WO2007014257A3 - Multicellular metabolic models and methods - Google Patents

Multicellular metabolic models and methods Download PDF

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Publication number
WO2007014257A3
WO2007014257A3 PCT/US2006/029001 US2006029001W WO2007014257A3 WO 2007014257 A3 WO2007014257 A3 WO 2007014257A3 US 2006029001 W US2006029001 W US 2006029001W WO 2007014257 A3 WO2007014257 A3 WO 2007014257A3
Authority
WO
WIPO (PCT)
Prior art keywords
reactions
reaction
substrate
product
reactant identified
Prior art date
Application number
PCT/US2006/029001
Other languages
French (fr)
Other versions
WO2007014257A2 (en
Inventor
Imandokht Famili
Christopher H Schilling
Original Assignee
Genomatica Inc
Imandokht Famili
Christopher H Schilling
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Genomatica Inc, Imandokht Famili, Christopher H Schilling filed Critical Genomatica Inc
Priority to EP06800352A priority Critical patent/EP1910553A4/en
Priority to AU2006272616A priority patent/AU2006272616A1/en
Priority to JP2008523048A priority patent/JP5346581B2/en
Priority to CA002615504A priority patent/CA2615504A1/en
Publication of WO2007014257A2 publication Critical patent/WO2007014257A2/en
Publication of WO2007014257A3 publication Critical patent/WO2007014257A3/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • G16B50/10—Ontologies; Annotations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2500/00—Screening for compounds of potential therapeutic value
    • G01N2500/10—Screening for compounds of potential therapeutic value involving cells
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations

Abstract

The invention provides a computer readable medium or media, having: (a) a first data structure relating a plurality of reactants to a plurality of reactions from a first cell, each of said reactions comprising a reactant identified as a substrate of the reaction, a reactant identified as a product of the reaction and a stoichiometric coefficient relating said substrate and said product; (b) a second data structure relating a plurality of reactants to a plurality of reactions from a second cell, each of said reactions comprising a reactant identified as a substrate of the reaction, a reactant identified as a product of the reaction and a stoichiometric coefficient relating said substrate and said product; (c) a third data structure relating a plurality of intra-system reactants to a plurality of intra-system reactions between said first and second cells, each of said intra-system reactions comprising a reactant identified as a substrate of the reaction, a reactant identified as a product of the reaction and a stoichiometric coefficient relating said substrate and said product; (d) a constraint set for said plurality of reactions for said first, second and third data structures, and (e) commands for determining at least one flux distribution that minimizes or maximizes an objective function when said constraint set is applied to said first and second data structures, wherein said at least one flux distribution is predictive of a physiological function of said first and second cells. The first, second and third data structures also can include a plurality of data structures. Additionally provided is a method for predicting a physiological function of a multicellular organism. The method includes: (a) providing a first data structure relating a plurality of reactants to a plurality of reactions from a first cell, each of said reactions comprising a reactant identified as a substrate of the reaction, a reactant identified as a product of the reaction and a stoichiometric coefficient relating said substrate and said product; (b) providing a second data structure relating a plurality of reactants to a plurality of reactions from a second cell, each of said reactions comprising a reactant identified as a substrate of the reaction, a reactant identified as a product of the reaction and a stoichiometric coefficient relating said substrate and said product; (c) providing a third data structure relating a plurality of intra-system reactants to a plurality of intra-system reactions between said first and second cells, each of said intra-system reactions comprising a reactant identified as a substrate of the reaction, a reactant identified as a product of the reaction and a stoichiometric coefficient relating said substrate and said product; (d) providing a constraint set for said plurality of reactions for said first, second and third data structures; (e) providing an objective function, and (f) determining at least one flux distribution that minimizes or maximizes an objective function when said constraint set is applied to said first and second data structures, wherein said at least one flux distribution is predictive of a physiological function of said first and second cells.
PCT/US2006/029001 2005-07-21 2006-07-21 Multicellular metabolic models and methods WO2007014257A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP06800352A EP1910553A4 (en) 2005-07-21 2006-07-21 Multicellular metabolic models and methods
AU2006272616A AU2006272616A1 (en) 2005-07-21 2006-07-21 Multicellular metabolic models and methods
JP2008523048A JP5346581B2 (en) 2005-07-21 2006-07-21 Multicellular metabolic model and method
CA002615504A CA2615504A1 (en) 2005-07-21 2006-07-21 Multicellular metabolic models and methods

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/188,136 2005-07-21
US11/188,136 US8949032B2 (en) 2002-03-29 2005-07-21 Multicellular metabolic models and methods

Publications (2)

Publication Number Publication Date
WO2007014257A2 WO2007014257A2 (en) 2007-02-01
WO2007014257A3 true WO2007014257A3 (en) 2009-06-18

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2006/029001 WO2007014257A2 (en) 2005-07-21 2006-07-21 Multicellular metabolic models and methods

Country Status (6)

Country Link
US (3) US8949032B2 (en)
EP (1) EP1910553A4 (en)
JP (2) JP5346581B2 (en)
AU (2) AU2006272616A1 (en)
CA (1) CA2615504A1 (en)
WO (1) WO2007014257A2 (en)

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US20030224363A1 (en) * 2002-03-19 2003-12-04 Park Sung M. Compositions and methods for modeling bacillus subtilis metabolism
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US20090023182A1 (en) * 2007-07-18 2009-01-22 Schilling Christophe H Complementary metabolizing organisms and methods of making same
JP5283366B2 (en) * 2007-10-25 2013-09-04 株式会社日立ソリューションズ Method for displaying the relationship between biopolymers
WO2010098865A1 (en) 2009-02-26 2010-09-02 Gt Life Sciences, Inc. Mammalian cell line models and related methods
CA2802878C (en) * 2010-06-17 2018-12-18 Pauly, Patrice L. Apparatus, method and computer-readable storage medium for evaluating the global diagnostic of a patient and its associated therapy
US9234210B2 (en) 2010-08-25 2016-01-12 Intrexon Ceu, Inc. Selectable markers and related methods
WO2014022864A1 (en) * 2012-08-03 2014-02-06 University Of Virginia Patent Foundation Computer simulation for testing and monitoring of treatment strategies for stress hyperglycemia
EP2821790A1 (en) * 2013-07-04 2015-01-07 Universität Heidelberg Tumor energy metabolism profiling
CN105867345B (en) * 2016-03-24 2018-04-27 浙江科技学院 The source of trouble and fault propagation path orientation method of a kind of multivariable chemical process
WO2018059214A1 (en) * 2016-09-29 2018-04-05 广州君赫生物科技有限公司 Compounds affecting saicar synthesis, and applications
WO2018192323A1 (en) 2017-04-20 2018-10-25 广州君赫生物科技有限公司 Applications of spermidine and its derivative
CN111242538B (en) * 2020-01-07 2023-05-23 北京唐颐惠康生物医学技术有限公司 Dynamic whole-flow cell inventory transfer method and system
WO2023081000A1 (en) * 2021-11-03 2023-05-11 Simbiosys, Inc. Metabolic modeling for disease prognosis and treatment
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Also Published As

Publication number Publication date
US8949032B2 (en) 2015-02-03
US20060147899A1 (en) 2006-07-06
JP2013101691A (en) 2013-05-23
WO2007014257A2 (en) 2007-02-01
AU2012203311A1 (en) 2012-06-21
AU2006272616A1 (en) 2007-02-01
US20150302141A1 (en) 2015-10-22
CA2615504A1 (en) 2007-02-01
EP1910553A2 (en) 2008-04-16
US20210241846A1 (en) 2021-08-05
JP2009514062A (en) 2009-04-02
EP1910553A4 (en) 2010-01-06
JP5346581B2 (en) 2013-11-20

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