Literature DB >> 21171044

Simulation of cellular biochemical system kinetics.

Daniel A Beard1.   

Abstract

The goal of realistically and reliably simulating the biochemical processes underlying cellular function is achievable through a systematic approach that makes use of the broadest possible amount of in vitro and in vivo data, and is consistent with all applicable physical chemical theories. Progress will be facilitated by establishing: (1) a concrete self-consistent theoretical foundation for systems simulation; (2) extensive and accurate databases of thermodynamic properties of biochemical reactions; (3) parameterized and validated models of enzyme and transporter catalytic mechanisms that are consistent with physical chemical theoretical foundation; and (4) software tools for integrating all these concepts, data, and models into a cohesive representation of cellular biochemical systems. Ongoing initiatives are laying the groundwork for the broad-based community cooperation that will be necessary to pursue these elements of a strategic infrastructure for systems simulation on a large scale.
Copyright © 2010 John Wiley & Sons, Inc.

Entities:  

Mesh:

Year:  2010        PMID: 21171044      PMCID: PMC3293220          DOI: 10.1002/wsbm.116

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  44 in total

1.  Equilibrium compositions of solutions of biochemical species and heats of biochemical reactions.

Authors:  R A Alberty
Journal:  Proc Natl Acad Sci U S A       Date:  1991-04-15       Impact factor: 11.205

2.  A vision and strategy for the virtual physiological human in 2010 and beyond.

Authors:  Peter Hunter; Peter V Coveney; Bernard de Bono; Vanessa Diaz; John Fenner; Alejandro F Frangi; Peter Harris; Rod Hose; Peter Kohl; Pat Lawford; Keith McCormack; Miriam Mendes; Stig Omholt; Alfio Quarteroni; John Skår; Jesper Tegner; S Randall Thomas; Ioannis Tollis; Ioannis Tsamardinos; Johannes H G M van Beek; Marco Viceconti
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-06-13       Impact factor: 4.226

3.  A biophysically based mathematical model for the kinetics of mitochondrial Na+-Ca2+ antiporter.

Authors:  Ranjan K Pradhan; Daniel A Beard; Ranjan K Dash
Journal:  Biophys J       Date:  2010-01-20       Impact factor: 4.033

4.  Tools for kinetic modeling of biochemical networks.

Authors:  Rui Alves; Fernando Antunes; Armindo Salvador
Journal:  Nat Biotechnol       Date:  2006-06       Impact factor: 54.908

5.  Thermodynamics of the purine nucleotide cycle.

Authors:  Robert A Alberty
Journal:  Biophys Chem       Date:  2006-04-05       Impact factor: 2.352

6.  Computer modeling of mitochondrial tricarboxylic acid cycle, oxidative phosphorylation, metabolite transport, and electrophysiology.

Authors:  Fan Wu; Feng Yang; Kalyan C Vinnakota; Daniel A Beard
Journal:  J Biol Chem       Date:  2007-06-25       Impact factor: 5.157

7.  Relation between phosphate metabolites and oxygen consumption of heart in vivo.

Authors:  L A Katz; J A Swain; M A Portman; R S Balaban
Journal:  Am J Physiol       Date:  1989-01

8.  Strong inference for systems biology.

Authors:  Daniel A Beard; Martin J Kushmerick
Journal:  PLoS Comput Biol       Date:  2009-08-28       Impact factor: 4.475

9.  Roles of the creatine kinase system and myoglobin in maintaining energetic state in the working heart.

Authors:  Fan Wu; Daniel A Beard
Journal:  BMC Syst Biol       Date:  2009-02-19

10.  Detailed enzyme kinetics in terms of biochemical species: study of citrate synthase.

Authors:  Daniel A Beard; Kalyan C Vinnakota; Fan Wu
Journal:  PLoS One       Date:  2008-03-19       Impact factor: 3.240

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  8 in total

1.  Catalytic Coupling of Oxidative Phosphorylation, ATP Demand, and Reactive Oxygen Species Generation.

Authors:  Jason N Bazil; Daniel A Beard; Kalyan C Vinnakota
Journal:  Biophys J       Date:  2016-02-23       Impact factor: 4.033

2.  Kinetic model facilitates analysis of fibrin generation and its modulation by clotting factors: implications for hemostasis-enhancing therapies.

Authors:  Alexander Y Mitrophanov; Alisa S Wolberg; Jaques Reifman
Journal:  Mol Biosyst       Date:  2014-07-29

3.  Cardiac Metabolic Limitations Contribute to Diminished Performance of the Heart in Aging.

Authors:  Xin Gao; Djordje G Jakovljevic; Daniel A Beard
Journal:  Biophys J       Date:  2019-07-02       Impact factor: 4.033

Review 4.  Logic-based models in systems biology: a predictive and parameter-free network analysis method.

Authors:  Michelle L Wynn; Nikita Consul; Sofia D Merajver; Santiago Schnell
Journal:  Integr Biol (Camb)       Date:  2012-11       Impact factor: 2.192

Review 5.  Modeling to link regional myocardial work, metabolism and blood flows.

Authors:  James B Bassingthwaighte; Daniel A Beard; Brian E Carlson; Ranjan K Dash; Kalyan Vinnakota
Journal:  Ann Biomed Eng       Date:  2012-08-23       Impact factor: 3.934

Review 6.  Computational approaches for understanding energy metabolism.

Authors:  Alexander A Shestov; Brandon Barker; Zhenglong Gu; Jason W Locasale
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-07-29

7.  Detailed kinetics and regulation of mammalian 2-oxoglutarate dehydrogenase.

Authors:  Feng Qi; Ranjan K Pradhan; Ranjan K Dash; Daniel A Beard
Journal:  BMC Biochem       Date:  2011-09-26       Impact factor: 4.059

8.  Some lessons about models from Michaelis and Menten.

Authors:  Jeremy Gunawardena
Journal:  Mol Biol Cell       Date:  2012-02       Impact factor: 4.138

  8 in total

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