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Pharmaceutical & Biopharmaceutical Best Practices, Lessons Learned & ongoing
challenges: a work in progress
Applications Map Informatics map Technologies
map Biology map
Finding guide to terms in these glossaries Site
Map
21st century
Drug Discovery, Drug Development & Drug Safety
Map We're
trying to update our popular 2002 Drug
discovery and development map
Bridging
the silos between biologists, biophysicists, chemists, IT, toxicologists, patent
attorneys, CFOs, CEOs and clinicians [and patients] present some of the biggest
challenges of all. I'm
realizing that the variety of skills and domain expertise needed for
breakthroughs in the life sciences is more than anyone discipline and/'or
lifetime(s) can muster. While new technologies might be helpful, cultural
shifts, incentives for collaborating, and pre-competitive cooperation will also
be important. Incremental changes can be helpful more frequent than
true paradigm shifts. Industrialization, scalability and automating and ramping
up processes to move from the R&D lab into the clinic are under-appreciated
challenges, as are marketing dilemmas that come about with disruptive
technologies. Best
practices so far Business & finance:
If you're after quick results and fast profits
may not be the industry for you. Helping people and public health also
have
their own rewards.. Biology
Genes and proteins, genomics and proteomics are just molecular biological
starting points. If DNA is 2-dimensional, and protein structures are 3D, then
post-translational modifications and alternative splicing are 4D
temporal-spatial relationships constituting profoundly dynamic systems. Biomarkers
& molecular diagnostics
Diagnostics almost always precede therapeutics, and “companion
diagnostics” or theranostics are increasingly important and closely aligned. Bioprocessing
& manufacturing
Just getting enough of compounds can be the first challenge.
Biotech started as a means for bioproduction, but now biotechnologies, genomic,
proteomic and metabolomic tools and insights permeate every/many? stage of
pharmaceutical R&D. Scaling up is a profoundly underestimated challenge.
Chemistry
There isn’t enough matter in the universe to make all possible combinatorial
compounds.
Drug
discovery
Killing compounds early can be like “drowning puppies in front of small
children”. How many companies
reward this vital task? Drug
development
Proofs of concept enable better experiments and fewer [expensive] unpleasant
surprises. ADME -- We know a lot about
absorption and distribution, not so much about metabolism and excretion.
Drug
safety & pharmacovigilance
From preclinical through Phase IV and post marketing surveillance, drug safety
just never ends. Idiosyncratic toxicities don’t emerge now until drugs reach
larger populations. Drug
targets
Greatly increased numbers of targets mean more need than ever to validate hits and optimize leads.
Papers per compound have dropped from > 100 to < 10 according to
Lehman Brothers 2001 report The Fruits of Genomics.
Informatics
isn’t
as much about old knowledge becoming obsolete, but becoming more and more
granular, with elements of chaos theory thrown in.
.
"The biomedical literature is even noisier than microarray data." says
John
Quackenbush, of the Dana Farber Cancer Center
Regulatory
Affairs
GxP -- from GLP Good Laboratory Practice to GCP Good Clinical Practice and GMP
Good Manufacturing Practice to INDs Investigational New Drugs and NDAs New Drug
Approvals -- and truly NCEs New Chemical Entities and NBEs New Biological
Entities -- is a long, expensive, and often unpredictable journey. Technologies
More technologies are pre-competitive than people like to admit.
New technologies such as microarrays, next generation sequencing and
RNAinterference coexist with improvements in century old mass spectrometry and
Nuclear Magnetic Resonance. DNA,
genes, RNA and proteins are intimately related, but the technologies for
learning about nucleic acids and proteins can constitute almost unbridgable
chasms. Making
new technology work may be easier than using it to discover truth. Roger Brent,
"Functional genomics: learning to think about gene expression data"
Current Biology 9: R338- R341, 1999 Molecular
Medicine
Medicine is being reorganized at the molecular and biochemical levels.
Traditional
pharmaceutical franchises are supplemented by molecular networks, pathways
and insights.
I've taken heart from Steven Weinberg's Four Golden Lessons, Nature 426: 389, 27
Nov 2003 "How could I do anything without knowing everything that had
already been done? ... [graduate school] was sink or swim.... I did learn one
big thing: that no one knows everything, and you don't have to. Another lesson
to be learned ... is that while you are swimming and not sinking you should aim
for rough waters. My advice is to go for the messes -- that's where
the action is... My
third piece of advice is probably the hardest to take. IT is to forgive yourself
for wasting time... If you want to be creative, then you will have to get used
to spending most of your time not being creative, to being becalmed on the ocean
of scientific knowledge. Finally, learn something about the history of
science, or at a minimum the history of your own branch of science. The least
important reason for this is that the history may actually be of some use to
your ... More importantly, the history of science can make your work seem more
worthwhile to you. Robert
Weinberg's Racing
to the Beginning of the Road : The Search for the Origin of Cancer
is a very readable account of top rate biomedical research, a good reminder that
these "races" are marathons and not 100 yard dashes. The title is one
of my favorite metaphors for the complexity of biology. His explanation
of how nonlinear progress from lab to clinic can be is highly
recommended.
Learning to live with uncertainty and trade-offs is essential and
unavoidable. Whether
you need to get up to speed in new areas, or be sure you've kept up with the
latest developments in life sciences and pharmaceutical business, informatics,
or technologies Cambridge Healthtech products and services may be just what you
need. Not sure where to start? Try browsing this drug
discovery map, consult
our Cambridge Healthtech A
to Z index & Site map and/or peruse the Biopharmaceutical
glossaries & taxonomies.
Evolving Terminologies for Emerging Technologies
Comments? Questions?
Revisions? Mary Chitty mchitty@healthtech.com
Last revised March 23, 2012
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Best practices, lessons learned & ongoing challenges
for pharmaceuticals: work in progress
Biology and Chemistry: Nature is very clever. Leveraging
biomimetics [high-tech pharmacognosy] can help the odds.
Clinical trials and biomarkers and diagnostics: Selecting patients who will respond to
compounds, without toxic effects [pharmacogenomics/ personalized medicine] will
enable better, faster, cheaper, more definitive clinical trials, and help to
meet unmet clinical needs.
Drug safety: If compounds are
going to fail, killing them quickly saves time and money. Repurposing
and repositioning existing drugs can leverage existing tox profiles.
Who would have thought thalidomide would be back on the market?
Research:
Progress from basic to applied research and commercial R&D is distinctly
non-linear. Human lifetimes aren't long enough to learn everything needed
to get drugs to market safety -- and keep them there.
Business
Funding & Finance
Spending more and more on R&D and getting fewer and fewer new drugs is not a
sustainable business model. Counting
on blockbusters is like including winning the lottery in your business plans.
Increasingly collaboration and alliances have important roles to play.
"A month in the lab can
save you an hour in the library." says Phoebe Roberts, formerly at Biogen Idec,
now
at Pfizer
What’s
on your 21st century drug discovery, drug development & drug
safety map?
Mary Chitty,
Cambridge Healthtech, Library Director & Taxonomist, mchitty@healthtech.com