Mammalian target of rapamycin (mTOR) is a key regulator of cell growth, proliferation and angiogenesis. mTOR signaling is frequently hyper activated in a broad spectrum of human cancers thereby making it a potential drug target. The current drugs available have been successful in inhibiting the mTOR signaling, nevertheless, show low oral bioavailability and suboptimal solubility. Considering the narrow therapeutic window of the available inhibitors, through computational approaches, the present study pursues to identify a compound with optimal oral bioavailability and better solubility properties in addition ensuing high affinity between FKBP12 and FRB domain of mTOR. Current mTOR inhibitors; Everolimus, Temsirolimus Deforolimus and Echinomycin served as parent molecules for similarity search with a threshold of 95%. The query molecules and respective similar molecules were docked at the binding cleft of FKBP12 protein. Aided by MolDock algorithm, high affinity compounds against FKBP12 were retrieved. Patch Dock supervised protein-protein interactions were established between FRB domain of mTOR and ligand (query and similar) bound and free states of FKBP12. All the similar compounds thus retrieved showed better solubility properties and enabled better complex formation of mTOR and FKBP12. In particular Everolimus similar compound PubChem ID: 57284959 showed appreciable drugs like properties bestowed with better solubility higher oral bioavailability. In addition this compound brought about enhanced interaction between FKBP12 and FRB domain of mTOR. In the study, we report Everolimus similar compound PubChem ID: 57284959 to be potential inhibitor for mTOR pathway which can overcome the affinity and solubility concerns of current mTOR drugs.AbbreviationsmTOR - Mammalian Target of Rapamycin, FRB domain - FKBP12-rapamycin associated protein, FKBP12 - FK506-binding protein 12, OPLS - Optimized Potentials for Liquid Simulations, Akt - RAC-alpha serine/threonine-protein kinase, PI3K - phosphatidylinositide 3-kinases.

Salbutamol forms an important and widely administered β2 agonist prescribed in the symptomatic treatment of bronchial asthma. Unfortunately, a subset of patients show refractoriness to it owing to ADRB2 gene variant (rs 1800888). The variant substitutes Thr to Ile at the position 164 in the β2 adrenergic receptor leading to sub-optimal binding of agonists. The present study aims to associate the Salbutamol response with the variant and select the bioactive conformer of Sabutamol with optimal binding affinity against mutated receptor by in silico approaches. To assess bronchodilator response spirometry was performed before and 15 min after Salbutamol (200 mcg) inhalation. Responders to Salbutamol were categorized if percentage reversibility was greater than or equal to 12%, while those showing FEV₁ reversibility less than 12% were classified as non-responders. Among the 344 subjects screened, 238 were responders and 106 were non-responders. The frequency of mutant allele "T" was significantly higher in case of non-responders (p < 0.05). In silico process involved generation of Salbutamol conformer ensembles supported by systematic search algorithm. 4369 conformers were generated of which only 1882 were considered bioactive conformers (threshold RMSD≤1 in reference to normalized structure of salbutamol). All the bioactive conformers were evaluated for the binding affinity against (Thr164 Ile) receptor through MolDock aided docking algorithm. One of the bioactive conformer (P.E. = -57.0038, RMSD = 0.6) demonstrated 1.54 folds greater affinity than the normal Salbutamol in the mutated receptor. The conformer identified in the present study may be put to pharmacodynamic and pharmacokinetic studies in future ahead.

Montelukast and Zafirlukast are known leukotriene receptor antagonists prescribed in asthma treatment. However, these fall short as mono therapy and are frequently used in combination with inhaled glucocorticosteroids with or without long acting beta 2 agonists. Therefore, it is of interest to apply ligand and structure based virtual screening strategies to identify compounds akin to lead compounds Montelukast and Zafirlukast. Hence, compounds with structures having 95% similarity to these compounds were retrieved from NCBI׳s PubChem database. Compounds similar to lead were grouped and docked at the antagonist binding site of cysteinyl leukotriene receptor 1. This exercise identified compounds UNII 70RV86E50Q (Pub Cid 71587778) and Sure CN 9587085 (Pub Cid 19793614) with higher predicted binding compared to Montelukast and Zafirlukast. It is shown that the compound Sure CN 9587085 showed appreciable ligand receptor interaction compared to UNII 70RV86E50Q. Thus, the compound Sure CN 9587085 is selected as a potent antagonist to cysteinyl leukotriene receptor 1 for further consideration in vitro and in vivo validation.