Evidence map›Paper›PMID 33986372›Full record

ArticleScientific reports2021

Drug repurposing for ligand-induced rearrangement of Sirt2 active site-based inhibitors via molecular modeling and quantum mechanics calculations.

Shiv Bharadwaj, Amit Dubey, Nitin Kumar Kamboj, Amaresh Kumar Sahoo, Sang Gu Kang, Umesh Yadava

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 97 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Shiv Bharadwaj *Department of Biotechnology, Institute of Biotechnology, College of Life and Applied Sciences, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk, 38541, Republic of Korea.
Amit Dubey *Computational Chemistry and Drug Discovery Division, Quanta Calculus Pvt. Ltd., Kushinagar, 274203, India.
Nitin Kumar KambojSchool of Physical Sciences, DIT University, Dehradun, UK, 248001, India.
Amaresh Kumar SahooDepartment of Applied Sciences, Indian Institute of Information Technology Allahabad, Allahabad, Uttar Pradesh, 211015, India. asahoo@iiita.ac.in.
Sang Gu KangDepartment of Biotechnology, Institute of Biotechnology, College of Life and Applied Sciences, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk, 38541, Republic of Korea. kangsg@ynu.ac.kr.
Umesh YadavaDepartment of Physics, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, India. u_yadava@yahoo.com.
Yeungnam University · KRDeen Dayal Upadhyaya Gorakhpur University · INDehradun Institute of Technology University · INIndian Institute of Information Technology Allahabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sirtuin 2 (Sirt2) nicotinamide adenine dinucleotide-dependent deacetylase enzyme has been reported to alter diverse biological functions in the cells and onset of diseases, including cancer, aging, and neurodegenerative diseases, which implicate the regulation of Sirt2 function as a potential drug target. Available Sirt2 inhibitors or modulators exhibit insufficient specificity and potency, and even partially contradictory Sirt2 effects were described for the available inhibitors. Herein, we applied computational screening and evaluation of FDA-approved drugs for highly selective modulation of Sirt2 activity via a unique inhibitory mechanism as reported earlier for SirReal2 inhibitor. Application of stringent molecular docking results in the identification of 48 FDA-approved drugs as selective putative inhibitors of Sirt2, but only top 10 drugs with docking scores > - 11 kcal/mol were considered in reference to SirReal2 inhibitor for computational analysis. The molecular dynamics simulations and post-simulation analysis of Sirt2-drug complexes revealed substantial stability for Fluphenazine and Nintedanib with Sirt2. Additionally, developed 3D-QSAR-models also support the inhibitory potential of drugs, which exclusively revealed highest activities for Nintedanib (pIC50 ≥ 5.90 µM). Conclusively, screened FDA-approved drugs were advocated as promising agents for Sirt2 inhibition and required in vitro investigation for Sirt2 targeted drug development.

Indexed as

AcetamidesCatalytic DomainCrystallography, X-RayDrug RepositioningEnzyme InhibitorsHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationPharmaceutical PreparationsProtein BindingQuantitative Structure-Activity RelationshipSirtuin 2ThiazolesAcetamidesEnzyme InhibitorsLigandsPharmaceutical PreparationsSirReal2SIRT2 protein, humanSirtuin 2Thiazoles

Identifiers

PMID33986372
PMCPMC8119977
OpenAlexW3159977056

What OpenQuestion holds

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Registered trials

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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.