STRUCTURE BASED PREDICTIVE MODELING
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United States of America Patent
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May 14, 2015
app pub date -
Sep 26, 2014
filing date -
Sep 27, 2013
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Disclosed are methods for building a sequence activity model with reference to structural data, which model can be used to guide directed evolution of proteins having beneficial properties. Some embodiments use genetic algorithms and structural data to filter out uninformative data. Some embodiments use a support vector machine to train the sequence activity model. The filtering and training methods can generate a sequence activity model having higher predictive power than conventional modeling methods. Systems and computer program products implementing the methods are also provided.
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