Abstract

Human immunodeficiency virus (HIV) infection remains one of the most severe problems for humanity, particularly due to the development of HIV resistance. To evaluate an association between viral sequence data and drug combinations and to estimate an effect of a particular drug combination on the treatment results, collection of the most representative drug combinations used to cure HIV and the biological data on amino acid sequences of HIV proteins is essential. We have created a new, freely available web database containing 1,651 amino acid sequences of HIV structural proteins [reverse transcriptase (RT), protease (PR), integrase (IN), and envelope protein (ENV)], treatment history information, and CD4+ cell count and viral load data available by the user’s query. Additionally, the biological data on new HIV sequences and treatment data can be stored in the database by any user followed by an expert’s verification. The database is available on the web at http://www.way2drug.com/rhivdb.

Highlights

  • Human immunodeficiency virus (HIV) along with other viruses has a high social impact due its ability to spread from one person to another

  • The RHIVDB database contains data on the amino acid sequences of HIV proteins, including the reverse transcriptase (RT), PR, integrase IN, and HIV envelope proteins. It includes combinations of antiretroviral drugs taken during a particular time period and CD4+ cell count and viral load data during the periods of treatment in the database

  • As of March 2021, the database contains 1,653 records on HIV-1 sequence data collected from different patients

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Summary

Introduction

Human immunodeficiency virus (HIV) along with other viruses has a high social impact due its ability to spread from one person to another. All known antiretroviral drugs can only suppress viral replication but it is still impossible to eliminate the virus from human body completely (Geronikaki et al, 2016). Due to its high mutagenicity HIV is capable to develop resistance, to existing antiretroviral drugs (Geronikaki et al, 2016). With data from the (i) amino acid sequences of HIV proteins, (ii) drug combinations used to treat HIVpositive patients, and (iii) clinical data obtained from the patients, it is possible to build http://www.who.int

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