Molecular Recognition Features in Zika Virus Proteome.

Area of Science:

• Virology
• Structural Biology
• Computational Biology

Background:

• Viral proteins often contain intrinsically disordered protein regions (IDPRs) that facilitate interactions with multiple binding partners.
• These IDPRs can undergo disorder-to-order transitions upon binding, playing crucial roles in viral functions.
• Molecular Recognition Features (MoRFs) are specific IDPR segments involved in these critical interactions.

Purpose of the Study:

• To investigate the presence and characteristics of MoRFs within the Zika virus proteome.
• To computationally identify MoRF regions in both structural and non-structural Zika virus proteins.
• To experimentally validate the intrinsically disordered nature of specific MoRFs, particularly within the NS2B cofactor region.

Main Methods:

• Utilized multiple computational tools (ANCHOR, MoRFpred, DISOPRED3, MoRFchibi) for MoRF prediction in Zika virus proteins.
• Analyzed both structural and non-structural proteins of the Zika virus.
• Experimentally validated the intrinsic disorder of the NS2B cofactor region of the NS2B-NS3 protease.

Main Results:

• Identified significant MoRF regions across the Zika virus proteome, contributing to protein plasticity and interaction capabilities.
• The NS2B cofactor region of the NS2B-NS3 protease was confirmed to possess one of the longest MoRF regions.
• Computational predictions were corroborated by experimental validation of intrinsic disorder.

Conclusions:

• Zika virus proteins exhibit a notable prevalence of MoRFs, suggesting their importance in viral mechanisms.
• The identified MoRFs, especially in regions like NS2B, are key targets for understanding virus-host interactions.
• This research provides a foundation for future studies on Zika virus's interaction networks and potential therapeutic strategies.