3 results match your criteria: "Philadelphia University P.O. Box 1[Affiliation]"

The arrival of comprehensive genome sequencing has accelerated the understanding of genetically aberrant advanced cancers and target identification for possible cancer treatment. Fibroblast growth factor receptor (FGFR) gene alterations are frequent findings in various rare and advanced cancers refractive to mainstay chemo-therapy or surgical interventions. Several FGFR inhibitors have been developed for addressing these genetically altered FGFR-harboring malignancies, and some have performed well in clinical trials.

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In the drug discovery setting, undesirable ADMET properties of a pharmacophore with good predictive power obtained after a tedious drug discovery and development process may lead to late-stage attrition. The earlystage ADMET profiling has brought a new dimension to lead drug development. Although several high-throughput in vitro models are available for ADMET profiling, the in silico methods are gaining more importance because of their economic and faster prediction ability without the requirements of tedious and expensive laboratory resources.

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Adenosine receptors (ARs) are classified as A, A, A, and A subtypes belonging to the superfamily of G-protein-coupled receptors (GPCRs). Several molecular modeling approaches have been developed for AAR and its antagonists, from the construction of a homology model, molecular docking, molecular dynamics (MD) simulations, and 3D quantitative structure-activity relationship (QSAR) modeling to pharmacophore modeling, each of which has different objectives and outcomes. In this review, we provide a systematic outline of advances in molecular modeling approaches towards AAR for deducing its structure and interactions with various types of antagonist.

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