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.

Patent No.:

US 8577617 B1

PDF
Full Text
Expired
Date of Patent:
Nov. 05, 2013

Filed:

Sep. 19, 2008
Applicants:

Thomas Andrew Clayton, Sandwich, GB;

Jeremy Ramsey Everett, Sandwich, GB;

John Christopher Lindon, Sandwich, GB;

Jeremy Kirk Nicholson, Sandwich, GB;

Inventors:

Thomas Andrew Clayton, Sandwich, GB;

Jeremy Ramsey Everett, Sandwich, GB;

John Christopher Lindon, Sandwich, GB;

Jeremy Kirk Nicholson, Sandwich, GB;

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/00 (2011.01); G06F 17/10 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method of generating models with which to characterize selected aspects of the metabolic phenotype of subjects without dosing a test substance to those subjects or with which to predict, without dosing, the post-dose responses of subjects where those responses are dependent on metabolic phenotype, the method comprising: obtaining pre-dose data relating to a plurality of subjects before dosing with a dosing substance; obtaining post-dose data relating to the plurality of subjects after dosing with the dosing substance; and correlating inter-subject variation in the pre-dose data with inter-subject variation in the post-dose data, and generating a pre-to-post-dose predictive model on the basis of the observed correlation. The models may be used to determine selected aspects of the metabolic phenotype of a subject or to predict, without dosing, the post-dose responses of subjects. This is achieved by analysing data relating to the un-dosed subject in relation to a model describing the correlation of pre-dose and post-dose data relating to a plurality of subjects when dosed with a particular substance which challenges the biochemical transformation or pathway of interest; and generating, according to the predetermined criteria of the model, a numerical measure or classification describing the metabolic phenotype of the un-dosed subject.


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