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HMI-PRED 2.0: a biologist-oriented web application for prediction of host-microbe protein-protein interaction by
Hansaim Lim1, Chung-Jung Tsai1, Ozlem Keskin2
1Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, NCI-Frederick, Frederick, MD 21702, USA.
Bioinformatics (Oxford, England)
|September 20, 2022
Summary
HMI-PRED 2.0 predicts host-microbe protein-protein interactions using interface mimicry. This web service screens microbial protein structures against human protein complexes for easier analysis without computational expertise.
Area of Science:
- Computational biology
- Bioinformatics
- Structural biology
Background:
- Host-microbe protein-protein interactions (PPIs) are crucial for understanding microbial pathogenesis and host immunity.
- Predicting these interactions is vital for drug discovery and therapeutic development.
- Existing methods may require significant computational expertise.
Purpose of the Study:
- To present HMI-PRED 2.0, a user-friendly web service for predicting host-microbe PPIs.
- To enable researchers without extensive computational backgrounds to analyze these interactions.
- To provide a tool for visualizing and analyzing predicted host-microbe interactions.
Main Methods:
- Interface mimicry approach for predicting PPIs.
- Screening microbial protein structures against a comprehensive database of human protein complex structures.
- Development of user-friendly graphic interfaces for prediction and analysis.
Main Results:
- HMI-PRED 2.0 is a publicly available web service.
- The service facilitates the prediction of host-microbe PPIs.
- It offers visualization and analysis capabilities for predicted interactions.
Conclusions:
- HMI-PRED 2.0 simplifies the prediction and analysis of host-microbe PPIs.
- The tool lowers the barrier for researchers to study these critical biological interactions.
- Accessible prediction of host-microbe PPIs can accelerate research in infectious diseases and immunology.
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