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The genomics era has brought forth
a wealth of information that has revolutionized the way we do science and has
had a large impact in drug discovery. One of the major bottlenecks we face at
the moment is how to establish a link from the genomic information into function
and relevance to disease. Pharmacom intends to integrate database mining,
functional genomics, automation, and bioinformatics to assign function to novel
targets. There has
been a paradigm shift in the way biology is carried out. This shift is being
driven by several enabling technologies: genomics, which offers a virtually
unlimited number of new gene products to study; combinatorial chemistry, which
promises an almost unlimited number of compounds to act as potential agonists
and antagonists; and the advent of genomewide experiments such as structural
genomics, which are aimed at obtaining some functional information about as many
gene products as possible. In practice, however, there are limitations to the
paradigm. These limitations come in large part from the fact that the term
"function" means many things, and its meaning changes depending on who is asking
the question and what sorts of experiments are being employed to probe it.
Genomics by itself cannot usually determine even the biochemical, much less the
cellular or physiological functions of a protein. Structural biology can
determine the shape of the protein but cannot reliably determine its function;
the coupling between overall structure and function is a loose one. Given a
structure, one cannot determine where on the surface of a protein the likely
binding sites for ligands are located and what those ligands are likely to be.
Genomewide experiments have many false positives and false negatives and often
do not distinguish indirect effects from direct ones. The consequences of the
expression of a given gene sequence can only be determined by integrating the
results from many different types of experiments, and the best way to carry out
this integration is not obvious. |