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Molecular docking studies and molecular dynamic simulation analysis: To identify novel ATP-competitive inhibition of Glycogen synthase kinase-3β for Alzheimer's disease.

Suggala Ramya Shri | Yogendra Nayak | Sreedhara Ranganath Pai
F1000Research | 2024

The discovery of an ideal and effective therapy is urgently required for the treatment of Alzheimer's disease (AD). The main pathological hallmarks of Alzheimer's disease that appear before the clinical symptoms are neurofibrillary tangles, amyloid plaques, brain inflammation, and neuronal atrophy throughout the cerebral cortex and hippocampus. GSK-3β (Glycogen Synthase Kinase-3β) is regarded as the most important and promising target for therapeutic use because GSK-3β expression levels increase with age and are the most abundant and hyperactive in the brains of patients with AD. GSK-3β activation or upregulation can contribute to neurodegeneration by promoting amyloid beta (Aβ) production and tau hyperphosphorylation. Whereas the underlying mechanism for abnormal production of GSK-3β in AD brains remains unclear.

Pubmed ID: 40443428

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This is a list of tools and resources that we have found mentioned in this publication.


AutoDock (tool)

RRID:SCR_012746

Software suite of automated docking tools. Designed to predict how small molecules, such as substrates or drug candidates, bind to receptor of known 3D structure. AutoDock consist of AutoDock 4 and AutoDock Vina. AutoDock 4 consists of autodock to perform docking of ligand to set of grids describing target protein, and autogrid to pre calculate these grids.

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Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) (tool)

RRID:SCR_012820

Collection of structural data of biological macromolecules. Database of information about 3D structures of large biological molecules, including proteins and nucleic acids. Users can perform queries on data and analyze and visualize results.

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QikProp (tool)

RRID:SCR_014906

Software program for ADME property prediction for drug development. The program uses properties such as octanol/water and water/gas log Ps and 3D molecular structure. It is capable of screening compound libraries using computed properties to filter out unlikely drug candidates.

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