Methods of Predicting The Probability of Modulation of Transcript Levels By RNAI Compounds
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United States of America Patent
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Issued Date -
Mar 27, 2014
app pub date -
Nov 27, 2013
filing date -
May 29, 2009
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Abstract
The present invention provides a method for determining the probability that an RNAi compound modulates the expression level of a gene using a linear regression model. The present invention also provides a method for determining the probabilities that an RNAi compound modulates the expression levels of each gene in a set of genes of interest using the linear regression model. The present invention provides a method for determining the seed-sequence-dependent signature size of an RNAi compound using the linear regression model. The invention provides a method for identifying genes having seed-sequence-dependent silencing effect by an siRNA using the linear regression model. The invention further provides a method for selecting from a plurality of siRNAs one or more siRNAs with higher silencing efficacy, specificity and diversity in silencing a target gene in an organism. The invention also provides a method for determining the coefficients of the above linear regression model.
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