Evidence map›Paper›PMID 39854344›Full record

ArticlePloS one2025

Structure-guided identification of mitogen-activated protein kinase-1 inhibitors towards anticancer therapeutics.

Md Nayab Sulaimani, Shazia Ahmed, Farah Anjum, Taj Mohammad, Anas Shamsi, Ravins Dohare, Md Imtaiyaz Hassan

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. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Deep Sequencing Reveals Novel Mutations inInternational journal of molecular sciences · 2025
    Article
  5. MAPK15 PreventsInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Md Nayab SulaimaniCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Shazia AhmedDepartment of Computer Science, Jamia Millia Islamia, New Delhi, India.
Farah AnjumDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Taj MohammadCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Anas ShamsiCenter of Medical and Bio-Allied Health Sciences Research (CMBHSR), Ajman University, Ajman, United Arab Emirates.
Ravins DohareCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.ORCID 0000-0002-0602-3719
Md Imtaiyaz HassanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.ORCID 0000-0002-3663-4940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitogen-activated protein kinase 1 (MAPK1) is a serine/threonine kinase that plays a crucial role in the MAP kinase signaling transduction pathway. This pathway plays a crucial role in various cellular processes, including cell proliferation, differentiation, adhesion, migration, and survival. Besides, many chemotherapeutic drugs targeting the MAPK pathway are used in clinical practice, and novel inhibitors of MAPK1 with improved specificity and efficacy are required. Hence, targeting MAPK1 can be crucial to control metastasis in cancer therapeutics. In this study, we utilized a structure-guided virtual screening approach to screen a library of thousands of natural compounds from the ZINC database. The Lipinski rule of five (RO5) was used as a criterion for the primary selection of natural compounds. The screened compounds were prioritized based on their binding affinity, docking scores, and specificity towards the kinase domain of MAPK1 during the molecular docking process. Subsequently, the selected hits underwent rigorous screening that included the identification of potential pan-assay interference compounds (PAINS), ADMET evaluation, and prediction of pharmacological activities using PASS analysis. Afterwards, we performed a comprehensive interaction analysis to explore the binding prototypes of the screened molecules with the key residues within the MAPK1 kinase domain. Finally, selected molecules underwent extensive all-atom molecular dynamics (MD) simulations for a time duration of 200 nanoseconds. The study pinpointed three natural compounds with ZINC database IDs ZINC0209285, ZINC02130647, and ZINC02133691 as potential inhibitors of MAPK1. The study highlights that these compounds could be explored further in preclinical and clinical investigations to develop anticancer therapeutics.

Indexed as

Antineoplastic AgentsMitogen-Activated Protein Kinase 1Protein Kinase InhibitorsHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingAntineoplastic AgentsMAPK1 protein, humanMitogen-Activated Protein Kinase 1Protein Kinase Inhibitors

Identifiers

PMID39854344
PMCPMC11760640

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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.