The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 28, 2018

Filed:

Sep. 07, 2012
Applicants:

Vivek K. Vishnudas, Bedford, MA (US);

Rangaprasad Sarangarajan, Boylston, MA (US);

Niven Rajin Narain, Cambridge, MA (US);

Min Du, Acton, MA (US);

Tony Walshe, Boston, MA (US);

Inventors:

Vivek K. Vishnudas, Bedford, MA (US);

Rangaprasad Sarangarajan, Boylston, MA (US);

Niven Rajin Narain, Cambridge, MA (US);

Min Du, Acton, MA (US);

Tony Walshe, Boston, MA (US);

Assignee:

Berg LLC, Framingham, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/10 (2011.01); G06F 19/12 (2011.01); C12Q 1/02 (2006.01); G01N 33/50 (2006.01); G01N 33/68 (2006.01);
U.S. Cl.
CPC ...
G06F 19/12 (2013.01); C12Q 1/025 (2013.01); G01N 33/5008 (2013.01); G01N 33/68 (2013.01);
Abstract

Described herein are methods for identifying a modulator of a biological system. Some methods include establishing a model for the biological system comprising cells, obtaining a first data set representing global proteomic in the cells, and obtaining a second data set representing one or more functional activities or cellular responses of the cells including global enzymatic activity and/or an effect of the global enzyme activity on the enzyme metabolites or substrates in the cells. The method also includes generating a consensus causal relationship network among the global proteomic changes and the one or more functional activities or cellular responses based solely on the first and second data sets using a programmed computing device, and identifying a causal relationship unique in the biological system from the consensus causal relationship network, wherein at least one enzyme associated with the unique causal relationship is identified as a modulator of the biological system.


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