Random Copolymer Complexation with Proteins and Possible Applications
ORAL
Abstract
Random copolymers are polymers made of two more or monomer components, with their properties determined by the statistical distribution of the monomer sequence. Generally, these properties are understood to be averages of the different components, but recent work from the Olvera de la Cruz group has shown that the statistical distribution of random copolymers make them uniquely suited to form complexes with proteins, which have a heterogenous surface composed of hydrophilic, hydrophobic, and charged domains. This discovery allows us to develop novel and cost-effective techniques to enhance the properties of certain proteins, such as those with enzymatic functions, and increase their stability in demanding environments. The basic principles and potential applications of such techniques will be discussed.
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Presenters
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Jeremy Wang
Northwestern University
Authors
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Jeremy Wang
Northwestern University
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Baofu Qiao
Northwestern University
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Trung Nguyen
Northwestern University
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John Torkelson
Northwestern University
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Monica Olvera De La Cruz
Northwestern University, Materials Science and Engineering, Chemistry, Northwestern University