Evidence map›Paper›PMID 41776022›Full record

ArticleCell biochemistry and biophysics2026

Computational Insights into SIRT1: Elucidating Mutational Impact on SIRT1-RECQL4 Structural Dynamics.

Shrikirti Anand, Trupti N Patel

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Article in Cell biochemistry and biophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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2 authors.

Shrikirti AnandDepartment of Integrative Biology, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India.
Trupti N PatelDepartment of Integrative Biology, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India. tnpatel@vit.ac.in.ORCID http://orcid.org/0000-0002-7941-602X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SIRT1 (silent mating type information regulation 2 homolog 1) functions as a versatile regulatory protein that modulates metabolism, epigenetic states, and DNA repair, thereby playing a critical role in maintaining cellular homeostasis. As a major protein deacetylase, SIRT1 acts on multiple substrates, with RECQL4 being a prominent DNA repair target. SIRT1-mediated deacetylation of RECQL4 regulates DNA replication and base excision repair, both of which are essential for genome maintenance. Genetic variants in SIRT1 have been associated with diminished deacetylase activity and many clinical ailments, including cancer. Non-synonymous single-nucleotide polymorphisms (nsSNPs) can impact the structure and function of the SIRT1 protein and impair its interactions with target proteins. Therefore, this study aimed to identify detrimental nsSNPs in SIRT1 and evaluate their potential impact on the SIRT1-RECQL4 interaction using an in-silico framework. The stepwise pathogenicity prediction of SNPs using advanced computational tools predicted five nsSNPs (R282C, R341C, P323S, D483Y, and P447S) as most damaging and highly deleterious. Subsequent docking analysis of these five SIRT1 variants with RECQL4 revealed that the D483Y mutation was the most functionally deleterious. To assess the effects of the D483Y variant on SIRT1 protein conformation and its dynamic interaction with RECQL4, 500 ns long molecular dynamics simulations (MDS) were conducted for both the wild-type and mutant SIRT1-RECQL4 complexes. MDS results indicated that the D483Y mutation reduces conformational flexibility in the otherwise dynamic SIRT1-RECQL4 complex. These findings offer structural evidence of how single amino acid substitutions can compromise SIRT1 function and provide new mechanistic insights into the SIRT1-RECQL4 regulatory axis in oncogenic progression.

Indexed as

RecQ HelicasesSirtuin 1HumansMolecular Docking SimulationMolecular Dynamics SimulationMutationPolymorphism, Single NucleotideProtein BindingProtein ConformationRecQ HelicasesRECQL4 protein, humanSIRT1 protein, humanSirtuin 1Genome instabilityRECQL4Regulatory proteinSIRT1SNPs

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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.