March 21, 2019

This one comes out of the past, but it is about a fear as old as time . . . or at least as old as Merck, namely that testing in animals does little to predict efficacy or safety in humans.  Actually, check that. It is actually the rule rather than the exception: Testin...

January 25, 2019

Imagine you have discovered a hit compound to treat drug addiction.  Before you drop $1 billion on its development, wouldn’t you want to handicap the odds of its success as best you can?  As we well know we do this poorly, but as the age of machine learning has ta...

January 25, 2019

Martin Karplus of Harvard, Michael Levitt of Stanford and Arieh Warshel of USC were awarded the Nobel Prize in Chemistry in 2013 for thinking “what if we put peanut butter on our chocolate?” Or the super nerd version of that anyway: What if we use COMPUTERS to visualiz...

November 20, 2018

It’s long been known that better early prediction of drug-like compound properties overcomes costly drug attrition later.  But prediction is stuck in the dark ages.  In this essay from the last decade, Dr. Malcolm Young entertainingly likens the potentia...

November 20, 2018

In vitro assays that predict in vivo adverse phenotypes emerging in vivo late in drug development are critical for avoiding drug attrition. The challenge is that cells isolated in the dish and molecules isolated in the test tube often have changed their nature or even...

October 18, 2018

Thinking about battling cancer without understanding its tissue of origin would be like hiring someone without knowing about their previous employment.  This vintage book review organizes some great, old thoughts on tissue specificity for anti-cancer drug developm...

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