Evidence map›Paper›PMID 41351626›Full record

ArticleJournal of molecular modeling2025

Unveiling the molecular mechanism of acyclovir interaction with carbon dots: a DFT approach.

Karthik Krishnasamy, Thangavel Subramani

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Article in Journal of molecular modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

2 authors.

Karthik KrishnasamyDepartment of Chemistry, Nandha Arts and Science College, Erode, 638052, Tamil Nadu, India.
Thangavel SubramaniDepartment of Chemistry, Chikkaiah Government Arts and Science College, Erode, 638004, Tamil Nadu, India. apstvl@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThis study investigates the interaction between carbon dots (CD) and acyclovir (ACV), an antiviral drug, using experimental and theoretical approaches, supported by density functional theory (DFT). CD have gained attention for enhancing drug solubility and stability, making them promising candidates for drug delivery. ACV, while effective against various herpes viruses, faces challenges such as poor solubility, limited membrane permeability, and potential side effects from high-dose or long-term use. To address these issues, the research explores CD-ACV (ADA) complex formation. CDs are chosen for their unique properties including low cytotoxicity, good water solubility, biocompatibility, and potential to enhance cellular uptake. Fourier-transform infrared (FT-IR) and UV spectroscopy provide experimental validation of the ADA complex formation. DFT calculations offer insights into the binding mechanisms and electronic interactions within the ADA complex, allowing for predictive modeling of drug-carrier combinations. Docking studies with 2KI5 Thymidine Kinase further validated the inhibitory effect of CD and ADMET predictions suggested that CD possess drug-like properties. By integrating experimental and computational approaches, this study aims to enhance the understanding of molecular stability in ADA complexes and contribute to the development of more effective CD-based drug delivery systems for improved antiviral efficacy.

methodsThe structures of CD, ACV, and ADA were optimized using r

Indexed as

AcyclovirAntiviral AgentsCarbonQuantum DotsDensity Functional TheoryMolecular Docking SimulationSpectroscopy, Fourier Transform InfraredAcyclovirAntiviral AgentsCarbonAcyclovirCarbon dotDFTDrug deliveryIGMNBO

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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.