Evidence mapPaperPMID 39796034Full record

ReviewInternational journal of molecular sciences2024

S6K2 in Focus: Signaling Pathways, Post-Translational Modifications, and Computational Analysis.

Mahmoud I Khalil, Mohamed Helal, Ahmed F El-Sayed, Rana El Hajj, Jasmine Holail, Marwa Houssein, Ahmed Waraky, Olivier E Pardo

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Mahmoud I KhalilDepartment of Biological Sciences, Faculty of Sciences, Beirut Arab University, Beirut P.O. Box 11-5020, Lebanon.ORCID 0000-0001-7629-4357
Mohamed HelalDepartment of Biology, University of Southern Denmark, 5230 Odense, Denmark.ORCID 0000-0001-6170-4907
Ahmed F El-SayedMicrobial Genetics Department, Biotechnology Research Institute, National Research Centre, Giza 12622, Egypt.ORCID 0000-0002-5312-4870
Rana El HajjDepartment of Biological Sciences, Faculty of Sciences, Beirut Arab University, Beirut P.O. Box 11-5020, Lebanon.ORCID 0000-0001-9125-5137
Jasmine HolailDepartment of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0001-7743-6740
Marwa HousseinScientific Support, HVD Life Sciences, Riyadh 11411, Saudi Arabia.
Ahmed WarakyRegion Västra Götaland, Department of Clinical Chemistry, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden.ORCID 0000-0003-4635-021X
Olivier E PardoDivision of Cancer, Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London W12 0NN, UK.ORCID 0000-0003-2223-1435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

S6 Kinase 2 (S6K2) is a key regulator of cellular signaling and is crucial for cell growth, proliferation, and survival. This review is divided into two parts: the first focuses on the complex network of upstream effectors, downstream modulators, and post-translational modifications (PTMs) that regulate S6K2 activity. We emphasize the dynamic nature of S6K2 regulation, highlighting its critical role in cellular homeostasis and its potential as a therapeutic target in diseases like cancer. The second part utilizes in silico analyses, employing computational tools to model S6K2's three-dimensional structure and predict its interaction networks. Molecular dynamics simulations and docking studies reveal potential binding sites and interactions with novel known inhibitors. We also examine the effects of environmental contaminants that potentially disrupt S6K2 function and provide insights into the role of external factors that could impact its regulatory mechanisms. These computational findings provide a deeper understanding of the conformational dynamics of S6K2 and its interactions with its inhibitors. Together, this integrated biochemical and computational approach enhances our understanding of S6K2 regulation and identifies potential new therapeutic strategies targeting S6K2 in the oncology setting.

Indexed as

Protein Processing, Post-TranslationalRibosomal Protein S6 Kinases, 70-kDaSignal TransductionAnimalsHumansMolecular Docking SimulationMolecular Dynamics SimulationRibosomal Protein S6 Kinases, 70-kDacancercell signalingdocking studiesenvironmental contaminantsinhibitorsin silico analysismolecular dynamicspost-translational modificationsregulationS6K2

Identifiers

PMID39796034
PMCPMC11719502

What Socratic 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 Socratic graph.