{"title":"Advancing Alzheimer’s therapeutics via in silico strategies: Tideglusib based multi-target analogues","authors":"Samanta Gambhir, Manjinder Singh","doi":"10.1016/j.compbiolchem.2025.108685","DOIUrl":null,"url":null,"abstract":"<div><div>Alzheimer’s disease is an advanced neurodegenerative illness that disturbs cognitive behavior. Multiple factors are responsible for the etiology of Alzheimer’s disease and one of the cores neuropathologic finding is generation of hyper-phosphorylated tau. GSK-3β or Glycogen synthase kinase-3β a kinase leads to the hyperphosphorylation of tau protein at multiple sites and aggregates into neurofibrillary tangles in AD patient’s brain. Tideglusib is a drug which is under second phase of clinical trial (NCT01350362), impedes the GSK-3β at therapeutically concentration that has been established through various <em>in silico</em> techniques like scaffold morphing, pharmacokinetic, molecular docking and dynamic simulations studies. The Tideglusib based analogues showed good interactions with the catalytic dyed residue (Cys199) of GSK-3β GSK-3β, the main amino acid responsible for its tau hyperphosphorylation activity. Also, the designed analogues of Tideglusib are analyzed for its Multi targeting potential with three main receptors (GSK-3β, AChE, BACE) through molecular docking and molecular dynamic simulation approaches. SG-09 stands out with the best binding affinity and the stable ligand-protein interaction analogues in the time interval of 100 ns can be used as Multitargeting drug with further <em>in silico, in vitro and in vivo</em> clinical evaluation. This design strategy could thus reap considerable clinical and economic rewards.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"120 ","pages":"Article 108685"},"PeriodicalIF":3.1000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125003469","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Alzheimer’s disease is an advanced neurodegenerative illness that disturbs cognitive behavior. Multiple factors are responsible for the etiology of Alzheimer’s disease and one of the cores neuropathologic finding is generation of hyper-phosphorylated tau. GSK-3β or Glycogen synthase kinase-3β a kinase leads to the hyperphosphorylation of tau protein at multiple sites and aggregates into neurofibrillary tangles in AD patient’s brain. Tideglusib is a drug which is under second phase of clinical trial (NCT01350362), impedes the GSK-3β at therapeutically concentration that has been established through various in silico techniques like scaffold morphing, pharmacokinetic, molecular docking and dynamic simulations studies. The Tideglusib based analogues showed good interactions with the catalytic dyed residue (Cys199) of GSK-3β GSK-3β, the main amino acid responsible for its tau hyperphosphorylation activity. Also, the designed analogues of Tideglusib are analyzed for its Multi targeting potential with three main receptors (GSK-3β, AChE, BACE) through molecular docking and molecular dynamic simulation approaches. SG-09 stands out with the best binding affinity and the stable ligand-protein interaction analogues in the time interval of 100 ns can be used as Multitargeting drug with further in silico, in vitro and in vivo clinical evaluation. This design strategy could thus reap considerable clinical and economic rewards.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.