The Summer Science Program in Biochemistry

The Biochemistry project is new in 2017. This video features comments from the pilot held in 2016 for six participants.

Fungal Inhibitor Design

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Prof. Mark Hall, Academic Director of SSP in Biochemistry at Purdue

All life processes are driven by enzyme-catalyzed reactions, and all enzymes are linear chains of amino acids whose sequence arises from DNA. Understanding how a limited set of 20 building blocks can give rise to extraordinary 3-dimensional structural and chemical diversity is one of the “holy grails” of biochemistry. This problem is of great practical importance, because most drugs are enzyme inhibitors, whether for medical or agricultural applications. Hunger is one of the biggest threats to human health, and new chemicals are constantly needed to safely and effectively combat pathogens that infect crops worldwide.

Participants will learn the fundamentals of enzyme structure, function, and evolution. Each team of three will combine bench experiments and computer tools to characterize a novel member of an enzyme family that is implicated in crop infection by fungal pathogens. Then they will design a compound that could potentially protect crops from that specific fungus.

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A student team created this model of their enzyme using the Molecular Operating Environment software from Chemical Computing Group.

The project goes beyond what is asked of undergraduates in an analytical biochemistry lab course. It demands hypothesis-building based on integration of existing information, critical analysis and interpretation of novel experimental results, and application of the novel information to portions of the drug design pipeline. These highly practical aspects of modern biochemical research will train students how to intellectually approach a biochemical research problem. Topics covered include:

  • Biochemistry: affinity chromatography, gel electrophoresis, enzyme assays, kinetics, and inhibition, drug screening
  • Molecular Modeling: homology modeling, ligand docking, molecular dynamics simulations, inhibitor optimization
  • Mathematics: rate equations, linear and non-linear curve fitting, biostatistics
  • Bioinformatics: Sequence similarity searching, multiple sequence alignment, secondary structure and binding motif prediction