Literature DB >> 26324045

Fragment Based Strategies for Discovery of Novel HIV-1 Reverse Transcriptase and Integrase Inhibitors.

Catherine F Latham1, Jennifer La, Ricky N Tinetti, David K Chalmers, Gilda Tachedjian.   

Abstract

Human immunodeficiency virus (HIV) remains a global health problem. While combined antiretroviral therapy has been successful in controlling the virus in patients, HIV can develop resistance to drugs used for treatment, rendering available drugs less effective and limiting treatment options. Initiatives to find novel drugs for HIV treatment are ongoing, although traditional drug design approaches often focus on known binding sites for inhibition of established drug targets like reverse transcriptase and integrase. These approaches tend towards generating more inhibitors in the same drug classes already used in the clinic. Lack of diversity in antiretroviral drug classes can result in limited treatment options, as cross-resistance can emerge to a whole drug class in patients treated with only one drug from that class. A fresh approach in the search for new HIV-1 drugs is fragment-based drug discovery (FBDD), a validated strategy for drug discovery based on using smaller libraries of low molecular weight molecules (<300 Da) screened using primarily biophysical assays. FBDD is aimed at not only finding novel drug scaffolds, but also probing the target protein to find new, often allosteric, inhibitory binding sites. Several fragment-based strategies have been successful in identifying novel inhibitory sites or scaffolds for two proven drug targets for HIV-1, reverse transcriptase and integrase. While any FBDD-generated HIV-1 drugs have yet to enter the clinic, recent FBDD initiatives against these two well-characterised HIV-1 targets have reinvigorated antiretroviral drug discovery and the search for novel classes of HIV-1 drugs.

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Year:  2016        PMID: 26324045     DOI: 10.2174/1568026615666150901114329

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  2 in total

1.  Supporting the Identification of Novel Fragment-Based Positive Allosteric Modulators Using a Supervised Molecular Dynamics Approach: A Retrospective Analysis Considering the Human A2A Adenosine Receptor as a Key Example.

Authors:  Giuseppe Deganutti; Stefano Moro
Journal:  Molecules       Date:  2017-05-16       Impact factor: 4.411

2.  Molecular dissection of an inhibitor targeting the HIV integrase dependent preintegration complex nuclear import.

Authors:  Kylie M Wagstaff; Stephen Headey; Sushama Telwatte; David Tyssen; Anna C Hearps; David R Thomas; Gilda Tachedjian; David A Jans
Journal:  Cell Microbiol       Date:  2018-09-27       Impact factor: 3.715

  2 in total

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