Evidence map›Paper›PMID 37764457›Full record

ArticleMolecules (Basel, Switzerland)2023

Pharmacoinformatics and Breed-Based De Novo Hybridization Studies to Develop New Neuraminidase Inhibitors as Potential Anti-Influenza Agents.

Bourougaa Lotfi, Ouassaf Mebarka, Bader Y Alhatlani, Emad M Abdallah, Sarkar M A Kawsar

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Exploring the Antiviral Potential ofPharmaceuticals (Basel, Switzerland) · 2024
    Article
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

5 authors at 3 institutions in 3 countries.

Bourougaa LotfiGroup of Computational and Medicinal Chemistry, LMCE Laboratory, University of Biskra, BP 145, Biskra 70700, Algeria.
Ouassaf MebarkaGroup of Computational and Medicinal Chemistry, LMCE Laboratory, University of Biskra, BP 145, Biskra 70700, Algeria.ORCID 0000-0002-0292-0949
Bader Y AlhatlaniUnit of Scientific Research, Applied College, Qassim University, Buraydah 52571, Saudi Arabia.ORCID 0000-0003-0871-6313
Emad M AbdallahDepartment of Science Laboratories, College of Science and Arts, Qassim University, Ar Rass 51921, Saudi Arabia.ORCID 0000-0003-0549-249X
Sarkar M A KawsarLaboratory of Carbohydrate and Nucleoside Chemistry, Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong 4331, Bangladesh.ORCID 0000-0001-7964-9117
Qassim University · SAUniversity of Biskra · DZUniversity of Chittagong · BD

Funding

Qassim University 0
6 · The paper itself

Abstract

Influenza represents a profoundly transmissible viral ailment primarily afflicting the respiratory system. Neuraminidase inhibitors constitute a class of antiviral therapeutics employed in the management of influenza. These inhibitors impede the liberation of the viral neuraminidase protein, thereby impeding viral dissemination from the infected cell to host cells. As such, neuraminidase has emerged as a pivotal target for mitigating influenza and its associated complications. Here, we apply a de novo hybridization approach based on a breed-centric methodology to elucidate novel neuraminidase inhibitors. The breed technique amalgamates established ligand frameworks with the shared target, neuraminidase, resulting in innovative inhibitor constructs. Molecular docking analysis revealed that the seven synthesized breed molecules (designated Breeds 1-7) formed more robust complexes with the neuraminidase receptor than conventional clinical neuraminidase inhibitors such as zanamivir, oseltamivir, and peramivir. Pharmacokinetic evaluations of the seven breed molecules (Breeds 1-7) demonstrated favorable bioavailability and optimal permeability, all falling within the specified parameters for human application. Molecular dynamics simulations spanning 100 nanoseconds corroborated the stability of these breed molecules within the active site of neuraminidase, shedding light on their structural dynamics. Binding energy assessments, which were conducted through MM-PBSA analysis, substantiated the enduring complexes formed by the seven types of molecules and the neuraminidase receptor. Last, the investigation employed a reaction-based enumeration technique to ascertain the synthetic pathways for the synthesis of the seven breed molecules.

Indexed as

Central Nervous System DepressantsInfluenza, HumanAntiviral AgentsEnzyme InhibitorsHumansHybridization, GeneticMolecular Docking SimulationNeuraminidaseAntiviral AgentsCentral Nervous System DepressantsEnzyme InhibitorsNeuraminidaseantiviralfluMM-PBSAmolecular dockingmolecular dynamics simulationneuraminidase inhibitorspharmacokineticreaction-based enumeration

Identifiers

PMID37764457
PMCPMC10534564
OpenAlexW4386859868

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.