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Background Alzheimer’s disease (AD) is a neurological condition that primarily affects older people. Currently available AD drugs are associated with side effects and there is a need to develop natural drugs from plants. Aquilaria is as an endangered medicinal plant genus (commonly called agarwood plants) and various products of Aquilaria plant spp. including resinous heartwood, leaves, bark, and stem have been widely used in various traditional medicine systems. Research on agarwood plants is sparse and only a few previous studies demonstrated their neuroprotective properties in vitro. Owing to the presence of a plethora of secondary metabolites in agarwood plants, it is imperative not only to protect these plants but also evaluate the bioactivity of agarwood phytochemicals. Methods This study used Molsoft tools to predict the physicochemical properties of agarwood ligands, including the number of H-bond donors and acceptors, polar surface area, lipophilicity, solubility, and the molecular polar surface area and volume of agarwood ligands. Additionally, ADMET (absorption, digestion, metabolism, excretion, and toxicity) properties were predicted using ADMETlab 2.0. Computational methods such as AutoDock Vina and molecular dynamic (MD) simulations were employed for the docking of 41 selected agarwood compounds with AD-related molecular targets. Results and Conclusion According to docking data, three compounds aquilarisin (ASN), aquilarisinin (ANN), aquilarixanthone (AXN) showed highest binding affinity to selected AD targets compared to their known inhibitors. MD simulation studies revealed that, selected agarwood compounds’ protein-ligand complexes showed remarkable structural stability throughout 100ns simulation. The agarwood chemicals aquilarisin, aquilarisinin, aquilarixanthone, pillion (PLN), and agarotetrol (AGT) are consequently suggested as some of the found hits against AD targets, however, additional experimental validation is required to establish their effectiveness.

Background Alzheimer’s disease (AD) is a neurological condition that primarily affects older people. Currently available AD drugs are associated with side effects and there is a need to develop natural drugs from plants. Aquilaria is as an endangered medicinal plant genus (commonly called agarwood plants) and various products of Aquilaria plant spp. including resinous heartwood, leaves, bark, and stem have been widely used in various traditional medicine systems. Research on agarwood plants is sparse and only a few previous studies demonstrated their neuroprotective properties in vitro. Owing to the presence of a plethora of secondary metabolites in agarwood plants, it is imperative not only to protect these plants but also evaluate the bioactivity of agarwood phytochemicals. Methods This study used Molsoft tools to predict the physicochemical properties of agarwood ligands, including the number of H-bond donors and acceptors, polar surface area, lipophilicity, solubility, and the molecular polar surface area and volume of agarwood ligands. Additionally, ADMET (absorption, digestion, metabolism, excretion, and toxicity) properties were predicted using ADMETlab 2.0. Computational methods such as AutoDock Vina and molecular dynamic (MD) simulations were employed for the docking of 41 selected agarwood compounds with AD-related molecular targets. Results and Conclusion According to docking data, three compounds aquilarisin (ASN), aquilarisinin (ANN), aquilarixanthone (AXN) showed highest binding affinity to selected AD targets compared to their known inhibitors. MD simulation studies revealed that, selected agarwood compounds’ protein-ligand complexes showed remarkable structural stability throughout 100ns simulation. The agarwood chemicals aquilarisin, aquilarisinin, aquilarixanthone, pillion (PLN), and agarotetrol (AGT) are consequently suggested as some of the found hits against AD targets, however, additional experimental validation is required to establish their effectiveness.

Background The discovery of an ideal and effective therapy is urgently required for the treatment of Alzheimer’s disease. 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 Alzheimer’s disease. Methods We used Maestro, which is Schrodinger, for our computational simulation studies. In the present work, we have used different modules that were used in previous studies with a little modification, the modules such as Protein Preparation with the help of Protein Preparation Wizard, Ligand Preparation with the help of LigPrep, for ADME (Absorption, Distribution, Metabolism and Excretion) prediction we used Qikprop, Docking studies we used Glide module, Binding energy prediction we used Prime and Molecular dynamic simulation studies by Desmond Results Our focus is mainly on an in-silico approach, focusing on library generation; we first drew an imidazo [1,5-a]pyridine-3-carboxamide (IMID 2) scaffold structure at Enamine and subjected it to a substructure search to target the receptor grid region (ATP-competitive site) of 6Y9R. They were then subjected to various screening processes. Finally, we selected nine compounds and subjected them to molecular dynamic simulation studies. Conclusions Nine compounds showed good results with the most stable interactions. Further experiments and studies are required to confirm these results.

Background The discovery of an ideal and effective therapy is urgently required for the treatment of Alzheimer’s disease. 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 Alzheimer’s disease. Methods We used Maestro, which is Schrodinger, for our computational simulation studies. In the present work, we have used different modules that were used in previous studies with a little modification, the modules such as Protein Preparation with the help of Protein Preparation Wizard, Ligand Preparation with the help of LigPrep, for ADME (Absorption, Distribution, Metabolism and Excretion) prediction we used Qikprop, Docking studies we used Glide module, Binding energy prediction we used Prime and Molecular dynamic simulation studies by Desmond Results Our focus is mainly on an in-silico approach, focusing on library generation; we first drew an imidazo [1,5-a]pyridine-3-carboxamide (IMID 2) scaffold structure at Enamine and subjected it to a substructure search to target the receptor grid region (ATP-competitive site) of 6Y9R. They were then subjected to various screening processes. Finally, we selected nine compounds and subjected them to molecular dynamic simulation studies. Conclusions Nine compounds showed good results with the most stable interactions. Further experiments and studies are required to confirm these results.

Background and purpose: Human epidermal growth factor receptor 2 (HER2) is overexpressed in approximately 25% of breast cancer patients; therefore, its inhibition is a therapeutic target in cancer treatment. Experimental approach: In this study, two new variants of designed ankyrin repeat proteins (DARPins), designated EG3-1 and EG3-2, were designed to increase their affinity for HER2 receptors. To this end, DARPin G3 was selected as a template, and six-point mutations comprising Q26E, I32V, T49A, L53H, K101R, and G124V were created on its structure. Furthermore, the 3D structures were formed through homology modeling and evaluated using molecular dynamic simulation. Then, both structures were docked to the HER2 receptor using the HADDOCK web tool, followed by 100 ns of molecular dynamics simulation for both DARPins / HER2 complexes. Findings/Results: The theoretical result confirmed both structures' stability. Molecular dynamics simulations reveal that the applied mutations on DARPin EG3-2 significantly improve the receptor binding affinity of DARPin. Conclusion and implications: The computationally engineered DARPin EG3-2 in this study could provide a hit compound for the design of promising anticancer agents targeting HER2 receptors.

Background Alzheimer's disease (AD) is a neurological condition that primarily affects older people. Currently available AD drugs are associated with side effects and there is a need to develop natural drugs from plants. Aquilaria is as an endangered medicinal plant genus (commonly called agarwood plants) and various products of Aquilaria plant spp. including resinous heartwood, leaves, bark, and stem have been widely used in various traditional medicine systems. Research on agarwood plants is sparse and only a few previous studies demonstrated their neuroprotective properties in vitro. Owing to the presence of a plethora of secondary metabolites in agarwood plants, it is imperative not only to protect these plants but also evaluate the bioactivity of agarwood phytochemicals. Methods Computational methods such as AutoDock Vina and molecular dynamic (MD) simulations were employed for the docking of 41 selected agarwood compounds with AD-related molecular targets. Results and Conclusion According to docking data, three compounds aquilarisin, aquilarisinin, aquilarixanthone showed highest binding affinity to selected AD targets compared to their known inhibitors. MD simulation studies revealed that, selected agarwood compounds' protein-ligand complexes showed remarkable structural stability throughout 100 ns simulation. The agarwood chemicals aquilarisin, aquilarisinin, aquilarixanthone, pillion, and agarotetrol are consequently suggested as some of the found hits against AD targets, however, additional experimental validation is required to establish their effectiveness.