Literature DB >> 25562137

Transparency in metabolic network reconstruction enables scalable biological discovery.

Benjamin D Heavner1, Nathan D Price2.   

Abstract

Reconstructing metabolic pathways has long been a focus of active research. Now, draft models can be generated from genomic annotation and used to simulate metabolic fluxes of mass and energy at the whole-cell scale. This approach has led to an explosion in the number of functional metabolic network models. However, more models have not led to expanded coverage of metabolic reactions known to occur in the biosphere. Thus, there exists opportunity to reconsider the process of reconstruction and model derivation to better support the less-scalable investigative processes of biocuration and experimentation. Realizing this opportunity to improve our knowledge of metabolism requires developing new tools that make reconstructions more useful by highlighting metabolic network knowledge limitations to guide future research.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Mesh:

Year:  2015        PMID: 25562137      PMCID: PMC4490137          DOI: 10.1016/j.copbio.2014.12.010

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  31 in total

1.  The SuBliMinaL Toolbox: automating steps in the reconstruction of metabolic networks.

Authors:  Neil Swainston; Kieran Smallbone; Pedro Mendes; Douglas Kell; Norman Paton
Journal:  J Integr Bioinform       Date:  2011-11-18

Review 2.  Recent advances in the reconstruction of metabolic models and integration of omics data.

Authors:  Rajib Saha; Anupam Chowdhury; Costas D Maranas
Journal:  Curr Opin Biotechnol       Date:  2014-03-12       Impact factor: 9.740

3.  Riboneogenesis in yeast.

Authors:  Michelle F Clasquin; Eugene Melamud; Alexander Singer; Jessica R Gooding; Xiaohui Xu; Aiping Dong; Hong Cui; Shawn R Campagna; Alexei Savchenko; Alexander F Yakunin; Joshua D Rabinowitz; Amy A Caudy
Journal:  Cell       Date:  2011-06-10       Impact factor: 41.582

4.  Genome-wide screen for inositol auxotrophy in Saccharomyces cerevisiae implicates lipid metabolism in stress response signaling.

Authors:  Manuel J Villa-García; Myung Sun Choi; Flora I Hinz; María L Gaspar; Stephen A Jesch; Susan A Henry
Journal:  Mol Genet Genomics       Date:  2010-12-07       Impact factor: 3.291

5.  Construction and completion of flux balance models from pathway databases.

Authors:  Mario Latendresse; Markus Krummenacker; Miles Trupp; Peter D Karp
Journal:  Bioinformatics       Date:  2012-01-18       Impact factor: 6.937

6.  Likelihood-based gene annotations for gap filling and quality assessment in genome-scale metabolic models.

Authors:  Matthew N Benedict; Michael B Mundy; Christopher S Henry; Nicholas Chia; Nathan D Price
Journal:  PLoS Comput Biol       Date:  2014-10-16       Impact factor: 4.475

Review 7.  Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

Authors:  Douglas B Kell; Royston Goodacre
Journal:  Drug Discov Today       Date:  2013-07-26       Impact factor: 7.851

8.  Broad metabolic sensitivity profiling of a prototrophic yeast deletion collection.

Authors:  Benjamin VanderSluis; David C Hess; Colin Pesyna; Elias W Krumholz; Tahin Syed; Balázs Szappanos; Corey Nislow; Balázs Papp; Olga G Troyanskaya; Chad L Myers; Amy A Caudy
Journal:  Genome Biol       Date:  2014-04-10       Impact factor: 17.906

9.  MediaDB: a database of microbial growth conditions in defined media.

Authors:  Matthew A Richards; Victor Cassen; Benjamin D Heavner; Nassim E Ajami; Andrea Herrmann; Evangelos Simeonidis; Nathan D Price
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240

10.  Path2Models: large-scale generation of computational models from biochemical pathway maps.

Authors:  Finja Büchel; Nicolas Rodriguez; Neil Swainston; Clemens Wrzodek; Tobias Czauderna; Roland Keller; Florian Mittag; Michael Schubert; Mihai Glont; Martin Golebiewski; Martijn van Iersel; Sarah Keating; Matthias Rall; Michael Wybrow; Henning Hermjakob; Michael Hucka; Douglas B Kell; Wolfgang Müller; Pedro Mendes; Andreas Zell; Claudine Chaouiya; Julio Saez-Rodriguez; Falk Schreiber; Camille Laibe; Andreas Dräger; Nicolas Le Novère
Journal:  BMC Syst Biol       Date:  2013-11-01
View more
  8 in total

1.  MetaboTools: A Comprehensive Toolbox for Analysis of Genome-Scale Metabolic Models.

Authors:  Maike K Aurich; Ronan M T Fleming; Ines Thiele
Journal:  Front Physiol       Date:  2016-08-03       Impact factor: 4.566

2.  Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction.

Authors:  Benjamin D Heavner; Nathan D Price
Journal:  PLoS Comput Biol       Date:  2015-11-13       Impact factor: 4.475

3.  Exploring Hydrogenotrophic Methanogenesis: a Genome Scale Metabolic Reconstruction of Methanococcus maripaludis.

Authors:  Matthew A Richards; Thomas J Lie; Juan Zhang; Stephen W Ragsdale; John A Leigh; Nathan D Price
Journal:  J Bacteriol       Date:  2016-11-18       Impact factor: 3.490

4.  EColiCore2: a reference network model of the central metabolism of Escherichia coli and relationships to its genome-scale parent model.

Authors:  Oliver Hädicke; Steffen Klamt
Journal:  Sci Rep       Date:  2017-01-03       Impact factor: 4.379

5.  Discovering missing reactions of metabolic networks by using gene co-expression data.

Authors:  Zhaleh Hosseini; Sayed-Amir Marashi
Journal:  Sci Rep       Date:  2017-02-02       Impact factor: 4.379

6.  Traceability, reproducibility and wiki-exploration for "à-la-carte" reconstructions of genome-scale metabolic models.

Authors:  Méziane Aite; Marie Chevallier; Clémence Frioux; Camille Trottier; Jeanne Got; María Paz Cortés; Sebastián N Mendoza; Grégory Carrier; Olivier Dameron; Nicolas Guillaudeux; Mauricio Latorre; Nicolás Loira; Gabriel V Markov; Alejandro Maass; Anne Siegel
Journal:  PLoS Comput Biol       Date:  2018-05-23       Impact factor: 4.475

7.  A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism.

Authors:  Kelly Botero; Silvia Restrepo; Andres Pinzón
Journal:  BMC Genomics       Date:  2018-12-11       Impact factor: 3.969

Review 8.  Genome-scale modeling of yeast: chronology, applications and critical perspectives.

Authors:  Helder Lopes; Isabel Rocha
Journal:  FEMS Yeast Res       Date:  2017-08-01       Impact factor: 2.796

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.