This page deals with the principles of combinatorial chemistry.
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Combinatorial chemistry involves the rapid synthesis or the computer simulation of a large number of different but structurally related molecules.
Although combinatorial chemistry has only really been taken up by industry since the 1990s, its roots can be seen as far back as the 1960s when a researcher at Rockefeller University, Bruce Merrifield, started investigating the solid-phase synthesis of peptides. In the 1980s researcher H. Mario Geysen developed this technique further, creating arrays of different peptides on separate supports.
In its modern form, combinatorial chemistry has probably had its biggest impact in the pharmaceutical industry. Researchers attempting to optimize the activity profile of a compound create a 'library' of many different but related compounds. Advances in robotics have led to an industrial approach to combinatorial synthesis, enabling companies to routinely produce over 100,000 new and unique compounds per year (see medicinal chemistry).
In order to handle the vast number of structural possibilities, researchers often create a 'virtual library', a computational enumeration of all possible structures of a given pharmacophore with all available reactants. Such a library can consist of thousand to millions of 'virtual' compounds. The researcher will select a subset of the 'virtual library' for actual synthesis, based upon various calculations and criteria (see ADME, computational chemistry, and QSAR).
Materials science has applied to the techniques of combinatorial chemistry to the discovery of new materials. This work was pioneered by P.G. Schultz et al. in the mid nineties (Science, 1995, 268: 1738-1740) in the context of luminescent materials obtained by co-deposition of elements on a silicon substrate. Work has been continued by several academic groups as well as companies with large research and development programs (Symyx Technologies, GE, etc).
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