Evidence map›Paper›PMID 40289986›Full record

ArticleCurrent drug discovery technologies2025

Design of Potent Telomerase Inhibitors using Ligand-based Approaches and Molecular Dynamics Simulations Studies.

Shalini Bajaj, Manikanta Murahari, Mayur Yergeri Chandra

Abstract read
PubMed Publisher
In one paragraph

Article in Current drug discovery technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

3 authors.

Shalini BajajSchool of Pharmaceutical Sciences, Jaipur National University, Jaipur, 302017, India.
Manikanta MurahariKL College of Pharmacy, Koneru Lakshmaiah Education Foundation Deemed University, Vijayawada, 522302, Andhra Pradesh, India.
Mayur Yergeri ChandraCollege of Pharmaceutical Sciences, Dayananda Sagar University, Devarakaggalahalli, Harohalli, Kanakapura Road, Ramanagara Dt., Bengaluru, 562 112, India.

Funding

Department of Science and Technology (DST), New Delhi SR/WOS-A/CS-98/2016DST-SERB CRG/2019/001452
6 · The paper itself

Abstract

introductionTelomerase is a well-recognised and a promising target for cancer therapy. In this study, we selected ligand-based approaches to design telomerase inhibitors for the development of potent anticancer agents for future cancer therapy.

methodsTo investigate the chemical characteristics required for telomerase inhibitory activity, a ligand-based pharmacophore model of oxadiazole derivatives reported from the available literature was generated using the Schrodinger phase tool. This selected pharmacophore hypothesis is validated by screening a dataset of reported oxadiazole derivatives. The pharmacophore model was selected for virtual screening using ZINCPharmer against the ZINC database. The ZINC database molecules with pharmacophore features similar to the selected pharmacophore model and good fitness score were taken for molecular docking studies. With the pkCSM and SwissADME tools we predicted the pharmacokinetic and toxicity of top ten ZINC database compounds based on docking score, binding interactions and identified two

resultsThe generated pharmacophore model displayed five features, two hydrophobic and three aromatic rings. The MM-PBSA calculations exhibited that the free binding energy of selected protein-ligand complexes were found stable and stabilized with non-polar and van-der walls free energies.

conclusionOur study suggests that ZINC82107047 and ZINC8839196 can be used as hit molecules for future biological screening and for discovery of safe and potent drugs as telomerase inhibitors for cancer therapy.

Indexed as

Antineoplastic AgentsDrug DesignEnzyme InhibitorsOxadiazolesTelomeraseHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationNeoplasmsAntineoplastic AgentsEnzyme InhibitorsLigandsOxadiazolesTelomerasecancer therapydocking scoregene expression.MD simulationpharmacophoreTelomerasevirtual screening

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.