In silico modeling employs computational methods to predict drug behavior, thereby significantly economizing both time and resources. Through the utilization of molecular docking simulations, this approach meticulously analyzes drug-target interactions, providing valuable insights into predicting therapeutic efficacy. In silico models systematically evaluate ADME properties, adeptly identifying potential issues at the early stages of drug development. Additionally, chemoinformatics facilitates the identification of lead compounds and refines molecular structures, while QSAR models quantitatively correlate chemical structure with pharmacological activity, offering a nuanced understanding of drug behavior. In the broader scope of pharmacology, computational methodologies contribute to personalized medicine by scrutinizing genetic and molecular data, tailoring drug treatments to individual profiles. The invaluable application of in silico methods in drug repurposing identifies existing drugs with untapped therapeutic potential against novel targets.
Title : Development of novel drug delivery pathways enabled by perillyl alcohol (NEO100), A monoterpene with multifaceted biomedical applications
Axel H Schonthal, University of Southern California, United States
Title : From marker to mechanism: Ligand discovery enables functional analysis of OR51E1, an ectopic olfactory receptor, in prostate cancer
Vladlen Slepak, University of Miami School of Medicine, United States
Title : Hepatotoxic botanicals-shadows of pearls
Consolato M Sergi, University of Alberta, Canada
Title : Tailored cellular environments to enable drug design
Lan Wang, Paretor LLC, United States
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model based on design-inspired biotech- & biopharma-driven applications to secure the human healthcare and biosafety
Sergey Suchkov, N D Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, InMedStar and Biona, Russian Federation
Title : Precision diagnostics: Effectiveness of innovative imaging technologies for early detection of lung cancers
Huiqin Yang, ICON Clinical Research Ltd, United Kingdom
Title : Principles and standards for managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Biocompatible synthesis of non crystalline iron oxide nanoparticles with stable colloidal properties
Lan Wang, Paretor LLC, United States
Title : Design and characterization of gum arabic buccal films for protein drug delivery
Krisztian Pamlenyi, University of Szeged, Hungary
Title : Hydrogen sulfide in sepsis: From bench to bedside
Madhav Bhatia, University of Otago, New Zealand