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Proceedings -Thursday, October 11, 2001
ThOB1
Pre-Clinical Lead Optimization and Candidate Selection: Developability Perspective
Kimberly Lentz, Bristol-Myers Squibb
Background
Traditional drug discovery and development functions focused on
small molecules having ligand specificity and selectivity. Once a
candidate was identified, it was handed over to Development to
improve delivery issues. During this lead selection and optimization
process, discovery and development scientists had little
interaction. Thus, development times were long and costly due to the
sequential nature of development.
Drugs fail to reach the marketplace or slow down in development for
a variety of reasons. Some of these stopping points include poor
biopharmaceutical properties (solubility, stability, permeability,
metabolism, oral bioavailability), poor efficacy, toxicity or
adverse effects, complexity of synthetic scale-up, and changes in
the marketplace. The discovery process has changed out of necessity
to one of much greater interaction between disciplines, higher
throughput, and reduced timelines. The key focus of this discovery
shift is to improve the probability of success for a drug candidate
(quality more important than numbers), and thus eliminate the bad
ones early in the process.
Premise
The goal of the discovery process should be to decide early on
whether or not a compound is developable, and to increase the chance
of success. Some of the questions raised during drug discovery
include:
- Will the compound be bioavailable after oral administration?
- What is the anticipated dose?
- Can we find a formulation to compensate for such a low solubility?
- What determines the success of a formulation?
- Is it true that only crystalline material can be developed?
- What biopharmaceutics properties help in deciding whether a compound is developable?
Activity + Developability = Product Success
There are some determinations that can be made in silico, early in
the lead selection stage. Some of these include:
- Solubility, log P, pKa
- Permeability; potential for metabolism
- Predictive toxicology
- Strategic decisions about preferred chemotypes
Developability assessments during the discovery process are made at
the in vitro stage (lead selection), in vivo stage (lead
optimization) and at the candidate selection stage. Some important
assessments at each of these stages are listed below.
In Vitro Stage (Lead selection)
- Aqueous solubility
- Potential for chemical instability
- Prodrug potential?
- Caco-2/PAMPA permeability
- Protein binding
- CYP inhibition
- Metabolic stability
- Hepatotoxicity or other cellular toxicity
In Vivo Stage (Lead optimization)
- Aqueous solubility (vs pH), pKa, chemical stability, log P, non-aqueous solubility
- Oral bioavailability, clearance, elimination half-life
- Metabolic pathways
- Pharmacology-based assays, mutagenicity, teratogenicity
- Core process chemistry, potential synthetic difficulties
Candidate selection
- Crystallinity, hygroscopicity, salt evaluation, solid-state stability, pH-stability, delivery
attributes, formulation potential
- Oral bioavailability and ADME in multiple species, dose and formulation dependence
- In vivo toxicology
- Purity, preliminary cost-of-goods
- Assay development, impurity profiling, degradation pathways
- Aggregation and precipitation potential
An analysis of MAD (Maximal Absorbable Dose) should be performed on
drugs to assess their developability. Also, using the BCS
(Biopharmaceutics Classification System established by the FDA) can
help guide the early assessment of new compounds and clinical dosage
form design strategies. These developability criteria need to be
built-in to the drug discovery process to increase the odds of
successful product commercialization.
Related Information
S. Venkatesh and R.A. Lipper, "Role of the Development Scientist in
Compound Lead Selection and Optimization", Journal of Pharmaceutical
Sciences, 89(2): 145-54, February 2000.
R.T. Borchardt, et al., (Eds), "Integration of Pharmaceutical
Discovery and Development: Case Histories", Plenum Press: New York,
1998.
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