ViralFP

ViralFP provides a centralized database and analysis tools to catalog viral fusion proteins and predict fusion peptide locations in enveloped viruses such as Coronaviruses, Dengue, HIV, and Influenza.

Key Features:

• Centralized Database: Contains curated information on viral fusion proteins and fusion peptides across enveloped viruses including Coronaviruses, Dengue, HIV, and Influenza.
• Clustal Sequence Alignment: Performs sequence alignments of fusion protein sequences using Clustal for comparative analysis.
• Weblogo Visualization: Generates sequence logos to visualize consensus sequences and motifs within fusion proteins using Weblogo.
• Machine Learning-Based Prediction: Uses machine learning algorithms to predict the location of fusion peptides within fusion protein sequences, identifying regions that insert into host cell membranes.

Scientific Applications:

• Viral Infection Mechanism Research: Elucidates mechanisms of membrane fusion and viral entry mediated by fusion proteins in enveloped viruses such as Coronaviruses, Dengue, HIV, and Influenza.
• Immune Response Studies: Supports characterization of fusion proteins and fusion peptides as targets of immune recognition and antibody responses.
• Therapeutic Target Identification: Facilitates identification of candidate fusion-peptide regions for antiviral drug or vaccine target selection.

Methodology:

Sequence alignment with Clustal, motif visualization with Weblogo, and predictive modeling using machine learning algorithms.