I have
obtained an invitation to webinar: Drug
Repositioning Through Phenotypic Screening. The subtitle to the event is
just mind-bursting: Engineering Serendipity. It is not a joke! It is a little bit
too ambitious, isn’t it? Well, what is summarized in introduction?
The pharmaceutical industry is facing a crisis of
unprecedented proportion. Approval rates for new medicines have been declining
over the past several years despite increases in R&D spending, and, if
recent data (2008 - 2010) are any indication of future performance, >80% of
candidate agents entering Phase II clinical trials will fail. At that point,
the sponsor will have invested ~$300 - $500 million in the development of that
agent. Between 2009 and 2014, approximately one third of the total
pharmaceutical industry's revenue will lose patent protection. In light of
these stressors, finding an alternate indication for failed clinical candidates
is a strategy that might address many of these issues.
This presentation attempts to demonstrate the value of
a non-biased, phenotypic screening strategy for drug repositioning. Several
case studies are offered and some ideas are put forth for how this approach
might be economically applied to failed clinical candidates.
In simple
words it basically means that modern paradigm (which is “targeted” with HTS and
other BS) is not efficient. I would say more frankly – it is dead. What the
industry has to do? Just go back to the basics, to phenotypic screening! I have
already written a lot about
the situation and the
reasons of this mess.
Let’s go
back to the webinar:
Key Learnings
• Understand
the impact of clinical trial failures and business pressures on productivity.
• Gain
an understanding of the utility of phenotypic screening in drug discovery.
• Develop
an appreciation for phenotypic screening as a repositioning strategy.
• Reconcile
non-hypothesis testing with the scientific method.
Key word
here is “non-hypothesis testing”. Once again – this is not a joke, the authors
are dead serious! Do you know the message with the use of the term “non-hypothesis
testing”? It means that all “targeted” hypotheses failed! J
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