HIVcleave

HIVcleave predicts cleavage sites in proteins by HIV proteases of HIV-1 and HIV-2 to inform inhibitor identification and studies of viral maturation and AIDS (Acquired Immunodeficiency Syndrome) pathogenesis.

Key Features:

• Predictive Capability: Uses computational algorithms to predict HIV protease cleavage sites in input protein amino acid sequences.
• Dual Protease Analysis: Supports prediction of cleavage by both HIV-1 and HIV-2 proteases.
• Theoretical Basis: Implements the distorted key theory proposed by K.C. Chou as the basis for cleavage-site recognition.

Scientific Applications:

• Drug Discovery: Identifies specific cleavage sites to guide design of inhibitors that block HIV protease interactions.
• Viral Pathogenesis Research: Maps protease-targeted cleavage events to study mechanisms of viral replication and maturation.
• Protein Engineering: Informs sequence modifications to reduce susceptibility to HIV protease-mediated proteolytic cleavage.

Methodology:

Based on the distorted key theory proposed by K.C. Chou, the tool analyzes amino acid sequences using computational algorithms to predict likely HIV protease cleavage sites with reported high specificity.