Evidence map›Paper›PMID 40498301›Full record

ArticleProbiotics and antimicrobial proteins2026

Pharmacokinetics Screening, Molecular Docking, and Dynamics Simulations Revealed Novel Antimicrobial Peptide NKLF2 Mutants as Potent Inhibitors of Mycobacterium tuberculosis.

Elizabeth Annie George, Aniket Naha, H Soundharya, Janardhan Pallavi, Anushka Menon, Anand Anbarasu, Sudha Ramaiah

Abstract read
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In one paragraph

Article in Probiotics and antimicrobial proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Comparative genomics of carbapenem resistant and susceptible clinicalFrontiers in cellular and infection microbiology · 2026
    Article
  7. Review
  8. Article
  9. Peptide-Based Strategies AgainstPharmaceuticals (Basel, Switzerland) · 2025
    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

7 authors.

Elizabeth Annie GeorgeMedical and Biological Computing Laboratory, School of Bio-Sciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.ORCID http://orcid.org/0009-0005-7991-3447
Aniket NahaMedical Biotechnology and Computational Drug Designing Laboratory, Pushpagiri Medical Society, Pushpagiri Institute of Medical Sciences and Research Centre, Tiruvalla, Kerala, 689101, India.ORCID http://orcid.org/0000-0002-6811-9767
H SoundharyaDepartment of Bio-Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.ORCID http://orcid.org/0000-0003-4065-0254
Janardhan PallaviDepartment of Bio-Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.ORCID http://orcid.org/0009-0007-4851-291X
Anushka MenonDepartment of Bio-Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.ORCID http://orcid.org/0009-0008-8071-9846
Anand AnbarasuMedical and Biological Computing Laboratory, School of Bio-Sciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.ORCID http://orcid.org/0000-0003-2216-7488
Sudha RamaiahMedical and Biological Computing Laboratory, School of Bio-Sciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India. sudhaanand@vit.ac.in.ORCID http://orcid.org/0000-0002-4800-329X

Funding

Indian Council of Medical Research IRIS ID: 2021-11889
6 · The paper itself

Abstract

The increasing threat of multidrug-resistant Mycobacterium tuberculosis (Mtb) underscores the urgent need for novel therapeutics that can circumvent existing resistance mechanisms. The clinical ineffectiveness of current treatment regimens propelled the exploration for alternative antimicrobials with minimal toxicity and multi-target specificity. This study aimed to design and optimize antimicrobial peptides (AMPs) targeting crucial Mtb enzymes, namely, arabinosyltransferase C, DNA gyrase, 30S ribosomal protein S1, and enoyl-[acyl-carrier-protein] reductase. Curated set of 92 natural peptides, exhibiting high positive charge and reported efficacy against Mtb-H37Rv were screened and evaluated for pharmacokinetic properties. To enhance efficacy and overcome the intrinsic limitations of cationic AMPs, a mutant library was generated. Among them, NKLF2 and its mutants (M16C and M16I) demonstrated improved antibacterial efficacy (~ 5%) and favorable pharmacological profiles with no predicted toxicity. Molecular docking revealed enhanced binding affinities of the mutants across multiple targets. Notably, NKLF2_M16I exhibited enhancements of 9.71% and 7.63% in binding affinities against 4NNI and 5VRL respectively, while NKLF2_M16C achieved increments of 5.4% and 4.37% against 4G3N and 3PTY. Intermolecular interaction profiling identified hydrogen bonds, salt bridges, and hydrophobic interactions with the crucial active site residues of each target. Validations through coarse-grained, molecular, and essential dynamics simulations revealed minimal residue-level fluctuations, stable backbone profile, and minimized energy cluster basins ensuring compactness and stability of the protein-peptide docked complexes. These in silico findings open new avenues for further experimental validations and suggest that NKLF2 mutants in combination with conventional anti-TB drugs could pave the path towards the development of effective therapeutics in combating Mtb.

Indexed as

Antimicrobial PeptidesAntitubercular AgentsMycobacterium tuberculosisBacterial ProteinsHumansMicrobial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationMutationAntimicrobial PeptidesAntitubercular AgentsBacterial ProteinsAntimicrobial peptidesFree energy landscapeMolecular dynamic simulationsMultidrug resistantMycobacterium tuberculosisPrincipal component analysis

Identifiers

What OpenQuestion holds

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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.