Literature DB >> 20562419

CplexA: a Mathematica package to study macromolecular-assembly control of gene expression.

Jose M G Vilar1, Leonor Saiz.   

Abstract

SUMMARY: Macromolecular assembly coordinates essential cellular processes, such as gene regulation and signal transduction. A major challenge for conventional computational methods to study these processes is tackling the exponential increase of the number of configurational states with the number of components. CplexA is a Mathematica package that uses functional programming to efficiently compute probabilities and average properties over such exponentially large number of states from the energetics of the interactions. The package is particularly suited to study gene expression at complex promoters controlled by multiple, local and distal, DNA binding sites for transcription factors. AVAILABILITY: CplexA is freely available together with documentation at http://sourceforge.net/projects/cplexa/.

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Year:  2010        PMID: 20562419     DOI: 10.1093/bioinformatics/btq328

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

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Authors:  Jose M G Vilar; Leonor Saiz
Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

2.  Promoter-mediated transcriptional dynamics.

Authors:  Jiajun Zhang; Tianshou Zhou
Journal:  Biophys J       Date:  2014-01-21       Impact factor: 4.033

3.  A moment-convergence method for stochastic analysis of biochemical reaction networks.

Authors:  Jiajun Zhang; Qing Nie; Tianshou Zhou
Journal:  J Chem Phys       Date:  2016-05-21       Impact factor: 3.488

4.  Control of gene expression by modulated self-assembly.

Authors:  Jose M G Vilar; Leonor Saiz
Journal:  Nucleic Acids Res       Date:  2011-05-20       Impact factor: 16.971

5.  Effects of promoter leakage on dynamics of gene expression.

Authors:  Lifang Huang; Zhanjiang Yuan; Peijiang Liu; Tianshou Zhou
Journal:  BMC Syst Biol       Date:  2015-03-21

6.  MathIOmica: An Integrative Platform for Dynamic Omics.

Authors:  George I Mias; Tahir Yusufaly; Raeuf Roushangar; Lavida R K Brooks; Vikas V Singh; Christina Christou
Journal:  Sci Rep       Date:  2016-11-24       Impact factor: 4.379

7.  Self-consistent theory of transcriptional control in complex regulatory architectures.

Authors:  Jasper Landman; Robert C Brewster; Franz M Weinert; Rob Phillips; Willem K Kegel
Journal:  PLoS One       Date:  2017-07-07       Impact factor: 3.240

8.  A general model for predicting the binding affinity of reversibly and irreversibly dimerized ligands.

Authors:  Kenneth W Foreman
Journal:  PLoS One       Date:  2017-11-22       Impact factor: 3.240

9.  Markovian approaches to modeling intracellular reaction processes with molecular memory.

Authors:  Jiajun Zhang; Tianshou Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-04       Impact factor: 11.205

  9 in total

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