Literature DB >> 23417801

A guide to integrating transcriptional regulatory and metabolic networks using PROM (probabilistic regulation of metabolism).

Evangelos Simeonidis1, Sriram Chandrasekaran, Nathan D Price.   

Abstract

The integration of transcriptional regulatory and metabolic networks is a crucial step in the process of predicting metabolic behaviors that emerge from either genetic or environmental changes. Here, we present a guide to PROM (probabilistic regulation of metabolism), an automated method for the construction and simulation of integrated metabolic and transcriptional regulatory networks that enables large-scale phenotypic predictions for a wide range of model organisms.

Mesh:

Year:  2013        PMID: 23417801     DOI: 10.1007/978-1-62703-299-5_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

Review 1.  Genome-scale modeling for metabolic engineering.

Authors:  Evangelos Simeonidis; Nathan D Price
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-13       Impact factor: 3.346

Review 2.  The evolution of genome-scale models of cancer metabolism.

Authors:  Nathan E Lewis; Alyaa M Abdel-Haleem
Journal:  Front Physiol       Date:  2013-09-03       Impact factor: 4.566

3.  Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast.

Authors:  Zhuo Wang; Samuel A Danziger; Benjamin D Heavner; Shuyi Ma; Jennifer J Smith; Song Li; Thurston Herricks; Evangelos Simeonidis; Nitin S Baliga; John D Aitchison; Nathan D Price
Journal:  PLoS Comput Biol       Date:  2017-05-17       Impact factor: 4.475

Review 4.  The Genome-Scale Integrated Networks in Microorganisms.

Authors:  Tong Hao; Dan Wu; Lingxuan Zhao; Qian Wang; Edwin Wang; Jinsheng Sun
Journal:  Front Microbiol       Date:  2018-02-23       Impact factor: 5.640

5.  Genome-Wide Analysis of Yeast Metabolic Cycle through Metabolic Network Models Reveals Superiority of Integrated ATAC-seq Data over RNA-seq Data.

Authors:  Müberra Fatma Cesur; Tunahan Çakır; Pınar Pir
Journal:  mSystems       Date:  2022-06-13       Impact factor: 7.324

6.  Metabolic constraint-based refinement of transcriptional regulatory networks.

Authors:  Sriram Chandrasekaran; Nathan D Price
Journal:  PLoS Comput Biol       Date:  2013-12-05       Impact factor: 4.475

7.  Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization.

Authors:  Juan M Escorcia-Rodríguez; Andreas Tauch; Julio A Freyre-González
Journal:  Comput Struct Biotechnol J       Date:  2020-05-16       Impact factor: 7.271

  7 in total

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