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In Silico Modeling

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.

Committee Members
Speaker at Pharmaceutical Conference - Consolato M Sergi

Consolato M Sergi

Universities of Alberta and Ottawa, Canada
Speaker at Drug Delivery Events - Vladlen Slepak

Vladlen Slepak

University of Miami Miller School of Medicine, United States
Speaker at Drug Delivery Events -  Andreas M Papas

Andreas M Papas

Antares Health Products, United States
Speaker at Drug Delivery Events - Sergey Suchkov

Sergey Suchkov

The Russian University of Medicine and Russian Academy of Natural Science-Moscow, Russian Federation

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