Modeling Human Protein Physical Interactions Involved in HIV Attachment In Silico.

ABSTRACT: The human immunodeficiency virus (HIV) remains a major global health challenge. A promising therapeutic strategy involves identifying human proteins capable of physically blocking viral entry by interacting with key components of the HIV attachment system. To address this challenge systematically, we developed a computational pipeline for prioritizing protein-protein interaction and applied it to identify host proteins interacting with the viral glycoprotein gp120 and cellular receptors (CD4, CCR5, CXCR4, CCR2). Our approach combined large-scale interaction modeling using AlphaFold 3 with a comprehensive comparative analysis framework. We screened a panel of 55 candidate human proteins selected through integrated bioinformatics analysis. The pipeline incorporated model confidence assessmen

SUBMITTER: Davydenko VS 

PROVIDER: S-EPMC12652853 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature