Literature DB >> 12241066

Modelling cellular processes with Python and Scipy.

B G Olivier1, J M Rohwer, J H S Hofmeyr.   

Abstract

This paper shows how Python and Scipy can be used to simulate the time-dependent and steady-state behaviour of reaction networks, and introduces Pysces, a Python modelling toolkit.

Mesh:

Year:  2002        PMID: 12241066     DOI: 10.1023/a:1020346417223

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  2 in total

1.  Mathematical simulation and analysis of cellular metabolism and regulation.

Authors:  I Goryanin; T C Hodgman; E Selkov
Journal:  Bioinformatics       Date:  1999-09       Impact factor: 6.937

2.  Biochemistry by numbers: simulation of biochemical pathways with Gepasi 3.

Authors:  P Mendes
Journal:  Trends Biochem Sci       Date:  1997-09       Impact factor: 13.807

  2 in total
  4 in total

1.  How to distinguish between the vacuum cleaner and flippase mechanisms of the lmrA multi-drug transporter in Lactococcus lactis.

Authors:  J H S Hofmeyr; J M Rohwer; J L Snoep; H V Westerhoff; W N Konings
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

2.  miR-137 Targets p160 Steroid Receptor Coactivators SRC1, SRC2, and SRC3 and Inhibits Cell Proliferation.

Authors:  Vijay Kumar Eedunuri; Kimal Rajapakshe; Warren Fiskus; Chuandong Geng; Sue Anne Chew; Christopher Foley; Shrijal S Shah; John Shou; Junaith S Mohamed; Cristian Coarfa; Bert W O'Malley; Nicholas Mitsiades
Journal:  Mol Endocrinol       Date:  2015-06-12

3.  Significantly altered peripheral blood cell DNA methylation profile as a result of immediate effect of metformin use in healthy individuals.

Authors:  Ilze Elbere; Ivars Silamikelis; Monta Ustinova; Ineta Kalnina; Linda Zaharenko; Raitis Peculis; Ilze Konrade; Diana Maria Ciuculete; Christina Zhukovsky; Dita Gudra; Ilze Radovica-Spalvina; Davids Fridmanis; Valdis Pirags; Helgi B Schiöth; Janis Klovins
Journal:  Clin Epigenetics       Date:  2018-12-13       Impact factor: 6.551

4.  Proteome turnover in the bloodstream and procyclic forms of Trypanosoma brucei measured by quantitative proteomics.

Authors:  Michele Tinti; Maria Lucia S Güther; Thomas W M Crozier; Angus I Lamond; Michael A J Ferguson
Journal:  Wellcome Open Res       Date:  2019-10-09
  4 in total

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