Literature DB >> 17950669

Metabolic reconstruction and analysis for parasite genomes.

John W Pinney1, Balázs Papp, Christopher Hyland, Lillian Wambua, David R Westhead, Glenn A McConkey.   

Abstract

With the completion of sequencing projects for several parasite genomes, efforts are ongoing to make sense of this mass of information in terms of the gene products encoded and their interactions in the growth, development and survival of parasites. The emerging science of systems biology aims to explain the complex relationship between genotype and phenotype by using network models. One area in which this approach has been particularly successful is in the modeling of metabolism. With an accurate picture of the set of metabolic reactions encoded in a genome, it is now possible to identify enzymes or transporters that might be viable targets for new drugs. Because these predictions greatly depend on the quality and completeness of the genome annotation, there are substantial efforts in the scientific community to increase the numbers of metabolic enzymes identified. In this review, we discuss the opportunities for using metabolic reconstruction and analysis tools in parasitology research, and their applications to protozoan parasites.

Mesh:

Substances:

Year:  2007        PMID: 17950669     DOI: 10.1016/j.pt.2007.08.013

Source DB:  PubMed          Journal:  Trends Parasitol        ISSN: 1471-4922


  17 in total

1.  Comparative genomics of metabolic networks of free-living and parasitic eukaryotes.

Authors:  Barbara Nerima; Daniel Nilsson; Pascal Mäser
Journal:  BMC Genomics       Date:  2010-03-31       Impact factor: 3.969

Review 2.  Genomics of apicomplexan parasites.

Authors:  Lakshmipuram Seshadri Swapna; John Parkinson
Journal:  Crit Rev Biochem Mol Biol       Date:  2017-02-22       Impact factor: 8.250

Review 3.  Eating at the table of another: metabolomics of host-parasite interactions.

Authors:  Björn F C Kafsack; Manuel Llinás
Journal:  Cell Host Microbe       Date:  2010-02-18       Impact factor: 21.023

4.  Revealing the mystery of metabolic adaptations using a genome scale model of Leishmania infantum.

Authors:  Abhishek Subramanian; Ram Rup Sarkar
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

Review 5.  'Unknown' proteins and 'orphan' enzymes: the missing half of the engineering parts list--and how to find it.

Authors:  Andrew D Hanson; Anne Pribat; Jeffrey C Waller; Valérie de Crécy-Lagard
Journal:  Biochem J       Date:  2009-12-14       Impact factor: 3.857

6.  Analysis of ultra low genome conservation in Clostridium difficile.

Authors:  Joy Scaria; Lalit Ponnala; Tavan Janvilisri; Weiwei Yan; Lukas A Mueller; Yung-Fu Chang
Journal:  PLoS One       Date:  2010-12-08       Impact factor: 3.240

Review 7.  Reconstruction of biochemical networks in microorganisms.

Authors:  Adam M Feist; Markus J Herrgård; Ines Thiele; Jennie L Reed; Bernhard Ø Palsson
Journal:  Nat Rev Microbiol       Date:  2008-12-31       Impact factor: 60.633

8.  Metabolic reconstruction of the archaeon methanogen Methanosarcina Acetivorans.

Authors:  Vinay Satish Kumar; James G Ferry; Costas D Maranas
Journal:  BMC Syst Biol       Date:  2011-02-15

9.  Library of Apicomplexan Metabolic Pathways: a manually curated database for metabolic pathways of apicomplexan parasites.

Authors:  Achchuthan Shanmugasundram; Faviel F Gonzalez-Galarza; Jonathan M Wastling; Olga Vasieva; Andrew R Jones
Journal:  Nucleic Acids Res       Date:  2012-11-27       Impact factor: 16.971

10.  EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.

Authors:  Adrian K Arakaki; Ying Huang; Jeffrey Skolnick
Journal:  BMC Bioinformatics       Date:  2009-04-13       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.