Evidence map›Paper›PMID 41166341›Full record

ArticlePloS one2025

Targeting MERTK tyrosine kinase: Virtual screening and molecular dynamics insights for anti-cancer drug development.

Kashif Kifayat, Kamaljot Singh, Mahmood Khan, Dur E Maknoon Razia, Sara Khan, Chengyong Dong, Liming Wang

Abstract read
In one paragraph

Article in PloS one, 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

7 authors.

Kashif KifayatDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Kamaljot SinghDepartment of Chemistry, Faculty of the Basic and Applied Sciences, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India.ORCID https://orcid.org/0000-0002-0204-9559
Mahmood KhanKey Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China.
Dur E Maknoon RaziaDepartment of Pathogen Biology, College of Basic Medicinal sciences, Jilin University, Changchun, China.
Sara KhanDepartment of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Khyber Pakhtunkhwa, Pakistan.ORCID https://orcid.org/0000-0002-7764-6163
Chengyong DongDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Liming WangDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global public health facing serious challenges due to the incidence of cancer and the growth of treatment resistance. Mer-tyrosine kinase plays a crucial role in cell biology and correlated with many cancers such as Epithelial ovarian cancer, liver cancer, breast cancer, Metastatic melanoma, and Acute myeloid leukemia (AML). Hence the identification of novel drug for MERTK protein is extreme important. In this research, we used computational techniques, molecular operating environment (MOE 2015) for virtual screening with drug like natural compounds library. We used known compound UNC2025 as positive control and one million compounds was retrieved from different databases (OTAVA, ZINC, ChEMBL) and docked with MERTK protein. Out of million compounds the 4 top hit inhibitors chosen from docking were further screened for ADMET profiling confirming their compliance with drug designing and toxicological principle and subjected to molecular dynamic (MD) simulation and MM-PBSA analysis. The results of these analyses showed that only four compounds that make strong interactions with MERTK protein via highest binding affinity hydrogen bond and hydrophobic contacts (lig1, lig2, lig3, lig4). The computed binding affinity ranges from -22.977 to -18.707 kcal/mol. The increased helix and reduced β-sheet contents in MERTK on the binding of top hit candidates depicted the higher structural stability of MERTK, rather than MERTK alone and MERTK-UNC2025. The study finds critical residues which serve a vital part in binding with the inhibitor and the active site of the MERTK protein, i.e., Phe598, Gly599, Lys619, Arg629, Glu633, Glu637, Arg722, Asp723, Arg727, Asp741, Gly743, Leu744, Lys746, Arg758, Ala760, and Lys761 through decomposed binding free energy analysis. This study focuses on the pursuit of several MERTK protein targets, which could have consequences for the development of novel therapeutics for various cancers.

Indexed as

Antineoplastic Agentsc-Mer Tyrosine KinaseDrug DevelopmentMolecular Dynamics SimulationProtein Kinase InhibitorsHumansHydrogen BondingMolecular Docking SimulationProtein BindingAntineoplastic Agentsc-Mer Tyrosine KinaseMERTK protein, humanProtein Kinase Inhibitors

Identifiers

PMID41166341
PMCPMC12574917

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.