Literature DB >> 26887005

Genome-Wide Semi-Automated Annotation of Transporter Systems.

Oscar Dias, Daniel Gomes, Paulo Vilaca, Joao Cardoso, Miguel Rocha, Eugenio C Ferreira, Isabel Rocha.   

Abstract

Usually, transport reactions are added to genome-scale metabolic models (GSMMs) based on experimental data and literature. This approach does not allow associating specific genes with transport reactions, which impairs the ability of the model to predict effects of gene deletions. Novel methods for systematic genome-wide transporter functional annotation and their integration into GSMMs are therefore necessary. In this work, an automatic system to detect and classify all potential membrane transport proteins for a given genome and integrate the related reactions into GSMMs is proposed, based on the identification and classification of genes that encode transmembrane proteins. The Transport Reactions Annotation and Generation (TRIAGE) tool identifies the metabolites transported by each transmembrane protein and its transporter family. The localization of the carriers is also predicted and, consequently, their action is confined to a given membrane. The integration of the data provided by TRIAGE with highly curated models allowed the identification of new transport reactions. TRIAGE is included in the new release of merlin, a software tool previously developed by the authors, which expedites the GSMM reconstruction processes.

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Year:  2016        PMID: 26887005     DOI: 10.1109/TCBB.2016.2527647

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  4 in total

1.  Fast automated reconstruction of genome-scale metabolic models for microbial species and communities.

Authors:  Daniel Machado; Sergej Andrejev; Melanie Tramontano; Kiran Raosaheb Patil
Journal:  Nucleic Acids Res       Date:  2018-09-06       Impact factor: 16.971

2.  TranCEP: Predicting the substrate class of transmembrane transport proteins using compositional, evolutionary, and positional information.

Authors:  Munira Alballa; Faizah Aplop; Gregory Butler
Journal:  PLoS One       Date:  2020-01-14       Impact factor: 3.240

3.  Scalable and exhaustive screening of metabolic functions carried out by microbial consortia.

Authors:  Clémence Frioux; Enora Fremy; Camille Trottier; Anne Siegel
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

4.  Genome-wide sequencing and metabolic annotation of Pythium irregulare CBS 494.86: understanding Eicosapentaenoic acid production.

Authors:  Bruna S Fernandes; Oscar Dias; Gisela Costa; Antonio A Kaupert Neto; Tiago F C Resende; Juliana V C Oliveira; Diego M Riaño-Pachón; Marcelo Zaiat; José G C Pradella; Isabel Rocha
Journal:  BMC Biotechnol       Date:  2019-06-28       Impact factor: 2.563

  4 in total

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