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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.
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