsukuba,
An Evaluation of Troglitazone, Trovafloxacin, and Nefazadone Using an
Aggressive In Vitro Screening Paradigm Identified Unique Toxicity Profiles (James
M. McKim, CeeTox, Inc.; Kalamazoo, MI) Late stage attrition due to unanticipated toxicity or
post-market toxic events is costly. In vitro toxicity screening based on
multiple endpoints, dose-response, and in
vivo validation provides valuable information early in the drug discovery
process. Troglitazone, Trovafloxacin,
and Nefazadone have been removed from the market because of unanticipated and
potentially lethal toxicity. The toxicity of these compounds was evaluated in vitro and the unique toxicity
profiles obtained will be discussed in this presentation.
END OF CONFERENCE
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