Evidence map›Paper›PMID 38833125›Full record

ArticleMolecular diversity2025

Designing a novel drug-drug conjugate as a prodrug for breast cancer therapy: in silico insights.

Sankar Muthumanickam, Balajee Ramachandran, Jeyaraman Jeyakanthan, Sonamuthu Jegatheswaran, Boomi Pandi

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular diversity, 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. Article
  2. 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

5 authors.

Sankar MuthumanickamDepartment of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India.
Balajee RamachandranDepartment of Pharmacology, Saveetha Institute of Technical and Medical Sciences (SIMATS), Chennai, 600 077, India.
Jeyaraman JeyakanthanDepartment of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India.
Sonamuthu JegatheswaranBiOMe Live Analytical Research Centre, Karaikudi, Tamil Nadu, India.
Boomi PandiDepartment of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India. pboomi1983@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) poses a significant global health threat, necessitating innovative therapeutic approaches. The ribosomal s6 kinase 2 (RSK2) has emerged as a promising target due to its roles in cell proliferation and survival. This study proposes a drug-drug conjugate prodrug comprising Methotrexate (hydrophobic) and Capecitabine (hydrophilic) for BC treatment. In silico approaches, including Molecular Docking, Molecular Dynamics Simulations, MM-PBSA, ADME, and DFT calculations were employed to evaluate the prodrug's potential. The designed MET-CAP ligand exhibits a robust docking score (-8.980 kcal/mol), superior binding affinity (-53.16 kcal/mol), and stable dynamic behavior (0.62 nm) compared to native ligands. The DFT results reveal intramolecular charge transfer in MET-CAP (HLG = 0.09 eV), indicating its potential as a BC inhibitor. ADME analysis suggests satisfactory pharmaceutically relevant properties. The results indicate that the conjugated MET-CAP ligand exhibits favorable binding characteristics, stability, and pharmaceutically relevant properties, making it a potential RSK2 inhibitor for BC therapy. The multifaceted approach provides insights into binding interactions, stability, and pharmacokinetic properties, laying the foundation for further experimental validation and potential clinical development.

Indexed as

Antineoplastic AgentsBreast NeoplasmsCapecitabineDrug DesignMethotrexateProdrugsFemaleHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsCapecitabineLigandsMethotrexateProdrugsBreast cancerCapecitabineDrug–drug conjugateIn silicoMethotrexateRSK2 protein

Identifiers

What OpenQuestion holds

Textmetadata
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.