Literature DB >> 13865427

A stochastic approach to statistical kinetics with application to enzyme kinetics.

A F BARTHOLOMAY.   

Abstract

Keywords:  BIOCHEMISTRY; ENZYMES/metabolism; MATHEMATICS

Mesh：

Substances：

Year:  1962        PMID： 13865427     DOI： 10.1021/bi00908a005

Source DB:  PubMed          Journal:  Biochemistry        ISSN： 0006-2960            Impact factor:   3.162


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  10 in total

1.  Receptor-mediated cell attachment and detachment kinetics. II. Experimental model studies with the radial-flow detachment assay.

Authors:  C Cozens-Roberts; J A Quinn; D A Lauffenburger
Journal:  Biophys J       Date:  1990-10       Impact factor: 4.033

2.  Receptor-mediated cell attachment and detachment kinetics. I. Probabilistic model and analysis.

Authors:  C Cozens-Roberts; D A Lauffenburger; J A Quinn
Journal:  Biophys J       Date:  1990-10       Impact factor: 4.033

3.  Alternative to the steady-state method: derivation of reaction rates from first-passage times and pathway probabilities.

Authors:  J Ninio
Journal:  Proc Natl Acad Sci U S A       Date:  1987-02       Impact factor: 11.205

4.  Glycolipids of hamster fibroblasts and derived malignant-transformed cell lines.

Authors:  S I Hakomori; W T Murakami
Journal:  Proc Natl Acad Sci U S A       Date:  1968-01       Impact factor: 11.205

5.  Molecular set theory. 3. The wide sense kinetics of molecular sets.

Authors:  A F Bartholomay
Journal:  Bull Math Biophys       Date:  1971-09

6.  "A stochastic solution of the 3-body problem in chemical kinetics. The termolecular stochastic process I".

Authors:  A F Bartholomay
Journal:  Bull Math Biophys       Date:  1971-03

7.  Stochastic models for an enzyme reaction in an open linear system.

Authors:  W Smith
Journal:  Bull Math Biophys       Date:  1971-03

8.  Investigating the robustness of the classical enzyme kinetic equations in small intracellular compartments.

Authors:  Ramon Grima
Journal:  BMC Syst Biol       Date:  2009-10-08

9.  Variance-corrected Michaelis-Menten equation predicts transient rates of single-enzyme reactions and response times in bacterial gene-regulation.

Authors:  Otto Pulkkinen; Ralf Metzler
Journal:  Sci Rep       Date:  2015-12-04       Impact factor: 4.379

10.  How reliable is the linear noise approximation of gene regulatory networks?

Authors:  Philipp Thomas; Hannes Matuschek; Ramon Grima
Journal:  BMC Genomics       Date:  2013-10-01       Impact factor: 3.969
  10 in total

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