This article describes a project assigned as part of the combinatorial chemistry course at the University of Illinois at Urbana–Champaign. In this assignment, students select a biological target of their choice, design a combinatorial library, and use computational procedures to construct the library in silico and screen this virtual library for binding to the target protein. From the in silico results, students identify R groups that appear to provide the greatest binding to the target and suggest a small combinatorial library optimized for binding. The multiple steps of the assignment are described, together with typical results obtained.
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