Literature DB >> 22183668

In silico identification and characterization of effector catalogs.

Ronnie de Jonge1.   

Abstract

Many characterized fungal effector proteins are small secreted proteins. Effectors are defined as those proteins that alter host cell structure and/or function by facilitating pathogen infection. The identification of effectors by molecular and cell biology techniques is a difficult task. However, with the availability of whole-genome sequences, these proteins can now be predicted in silico. Here, we describe in detail how to identify and characterize effectors from a defined fungal proteome using in silico techniques.

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Year:  2012        PMID: 22183668     DOI: 10.1007/978-1-61779-501-5_25

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


  5 in total

1.  Advances and challenges in computational prediction of effectors from plant pathogenic fungi.

Authors:  Jana Sperschneider; Peter N Dodds; Donald M Gardiner; John M Manners; Karam B Singh; Jennifer M Taylor
Journal:  PLoS Pathog       Date:  2015-05-28       Impact factor: 6.823

2.  Extensive chromosomal reshuffling drives evolution of virulence in an asexual pathogen.

Authors:  Ronnie de Jonge; Melvin D Bolton; Anja Kombrink; Grardy C M van den Berg; Koste A Yadeta; Bart P H J Thomma
Journal:  Genome Res       Date:  2013-05-16       Impact factor: 9.043

3.  Exploring Leishmania secretory proteins to design B and T cell multi-epitope subunit vaccine using immunoinformatics approach.

Authors:  Nazia Khatoon; Rajan Kumar Pandey; Vijay Kumar Prajapati
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

4.  The Conifer Root and Stem Rot Pathogen (Heterobasidion parviporum): Effectome Analysis and Roles in Interspecific Fungal Interactions.

Authors:  Zilan Wen; Zhen Zeng; Fei Ren; Fred O Asiegbu
Journal:  Microorganisms       Date:  2019-12-05

5.  Comprehensive analysis of Verticillium nonalfalfae in silico secretome uncovers putative effector proteins expressed during hop invasion.

Authors:  Kristina Marton; Marko Flajšman; Sebastjan Radišek; Katarina Košmelj; Jernej Jakše; Branka Javornik; Sabina Berne
Journal:  PLoS One       Date:  2018-06-12       Impact factor: 3.240

  5 in total

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