In-silico designing of a potent analogue against HIV-1 Nef protein and protease by predicting its interaction network with host cell proteins

Abstract

Background: HIV-1 has numerous proteins encoded within its genome, which acquaints it with the required arsenal to establish a favorable host cell environment suitable for viral replication and pathogenesis. Among these proteins, one protein that is indispensable and ambiguous is the Nef protein. Aim: Interaction of Nef protein with different host-cell protein was predicted and subsequently the down regulation of cluster of differentiation 4 (CD4) was targeted through designing of inhibitors of Nef protein for either preventing or if not at least delaying pathogenesis. Materials and Methods: The interaction network of Nef protein with host-cell proteins were predicted by PIMRider. Analogue of Lopinavir were prepared and evaluated considering all factors affecting the drug stability and toxicity. Finally Docking simulation were performed using an Auto-Dock Tool 4.0. Results: In the interaction network of Nef protein with different host-cell proteins it was found out that 22 host cell proteins are involved in the interaction and execution of different types of functions in host cell but these functions are altered with the interaction with the Nef protein. After extensive and controlled in silico analysis it has been observed that the analogue LOPI1 binds to Nef protein (2NEF) at CD4 interacting site residues giving minimum binding energy of −7.68 Kcal/mole, low Ki value of 2.34 μM, maximum number of hydrogen bonds (8), good absorption, distribution, metabolism and excretion properties, and less toxicity in comparison with the standard Lopinavir against HIV1 protease (1HPV). Conclusion: The newly designed analogue (LOPI1) is showing significant in silico interaction with Nef protein and protease and can be taken forward as a potent drug lead, which may finally emerge out to be even better than the standard Lopinavir.

Keywords

• CD4 down regulation
• HIV-1
• key regulator
• pathogenesis
• protein-protein interaction modules