Journal article
Prediction of HIV-1 and human protein interactions based on a novel evolution-aware structure alignment method
Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP), pp.1-1
01 Jan 2013
Abstract
Competition between HIV-1 proteins and human proteins is an important in the course of HIV-1 infection. Understanding the interaction between HIV-1 and human proteins will help to understand how the pathogen manipulates the biological pathways and processes of the host. Based on the hypothesis that proteins with similar structures share similar interaction partners, the authors have developed a novel structure alignment method (Unialign) using the co-evolutionary information of the aligned proteins to predict the interaction between HIV-1 protein gp41 and human proteins. They applied Unialign to each of the five gp41 structures available in Protein Data Bank, structurally comparing them against all the human proteins in the PDB. Combining the structural hits with a human PPI database, they generated over 922 interaction predictions between this HIV-1 protein and human proteins. This predicted host proteins list could be very effective in assisting identification of an interaction partners of HIV-1 experimentally.
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Details
- Title
- Prediction of HIV-1 and human protein interactions based on a novel evolution-aware structure alignment method
- Creators
- Chunyu ZhaoAhmet Sacan
- Publication Details
- Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP), pp.1-1
- Conference
- International Conference on Bioinformatics & Computational Biology (BIOCOMP)
- Number of pages
- 1
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Identifiers
- 991019280039704721