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Method of modeling for drug design, evaluation and prescription in the treatment of disease

a drug design and disease technology, applied in the field of system biology, can solve the problems of limited dynamic modeling conducted to aid in the design of these drug candidates, time-consuming and expensive process, etc., and achieve the effect of strengthening trial design, increasing the desired signal to control ratio, and reducing the cost of treatmen

Inactive Publication Date: 2013-03-07
GOLDSTEIN MICHAEL
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Problems solved by technology

However, limited dynamic modeling is conducted to aid in the design of these drug candidates or in ranking their usefulness.
This is a time consuming and expensive process.

Method used

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  • Method of modeling for drug design, evaluation and prescription in the treatment of disease
  • Method of modeling for drug design, evaluation and prescription in the treatment of disease
  • Method of modeling for drug design, evaluation and prescription in the treatment of disease

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Introduction

[0014]A generalized model of the interaction between infection, immune response, and treatment in infectious disease is hypothesized. Although this model is derived pedagogically, its utility towards understanding causation, both acute and chronic response, and the relative benefit in treatment protocols for hypothetical conditions is suggestive of a possible reason for clinical efforts to similarly model real disease.

[0015]The time dependent concentration of a medication is generally determined empirically. Nonetheless, pharmacokinetic analysis provides an analytic fit that lends intuition to practitioners. For example, utility exists in understanding the half-life of a medication. When a treatment protocol with optimal therapeutic benefit needs to be determined, however, only phenomenological dosing studies are available and analogous quantitative methods are not as well developed. Thus, a model of the interaction between infection, immune response, and treatment may b...

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Abstract

A method implemented on at least one specifically programmed computer to improve the outcome of a drug trial. The method includes (a) generating a parameterized mathematical model of disease and immune response, (b) including in the parameterized mathematical model effects from one or more drugs with time-dependent variables that can change during a therapy, (c) creating a calibrated model using empirical data to aid in determining parameters of the parameterized mathematical model, (d) determining responses of the calibrated model to a series of time-dependent drug therapies, and (e) selecting at least one therapy based on the determined responses of the model.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application is a divisional of U.S. patent application Ser. No. 10 / 938,394, filed on Sep. 9, 2004, the entire contents of which are incorporated herein by reference.BACKGROUND OF THE INVENTION[0002]The present invention relates generally to a method of understanding disease through modeling utilized to optimize drug design, evaluation, and application in medical treatment. In particular, the invention is on the utilization of a model that comprises an expression of disease, immune response, and dynamic (time dependent) drug treatment.FIELD OF THE INVENTION[0003]Computational immunology has developed rapidly in recent years as a sub-field of systems biology, which is an area of science that seeks to understand the functional behavior of organisms, organs, and systems through detailed modeling of its components. An advantage of these highly detailed models is a theoretical potential to obtain a precise match or calibration of computati...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06F17/10G16B5/30
CPCG06F19/3437G06F19/12G16H50/50G16B5/00G16B5/30
Inventor GOLDSTEIN, MICHAEL
Owner GOLDSTEIN MICHAEL
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