Two-stage ML Classifier for Identifying Host Protein Targets of the Dengue Protease

Jacob T Stanley1, Alison R Gilchrist, Alex C Stabell

  • 1Molecular, Cellular and Developmental Biology, BioFrontiers Institute, University of Colorado, Boulder, CO 80305, USA.

Insights

Dengue virus protease cleaves viral and host proteins. A new computational method identifies 257 potential human protein targets for dengue protease, aiding future research into viral-host interactions.

Area of Science:

  • Virology
  • Computational Biology
  • Biochemistry

Background:

  • Flaviviruses, including dengue, utilize a protease crucial for viral replication.
  • This protease cleaves viral polyproteins and at least one host immune protein.
  • The full range of host proteins targeted by dengue protease remains largely unknown.

Purpose of the Study:

  • To develop a computational method for identifying potential host protein targets of the dengue virus protease.
  • To investigate host proteins susceptible to cleavage by the dengue protease.

Main Methods:

  • A two-stage classification process was employed, utilizing biochemical and secondary structure features from known viral cleavage sites.
  • The method was validated by assessing prediction accuracy against evolutionary distance across different flaviviruses.
  • A computational classifier was developed to identify human protein sites with suitable target motifs and local structures.

Main Results:

  • The prediction accuracy demonstrated an inverse correlation with evolutionary distance, supporting the method's validity.
  • The computational classifier identified 257 potential human protein cleavage sites.
  • These identified sites possess characteristics similar to known viral cleavage sites and accessible local structures.

Conclusions:

  • The developed computational method effectively predicts host protein targets for dengue virus protease.
  • The 257 identified human proteins represent promising candidates for further experimental investigation.
  • This approach can be extended to predict host targets for other flaviviruses as more sequence data becomes available.

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