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A Revolution in R&D

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CHEMICAL GENOMICS—FORWARD OR REVERSE<br />

When companies say they are pursu<strong>in</strong>g chemical<br />

genomics, they are usually referr<strong>in</strong>g to large-scale<br />

reverse chemical genetics. (That is how the term is<br />

used <strong>in</strong> our report.) This approach <strong>in</strong>volves f<strong>in</strong>d<strong>in</strong>g<br />

chemical compounds that b<strong>in</strong>d to a known target.<br />

Companies often perform this task for entire target<br />

classes; it is especially popular for prote<strong>in</strong> classes<br />

that are known to be highly drugable, such as Gprote<strong>in</strong><br />

coupled receptors (GPCRs). The assay for<br />

b<strong>in</strong>d<strong>in</strong>g does not need to provide functional <strong>in</strong>formation<br />

relevant to a specific disease state—biological<br />

function can be assessed <strong>in</strong> validation experiments.<br />

The alternative is forward chemical genetics. This<br />

approach beg<strong>in</strong>s with functional knowledge. A<br />

library of compounds is screened <strong>in</strong> an assay that<br />

tests for changes <strong>in</strong> a specific biological function.<br />

One immediate result would be to process the glut<br />

of identified targets more quickly: <strong>in</strong>stead of jo<strong>in</strong><strong>in</strong>g<br />

the logjam at the validation stage, a great many<br />

of them can now be diverted directly to screen<strong>in</strong>g.<br />

If they fail there, they can be discarded right away,<br />

and thus simply bypass most of the validation stage<br />

altogether. In other words, screen<strong>in</strong>g moves up the<br />

value cha<strong>in</strong> to rest alongside validation, <strong>in</strong> a parallel<br />

rather than consecutive position. By bracket<strong>in</strong>g<br />

the <strong>in</strong>dustrialized steps of target identification and<br />

chemical screen<strong>in</strong>g, chemical genomics has given<br />

the value cha<strong>in</strong> a remarkable makeover.<br />

The key is to move lengthy, messy biology far downstream<br />

where you know it’s worth pursu<strong>in</strong>g. Many<br />

targets aren’t drugable, so just validate the smaller<br />

drugable subset.<br />

—SVP of discovery,<br />

lead<strong>in</strong>g biotech company<br />

The effect of this new value cha<strong>in</strong> is dramatic: time<br />

to drug is cut by a further two years (that’s on top<br />

of the year already saved by us<strong>in</strong>g genomic target<br />

identification). On the other hand, there is a large<br />

3. In July 2001, Aurora Biosciences was acquired by Vertex Pharmaceuticals.<br />

The <strong>in</strong>tention is to screen a library aga<strong>in</strong>st all expressed<br />

genes <strong>in</strong> the system under <strong>in</strong>vestigation.<br />

This approach has the tremendous advantage of allow<strong>in</strong>g<br />

the identification of targets without any presumptions<br />

as to their function. Additionally, these<br />

targets can help to elucidate the mechanism of disease,<br />

thereby reveal<strong>in</strong>g other potential targets <strong>in</strong> relevant<br />

pathways. The drawback is that forward chemical<br />

genetics has not yet been <strong>in</strong>dustrialized, and<br />

throughput levels are therefore very low. Accord<strong>in</strong>g<br />

to our model, implement<strong>in</strong>g it today would <strong>in</strong>crease<br />

costs to more than $1 billion per drug, ow<strong>in</strong>g to the<br />

use of “slow” biology, which is needed to set up the<br />

screen<strong>in</strong>g assays <strong>in</strong> chemistry. The expert estimate is<br />

that forward chemical genetics is still as much as<br />

five years away from be<strong>in</strong>g economically feasible.<br />

<strong>in</strong>crease <strong>in</strong> cost, offsett<strong>in</strong>g all cost sav<strong>in</strong>gs from target<br />

identification. But the tradeoff is still positive.<br />

In a highly competitive market, where new entrants<br />

are cont<strong>in</strong>uously erod<strong>in</strong>g share, chemical genomics<br />

can add more than $200 million <strong>in</strong> value per drug.<br />

(In less competitive conditions, the value added<br />

may be as little as $20 million.)<br />

No doubt chemical genomics costs more—but you<br />

take the loss to ga<strong>in</strong> the speed. Time is money.<br />

—SVP of discovery and technology,<br />

major pharmaceutical company<br />

One important drawback of chemical genomics is<br />

this: it is limited ma<strong>in</strong>ly to known target classes.<br />

With targets of unknown function, results become<br />

very difficult to <strong>in</strong>terpret. The proxy assays used for<br />

screen<strong>in</strong>g—heat-stability assays, for <strong>in</strong>stance—tend<br />

to yield both false positives and false negatives.<br />

Nevertheless, chemical genomics is already be<strong>in</strong>g<br />

pursued throughout the <strong>in</strong>dustry. Several big pharmaceutical<br />

companies have adopted it, and genomics<br />

companies such as Aurora Biosciences 3 and<br />

15

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