Evidence map›Paper›PMID 42513172›Full record

ReviewMolecules (Basel, Switzerland)2026

Quantum Chemical Insights into Antibiotic Structure-Activity Relationships and Mechanisms of Action: A Review.

Seitzhan Turganbay, Alexander Ilin, Aitugan Sabitov, Jingcheng Hao, Anar Seisembekova, Amir Azembaev, Daniil Shepilov

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seitzhan TurganbayJSC Scientific Center for Anti-Infectious Drugs, Almaty 050060, Kazakhstan.ORCID 0000-0001-9621-3534
Alexander IlinJSC Scientific Center for Anti-Infectious Drugs, Almaty 050060, Kazakhstan.
Aitugan SabitovFaculty of Natural Sciences, Kazakh National Women's Teacher Training University, Almaty 050000, Kazakhstan.ORCID 0000-0003-3677-8685
Jingcheng HaoKey Laboratory of Colloid and Interface Chemistry, Ministry of Education, Shandong University, Jinan 250100, China.
Anar SeisembekovaJSC Scientific Center for Anti-Infectious Drugs, Almaty 050060, Kazakhstan.ORCID 0000-0002-7791-3145
Amir AzembaevJSC Scientific Center for Anti-Infectious Drugs, Almaty 050060, Kazakhstan.
Daniil ShepilovJSC Scientific Center for Anti-Infectious Drugs, Almaty 050060, Kazakhstan.ORCID 0009-0003-0471-0587

Funding

Ministry of Science and Higher Education of the Republic of Kazakhstan BR24992760
6 · The paper itself

Abstract

This review examines recent quantum chemical methodologies applied to investigating antibiotic structure and mechanisms of action. The discussion is organised into three sections: (1) enzymatic hydrolysis of the β-lactam ring, (2) interactions of antibiotics with ribosomal subunits and enzyme active sites, and (3) complex formation with metal ions. Each section evaluates how quantum chemical approaches, particularly density functional theory (DFT) and hybrid QM/MM techniques, model molecular processes relevant to antibiotic function, including transition states, electron density analyses, and metal coordination effects on antibacterial activity. Selected studies demonstrate the utility of these methodologies in interpreting experimental data and predicting physicochemical and biological properties of novel compounds. Distinct from previous literature, this review provides a comparative and up-to-date synthesis of quantum chemical methods related to enzymatic mechanisms and metal-based antibiotic systems, emphasising experimental validation strategies and practical guidelines for method selection in antibiotic research. It also identifies areas where quantum chemical modelling can integrate with experimental pharmacology and structural biology to support the rational design of next-generation antimicrobial agents. The review concludes by advocating an interdisciplinary framework combining quantum chemistry, biochemistry, and pharmacology to address antibiotic resistance. The review focuses primarily on antibiotics targeting bacterial cell wall and protein synthesis, particularly β-lactam antibiotics, ribosome-targeting agents, and their interactions with metal ions. Computational methods discussed are mainly limited to DFT, ab initio, and hybrid QM/MM approaches. It does not cover membrane-disrupting antibiotics, antiviral or antifungal agents, machine learning-based prediction methods, or purely molecular dynamics approaches outside a quantum mechanical context.

Indexed as

Anti-Bacterial AgentsQuantum TheoryModels, MolecularStructure-Activity RelationshipAnti-Bacterial Agentsantibiotic calculationsantibiotic-metal interactionsbasis set preferenceDFTquantum chemistry

Identifiers

PMID42513172
PMCPMC13414894

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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.