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.
Yong Xiao Wang
Albany Medical College, United States
Consolato M Sergi
Universities of Alberta and Ottawa, Canada
Vladlen Slepak
University of Miami Miller School of Medicine, United States
Andreas M Papas
Antares Health Products, United States
Bernd Blobel
University of Regensburg, Germany
Huiqin Yang
ICON Clinical Research Ltd, United Kingdom
Srividya Narayanan
Northeastern University, United States
Maria Richards Brown
University College London, United Kingdom
Rassa Pegahi
UPSA, France
Hanieh Khalili
University of East London, United KingdomSubmit your abstract Today
Title : Medical liver biopsy: Toward a personalized approach
Consolato M Sergi, Universities of Alberta and Ottawa, Canada
Title : Emerging formulation and delivery applications of vitamin E TPGS
Andreas M Papas, Antares Health Products, United States
Title : Ectopically expressed olfactory receptors as an untapped family of drug targets and discovery of agonists and antagonists of OR51E1, an understudied G protein-coupled receptor
Vladlen Slepak, University of Miami Miller School of Medicine, United States
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model through design-inspired biotech- & biopharma-driven applications and upgraded business marketing to secure the human healthcare and biosafety
Sergey Suchkov, The Russian University of Medicine and Russian Academy of Natural Science-Moscow, Russian Federation
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Bernd Blobel, University of Regensburg, Germany
Title : Innovative development and delivery of biologics for chronic obstructive pulmonary disease
Yong Xiao Wang, Albany Medical College, United States
Title : Macitentan/tadalafil combination– An additional value in pharmacotherapy of pulmonary arterial hypertension
Miroslav Radenkovic, University of Belgrade, Serbia
Title : Mathematical modeling the disc diffusion test: Antibacterial activity of copper-doped SnO2
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Genetic keys and nano locks: Unlocking personalized medicine
Srividya Narayanan, Northeastern University, United States
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Luis Jesus Villarreal Gomez, FCITEC - Universidad Autónoma de Baja California, Mexico