Literature DB >> 19398450

Rahnuma: hypergraph-based tool for metabolic pathway prediction and network comparison.

Aziz Mithani1, Gail M Preston, Jotun Hein.   

Abstract

SUMMARY: We present a tool called Rahnuma for prediction and analysis of metabolic pathways and comparison of metabolic networks. Rahnuma represents metabolic networks as hypergraphs and computes all possible pathways between two or more metabolites. It provides an intuitive way to answer biological ques- tions focusing on differences between organisms or the evolution of different species by allowing pathway-based metabolic network comparisons at an organism as well as at a phylogenetic level. AVAILABILITY: Rahnuma is available online at http://portal.stats.ox.ac.uk:8080/rahnuma/.

Mesh:

Year:  2009        PMID: 19398450     DOI: 10.1093/bioinformatics/btp269

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


  21 in total

1.  Finding metabolic pathways using atom tracking.

Authors:  Allison P Heath; George N Bennett; Lydia E Kavraki
Journal:  Bioinformatics       Date:  2010-04-25       Impact factor: 6.937

Review 2.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

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Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

3.  Reverse engineering molecular hypergraphs.

Authors:  Ahsanur Rahman; Christopher L Poirel; David J Badger; Craig Estep; T M Murali
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2013 Sep-Oct       Impact factor: 3.710

4.  A Bayesian approach to the evolution of metabolic networks on a phylogeny.

Authors:  Aziz Mithani; Gail M Preston; Jotun Hein
Journal:  PLoS Comput Biol       Date:  2010-08-05       Impact factor: 4.475

5.  Enumerating all possible biosynthetic pathways in metabolic networks.

Authors:  Aarthi Ravikrishnan; Meghana Nasre; Karthik Raman
Journal:  Sci Rep       Date:  2018-07-02       Impact factor: 4.379

6.  Properties of metabolic graphs: biological organization or representation artifacts?

Authors:  Wanding Zhou; Luay Nakhleh
Journal:  BMC Bioinformatics       Date:  2011-05-04       Impact factor: 3.169

7.  Disease gene interaction pathways: a potential framework for how disease genes associate by disease-risk modules.

Authors:  Lina Chen; Wan Li; Liangcai Zhang; Hong Wang; Weiming He; Jingxie Tai; Xu Li; Xia Li
Journal:  PLoS One       Date:  2011-09-06       Impact factor: 3.240

8.  A retrosynthetic biology approach to metabolic pathway design for therapeutic production.

Authors:  Pablo Carbonell; Anne-Gaëlle Planson; Davide Fichera; Jean-Loup Faulon
Journal:  BMC Syst Biol       Date:  2011-08-05

9.  MIMO: an efficient tool for molecular interaction maps overlap.

Authors:  Pietro Di Lena; Gang Wu; Pier Luigi Martelli; Rita Casadio; Christine Nardini
Journal:  BMC Bioinformatics       Date:  2013-05-15       Impact factor: 3.169

10.  Metabolic tinker: an online tool for guiding the design of synthetic metabolic pathways.

Authors:  Kent McClymont; Orkun S Soyer
Journal:  Nucleic Acids Res       Date:  2013-04-10       Impact factor: 16.971

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