Evidence map›Paper›PMID 37143606›Full record

ArticleAdvances and applications in bioinformatics and chemistry : AABC2023

Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach.

Ghyzlane El Haddoumi, Mariam Mansouri, Houda Bendani, El Mehdi Bouricha, Ilham Kandoussi, Lahcen Belyamani, Azeddine Ibrahimi

Open access · goldAbstract read
In one paragraph

Article in Advances and applications in bioinformatics and chemistry : AABC, 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
1.6field-weighted citation impact, top 18% 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, 8 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Ghyzlane El HaddoumiBiotechnology Lab (MedBiotech), Rabat Medical and Pharmacy School, University Mohammed V, Rabat, Morocco.ORCID 0000-0001-7925-2793
Mariam MansouriBiotechnology Lab (MedBiotech), Rabat Medical and Pharmacy School, University Mohammed V, Rabat, Morocco.ORCID 0000-0003-4408-7593
Houda BendaniBiotechnology Lab (MedBiotech), Rabat Medical and Pharmacy School, University Mohammed V, Rabat, Morocco.ORCID 0000-0002-8955-3327
El Mehdi BourichaBiotechnology Lab (MedBiotech), Rabat Medical and Pharmacy School, University Mohammed V, Rabat, Morocco.ORCID 0000-0002-6988-4647
Ilham KandoussiBiotechnology Lab (MedBiotech), Rabat Medical and Pharmacy School, University Mohammed V, Rabat, Morocco.
Lahcen BelyamaniCentre Mohammed VI for Research & Innovation (CM6), Rabat, Morocco.
Azeddine IbrahimiBiotechnology Lab (MedBiotech), Rabat Medical and Pharmacy School, University Mohammed V, Rabat, Morocco.ORCID 0000-0003-3226-3836
Mohammed V University · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The enoyl-acyl carrier protein reductase (InhA) is one of the important key enzymes employed in mycolic acids biosynthesis pathway and an important component of mycobacterial cell walls. This enzyme has also been identified as major target of isoniazid drug, except that isoniazid needs to be activated first by the catalase peroxidase (KatG) protein to form the isonicotinoyl-NAD (INH-NAD) adduct that inhibits the action of InhA enzyme. However, this activation becomes more difficult and unreachable with the problem of mutation-related resistance caused mainly by acquired mutations in KatG and InhA protein. Our main interest in this study is to identify direct InhA inhibitors using computer-aided drug design. Methods: Computer-aided drug design was used to solve this problem by applying three different approaches including mutation impact modelling, virtual screening and 3D-pharmacophore search. Results: A total of 15 mutations were collected from the literature, then a 3D model was generated for each of them and their impact was predicted. Of the 15 mutations, 10 were found to be deleterious and have a direct effect on flexibility, stability and SASA of the protein. In virtual screening, from 1,000 similar INH-NAD analogues obtained by the similarity search method, 823 compounds passed toxicity filter and drug likeness rules, which were then docked to the wild-type of InhA protein. Subsequently, 34 compounds with binding energy score better than that of INH-NAD were selected and docked against the 10 generated mutated models of InhA. Only three leads showed a lower binding affinity better than the reference. The 3D-pharmacophore model approach was used to identify the common features between those three compounds by generating a pharmacophoric map. Conclusion: The result of this study may pave the way to develop more potent mutant-specific inhibitors to overcome this resistance.

Indexed as

CADDInhAmolecular dockingmutational profileMycobacterium tuberculosis

Identifiers

PMID37143606
PMCPMC10153438
OpenAlexW4367185791

What OpenQuestion holds

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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.