Evidence map›Paper›PMID 34199858›Full record

ArticleInternational journal of molecular sciences2021

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

Gabriele La Monica, Antonino Lauria, Alessia Bono, Annamaria Martorana

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gabriele La MonicaDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche "STEBICEF", Università degli Studi di Palermo, Viale delle Scienze-Ed, 17-90128 Palermo, Italy.ORCID 0000-0001-6510-1943
Antonino LauriaDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche "STEBICEF", Università degli Studi di Palermo, Viale delle Scienze-Ed, 17-90128 Palermo, Italy.ORCID 0000-0002-5116-6815
Alessia BonoDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche "STEBICEF", Università degli Studi di Palermo, Viale delle Scienze-Ed, 17-90128 Palermo, Italy.ORCID 0000-0002-9283-4920
Annamaria MartoranaDipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche "STEBICEF", Università degli Studi di Palermo, Viale delle Scienze-Ed, 17-90128 Palermo, Italy.ORCID 0000-0002-9560-1882

Funding

European Union 2014-2020 PON Ricerca e Innovazione grant from the Italian Ministry of Education, University and Re-search, entitled "PROGEMA-Processi Green per l'Estrazione di Principi Attivi e la Depurazione di Matrici di Scarto e Non" ARS01_00432PJ_RIC_FFABR_2017_ Grant - University of Palermo 005832
6 · The paper itself

Abstract

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.

Indexed as

Drug DesignDrug DiscoveryCatalytic DomainComputer SimulationHIV-1HIV InfectionsHIV ProteaseHIV Protease InhibitorsHumansLigandsMolecular Docking SimulationMolecular StructureProtein ConformationStructure-Activity RelationshipHIV ProteaseHIV Protease InhibitorsLigandsDRUDITHIV-1 proteaseligand-structure basedmolecular descriptorsmolecular dockingNCI databaseon/off-targetsvirtual screening

Identifiers

PMID34199858
PMCPMC8200130

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.