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Updated: Apr 21, 2026

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

HIV-1, human interaction database: current status and new features.

Danso Ako-Adjei¹, William Fu², Craig Wallin¹

¹National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA.

Nucleic Acids Research

|November 8, 2014

Summary

This summary is machine-generated.

The HIV-1 Human Interaction Database maps protein interactions to aid HIV vaccine and therapeutic target discovery. It details 14,102 interactions across 4006 human genes, including siRNA effects on replication.

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Last Updated: Apr 21, 2026

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

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Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

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Ex Vivo Infection of Human Lymphoid Tissue and Female Genital Mucosa with Human Immunodeficiency Virus 1 and Histoculture

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Published on: October 12, 2018

Area of Science:

Virology
Immunology
Bioinformatics

Background:

Human Immunodeficiency Virus Type 1 (HIV-1) research requires comprehensive interaction data for vaccine and therapeutic development.
Understanding host-pathogen interactions is crucial for identifying novel intervention strategies.

Purpose of the Study:

To present the HIV-1, Human Interaction Database, a resource for exploring HIV-1 protein-human protein interactions.
To incorporate data on the effects of human gene silencing via siRNA on HIV-1 replication.

Main Methods:

Compilation of HIV-1 protein-human protein interactions with associated metadata (RefSeq IDs, Gene IDs, keywords, PMIDs).
Integration of data on HIV-1 replication modulation by individual human gene knockdown using small interfering RNA (siRNA).
Development of a redesigned web interface for enhanced data visualization, filtering, and downloading.

Main Results:

The database describes 12,786 HIV-1 protein-human protein interactions involving 3142 human genes.
1316 replication interactions are detailed for 1250 human genes identified via siRNA.
The combined dataset encompasses 4006 human genes and 14,102 interactions.

Conclusions:

The HIV-1, Human Interaction Database provides a valuable, integrated resource for researchers.
The inclusion of siRNA data offers insights into host factors critical for HIV-1 replication.
The enhanced interface facilitates efficient access and analysis of complex interaction data for HIV research.