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Exploiting Structural Modelling Tools to Explore Host-Translocated Effector Proteins.

Sahel Amoozadeh1, Jodie Johnston2, Claudia-Nicole Meisrimler1

  • 1School of Biological Science, University of Canterbury, Christchurch 8041, New Zealand.

International Journal of Molecular Sciences
|December 10, 2021
PubMed
Summary

Investigating plant-microbe interactions requires understanding effector proteins. Novel protein modeling tools like AlphaFold2 and RoseTTafold, including accessible Google Colabfold alternatives, are advancing effector biology research.

Keywords:
AlphaFold2RoseTTafoldeffector proteinsfungioomycetesprotein modelling

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Area of Science:

  • Plant pathology
  • Microbial genetics
  • Structural biology

Background:

  • Plant-microbe interactions range from neutral to pathogenic, impacting plant health.
  • Fungal and oomycete effectors manipulate host processes for microbial colonization.
  • Understanding effector functions is crucial for plant defense and disease management.

Purpose of the Study:

  • To review current knowledge of effector proteins from filamentous microbes.
  • To discuss the application of novel protein modeling tools (AlphaFold2, RoseTTafold) in effector biology.
  • To compare original and Colab versions of modeling software for accessibility and utility.

Main Methods:

  • Bioinformatics and experimental approaches for studying effector proteins.
  • Utilizing machine learning algorithms for 3D protein structure prediction.
  • Comparative analysis of AlphaFold2, RoseTTafold, and their Google Colabfold alternatives.

Main Results:

  • Next-generation protein modeling software significantly advances 3D structure determination.
  • Accessible alternatives like Google Colabfold broaden the use of advanced modeling.
  • Current knowledge of effector protein motifs and domains is expanding.

Conclusions:

  • Novel modeling strategies like AlphaFold2 and RoseTTafold offer powerful tools for effector biology.
  • Accessibility of these tools through platforms like Google Colabfold is key for broader research application.
  • Further research should leverage these tools to explore effector functions and host-microbe dynamics.