Evidence map›Paper›PMID 37987927›Full record

ArticleEating and weight disorders : EWD2023

Understanding the impact of structural modifications at the NNAT gene's post-translational acetylation site: in silico approach for predicting its drug-interaction role in anorexia nervosa.

Muhammad Bilal Azmi, Areesha Jawed, Syed Danish Haseen Ahmed, Unaiza Naeem, Nazia Feroz, Arisha Saleem, Kainat Sardar, Shamim Akhtar Qureshi, M Kamran Azim

Open access · diamondAbstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 1 country.

Muhammad Bilal AzmiDepartment of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan. bilal.azmi@duhs.edu.pk.
Areesha JawedDow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Syed Danish Haseen AhmedDepartment of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Unaiza NaeemDow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Nazia FerozDepartment of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Arisha SaleemDow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Kainat SardarDepartment of Biochemistry, University of Karachi, Karachi, Pakistan.
Shamim Akhtar QureshiDepartment of Biochemistry, University of Karachi, Karachi, Pakistan.
M Kamran AzimDepartment of Biosciences, Mohammad Ali Jinnah University, Karachi, Pakistan.
Dow University of Health Sciences · PKBahria University · PKMohammad Ali Jinnah University · PKUniversity of Karachi · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAnorexia nervosa (AN) is a neuropsychological public health concern with a socially disabling routine and affects a person's healthy relationship with food. The role of the NNAT (Neuronatin) gene in AN is well established. The impact of mutation at the protein's post-translational modification (PTM) site has been exclusively associated with the worsening of the protein's biochemical dynamics.

methodsTo understand the relationship between genotype and phenotype, it is essential to investigate the appropriate molecular stability of protein required for proper biological functioning. In this regard, we investigated the PTM-acetylation site of the NNAT gene in terms of 19 other specific amino acid probabilities in place of wild type (WT) through various in silico algorithms. Based on the highest pathogenic impact computed through the consensus classifier tool, we generated 3 residue-specific (K59D, P, W) structurally modified 3D models of NNAT. These models were further tested through the AutoDock Vina tool to compute the molecular drug binding affinities and inhibition constant (Ki) of structural variants and WT 3D models.

resultsWith trained in silico machine learning algorithms and consensus classifier; the three structural modifications (K59D, P, W), which were also the most deleterious substitution at the acetylation site of the NNAT gene, showed the highest structural destabilization and decreased molecular flexibility. The validation and quality assessment of the 3D model of these structural modifications and WT were performed. They were further docked with drugs used to manage AN, it was found that the ΔGbind (kcal/mol) values and the inhibition constants (Ki) were relatively lower in structurally modified models as compared to WT.

conclusionWe concluded that any future structural variation(s) at the PTM-acetylation site of the NNAT gene due to possible mutational consequences, will serve as a basis to explore its relationship with the propensity of developing AN. LEVEL OF EVIDENCE: No level of evidence-open access bioinformatics research.

Indexed as

Anorexia NervosaMembrane ProteinsNerve Tissue ProteinsProtein Processing, Post-TranslationalAcetylationAlgorithmsHumansMembrane ProteinsNerve Tissue ProteinsNNAT protein, humanAcetylationAnorexia nervosaIn silicoNeuronatinPost-translational modification

Identifiers

PMID37987927
PMCPMC10663277
OpenAlexW4388852040

What OpenQuestion holds

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LicenceCC BY
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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.