It has long been known by scientists that drugs already approved for
one disease might be effective in treating others. However up until now
there has been no way to identify new uses for existing drugs with any
accuracy.
However that looks set to change, scientist Sivanesan Dakshanamurthy
and his colleagues have developed a comprehensive new computer method
called ‘Train-Match—Fit-Streamline’(TMFS) that uses 11 factors to
quickly pair likely drugs and diseases.
They so far have used TMFS to discover evidence that Celebrex, the
popular prescription medicine for pain and inflammation, has a chemical
signature and architecture suggesting that it may work against a
difficult to treat form of cancer.
It has also been found that a medicine for hookworm could be used to
cut off the blood supply that enables many forms of cancer to grow and
spread.
And then of course there’s Viagra
which in 1989 was being developed as a high blood pressure and angina
treatment. However it was found that Viagra could be helpful in
reversing erectile dysfunction.
The findings published in the ACS’ Journal of Medicinal Chemistry
went on to say “We anticipate that expanding our TMFS method to the more
than 27,000 clinically active agents available worldwide across all
targets, will be most useful in the repositioning of existing drugs for
new therapeutic targets.”
But you may ask why all this is necessary, why not just develop new
drugs? The answer in short is money; it costs over a staggering
$1billion to put a new drug on pharmacy
shelves. On top of the expense the current approach is very time
consuming and carries no guarantee the drug will even make it onto the
market.
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