4.7 Article

Off-Target-Based Design of Selective HIV-1 PROTEASE Inhibitors

Journal

Publisher

MDPI
DOI: 10.3390/ijms22116070

Keywords

molecular docking; molecular descriptors; ligand-structure based; DRUDIT; on; off-targets; virtual screening; HIV-1 protease; NCI database

Funding

  1. University of Palermo [PJ_RIC_FFABR_2017_005832]
  2. European Union 2014-2020 PON Ricerca e Innovazione grant from the Italian Ministry of Education, University, and Research [ARS01_00432]

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The approval of HIV-1 protease inhibitors marked an important step in AIDS treatment, but also led to severe side effects. In-silico techniques can help design new selective inhibitors with well-fitting selectivity and without undesirable interactions. This new method could be a reliable tool in the research of targeted small molecules.
The approval of the first HIV-1 protease inhibitors (HIV-1 PRIs) marked a fundamental step in the control of AIDS, and this class of agents still represents the mainstay therapy for this illness. Despite the undisputed benefits, the necessary lifelong treatment led to numerous severe side-effects (metabolic syndrome, hepatotoxicity, diabetes, etc.). The HIV-1 PRIs are capable of interacting with secondary targets (off-targets) characterized by different biological activities from that of HIV-1 protease. In this scenario, the in-silico techniques undoubtedly contributed to the design of new small molecules with well-fitting selectivity against the main target, analyzing possible undesirable interactions that are already in the early stages of the research process. The present work is focused on a new mixed-hierarchical, ligand-structure-based protocol, which is centered on an on/off-target approach, to identify the new selective inhibitors of HIV-1 PR. The use of the well-established, ligand-based tools available in the DRUDIT web platform, in combination with a conventional, structure-based molecular docking process, permitted to fast screen a large database of active molecules and to select a set of structure with optimal on/off-target profiles. Therefore, the method exposed herein, could represent a reliable help in the research of new selective targeted small molecules, permitting to design new agents without undesirable interactions.

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