Patents by Inventor Eugen C. Buehler

Eugen C. Buehler has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Methods of Predicting The Probability of Modulation of Transcript Levels By RNAI Compounds
    Publication number: 20140088937
    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.
    Type: Application
    Filed: November 27, 2013
    Publication date: March 27, 2014
    Applicant: Merk Sharp & Dohme Corp.
    Inventors: Duncan Brown, Julja Burchard, Eugen C. Buehler
  • Methods of Predicting The Probability of Modulation of Transcript Levels By RNAI Compounds
    Publication number: 20120072123
    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.
    Type: Application
    Filed: May 27, 2010
    Publication date: March 22, 2012
    Applicant: Merck & Co., Inc.
    Inventors: Duncan Brown, Julja Burchard, Eugen C. Buehler