Evidence map›Paper›PMID 38117829›Full record

ArticlePloS one2023

Targeting Sirtuin 1 for therapeutic potential: Drug repurposing approach integrating docking and molecular dynamics simulations.

Mohammed Alrouji, Fahad A Alhumaydhi, Abdulrhman Alsayari, Sharaf E Sharaf, Sheeba Shafi, Saleha Anwar, Moyad Shahwan, Akhtar Atiya, Anas Shamsi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
2.6field-weighted citation impact, top 8% of its field
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, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Design, synthesis, characterization,Future medicinal chemistry · 2025
    Article
  5. Article
  6. Review
  7. Observational
  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

9 authors at 7 institutions in 3 countries.

Mohammed AlroujiDepartment of Medical Laboratories, College of Applied Medical Sciences, Shaqra University, Shaqra, Saudi Arabia.
Fahad A AlhumaydhiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.ORCID 0000-0002-0151-8309
Abdulrhman AlsayariDepartment of Pharmacognosy, College of Pharmacy, King Khalid University (KKU), Abha, Saudi Arabia.
Sharaf E SharafPharmaceutical Chemistry Department, College of Pharmacy Umm Al-Qura University Makkah, Makkah, Saudi Arabia.ORCID 0000-0002-0679-6586
Sheeba ShafiDepartment of Nursing, College of Applied Medical Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.
Saleha AnwarCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Moyad ShahwanCenter for Medical and Bio-Allied Health Sciences, Ajman University, Ajman, UAE.
Akhtar AtiyaDepartment of Pharmacognosy, College of Pharmacy, King Khalid University (KKU), Abha, Saudi Arabia.
Anas ShamsiCenter for Medical and Bio-Allied Health Sciences, Ajman University, Ajman, UAE.ORCID 0000-0001-7055-7056
Ajman University · AEKing Khalid University · SAJamia Millia Islamia · INKing Faisal University · SAQassim University · SAShaqra University · SAUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying novel therapeutic agents is a fundamental challenge in contemporary drug development, especially in the context of complex diseases like cancer, neurodegenerative disorders, and metabolic syndromes. Here, we present a comprehensive computational study to identify potential inhibitors of SIRT1 (Sirtuin 1), a critical protein involved in various cellular processes and disease pathways. Leveraging the concept of drug repurposing, we employed a multifaceted approach that integrates molecular docking and molecular dynamics (MD) simulations to predict the binding affinities and dynamic behavior of a diverse set of FDA-approved drugs from DrugBank against the SIRT1. Initially, compounds were shortlisted based on their binding affinities and interaction analyses to identify safe and promising binding partners for SIRT1. Among these candidates, Doxercalciferol and Timiperone emerged as potential candidates, displaying notable affinity, efficiency, and specificity towards the binding pocket of SIRT1. Extensive evaluation revealed that these identified compounds boast a range of favorable biological properties and prefer binding to the active site of SIRT1. To delve deeper into the interactions, all-atom MD simulations were conducted for 500 nanoseconds (ns). These simulations assessed the conformational dynamics, stability, and interaction mechanism of the SIRT1-Doxercalciferol and SIRT1-Timiperone complexes. The MD simulations illustrated that the SIRT1-Doxercalciferol and SIRT1-Timiperone complexes maintain stability over a 500 ns trajectory. These insightful outcomes propose that Doxercalciferol and Timiperone hold promise as viable scaffolds for developing potential SIRT1 inhibitors, with implications for tackling complex diseases such as cancer, neurodegenerative disorders, and metabolic syndromes.

Indexed as

Metabolic SyndromeNeoplasmsNeurodegenerative DiseasesButyrophenonesDrug RepositioningHumansMolecular Docking SimulationMolecular Dynamics SimulationSirtuin 1ButyrophenonesSirtuin 1timiperone

Identifiers

PMID38117829
PMCPMC10732437
OpenAlexW4389990696

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.