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Profiles : Materials | |
Michael Deem
By making an analogy between a computer simulation technique called Monte Carlo and combinatorial chemistry, Deem has provided a way to search more efficiently and broadly for new compounds. In general, Monte Carlo simulations are a powerful technique to sample data, using an algorithm that takes random walks among large datasets. Taking advantage of his chemical engineering background, Deem has developed biased Monte Carlo techniques that allow combinatorial chemists to greatly expand their searches, with the computer selecting the most promising paths. Among other research projects, Deem is helping advance a new field called protein molecular evolution. Its basically combinatorial chemistry for proteins, says Deem. The payoff could be a powerful new technique for finding protein-based therapeutics. | ||