Molecular dynamics directed neuroprotective activity of alcoholic extract of Garuga pinnata Roxb. in experimental rats.

Background: Garuga pinnata Roxb., a member of family Burseraceae, is a commonly grown plant in south east Asia including India in tropical rain forests predominately. Apart from folkloric use, important anti-inflammatory and antiasthamatic activity of this plant has been revealed.

Computational and ADMET Predictions of Novel Compounds as Dual Inhibitors of BuChE and GSK-3β to Combat Alzheimer's Disease.

Background: Alzheimer's disease is a serious and widespread neurodegenerative illness in the modern healthcare scenario. GSK-3β and BuChE are prominent enzymatic targets associated with Alzheimer's disease. Co-targeting GSK3β and BChE in Alzheimer's disease helps to modify disease progression and enhance cognitive function by addressing both tau pathology and cholinergic deficits.

Computational Investigation of Novel Compounds as Dual Inhibitors of AChE and GSK-3β for the Treatment of Alzheimer's Disease.

Background: Alzheimer's disease (AD) stands out as one of the most devastating and prevalent neurodegenerative disorders known today. Researchers have identified several enzymatic targets associated with AD among which Glycogen synthase kinase-3β (GSK-3β) and Acetylcholinesterase (AChE) are prominent ones. Unfortunately, the market offers very few drugs for treating or managing AD, and none have shown significant efficacy against it.

Reconnoitering imidazopyridazines as anticancer agents based on virtual modelling approach: quantitative structure activity relationship, molecular docking and molecular dynamics.

Cancer is an unimpeded growth of cells leading to metathesis of cancer and eventually spread throughout the body. PIM kinases are the members of the serine threonine kinase playing role in cancer progression, differentiation and proliferation. Till date there is no single drug targeting PIM-1 kinase in the market, that has made itself a target in limelight for the discover of new anticancer agents.

Machine learning facilitated structural activity relationship approach for the discovery of novel inhibitors targeting EGFR.

This research manuscript aims to find the most effective epidermal growth factor receptor (EGFR) inhibitors from millions of in house compounds through Machine Learning (ML) techniques. ML-based structure activity relationship (SAR) models were validated to predict biological activity of untested novel molecules. Six ML algorithms, including k nearest neighbour (KNN), decision tree (DT), Logistic Regression, support vector machine (SVM), multilinear regression (MLR), and random forest (RF), were used to build for activity prediction.

Computational modelling strategies in exploring triazolopyridazine PIM1 kinase inhibitors as anticancer agents.

Background: PIM (Proviral Integration site for Moloney Murine Leukemia virus) kinases are members of the class of kinase family serine/ threonine kinases, which play a crucial role in cancer development. As there is no drug in the market against PIM-1, kinase has transpired as a budding and captivating target for discovering new anticancer agents targeting PIM-1 kinase.

Aim: The current research pondered the development of new PIM-1 kinase inhibitors by applying a ligand-based and structure-based drug discovery approach involving 3D QSAR, molecular docking, and dynamics simulation.

Topical advances in PIM kinases and their inhibitors: Medicinal chemistry perspectives.

Cytosolic PIM kinases are the members of serine/ threonine family play a crucial role in the cancer progression and development. Overexpression of PIM kinases is observed in various types of cancers including prostate, hematological, pancreatic, breast carcinoma and likewise. PIM kinases have now been considered as limelight target for the discovery of new molecules as novel anticancer agents as no drug is in the market targeting PIM kinases.

Advanced Computational Methodologies Used in the Discovery of New Natural Anticancer Compounds.

Natural chemical compounds have been widely investigated for their programmed necrosis causing characteristics. One of the conventional methods for screening such compounds is the use of concentrated plant extracts without isolation of active moieties for understanding pharmacological activity. For the last two decades, modern medicine has relied mainly on the isolation and purification of one or two complicated active and isomeric compounds.