Computational intelligence, in silico analysis and pharmacological potential of bioactive compounds and targets
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Beschreibung
This book provides an overview of computational approaches used in contemporary pharmacological and biomedical research. It covers topics including molecular docking, ADMET prediction, molecular dynamics, machine learning, proteomics, database-driven drug design, quantum computing, and nanotechnology-based drug delivery systems. The chapters examine the pharmacological potential of natural and synthetic bioactive compounds and discuss their applications in areas such as Alzheimer's disease, cancer, and antimalarial drug discovery.
This book provides an overview of computational approaches used in contemporary pharmacological and biomedical research. It covers topics including molecular docking, ADMET prediction, molecular dynamics, machine learning, proteomics, database-driven drug design, quantum computing, and nanotechnology-based drug delivery systems. The chapters examine the pharmacological potential of natural and synthetic bioactive compounds and discuss their applications in areas such as Alzheimer's disease, cancer, and antimalarial drug discovery.
Examines molecular docking, dynamics, and structure-based drug design Highlights the role of computational chemistry and artificial intelligence in developing safer drugs Explores cutting-edge computational strategies in drug discovery
Autor*in
Carlton A. Taft
Themen in »Computational intelligence, in silico analysis and pharmacological potential of bioactive compounds and targets«
Drug Target Identification Molecular Simulation Antitumor Candidates Quantum Computational Strategies Phytochemicals Proteomics Cannabinoid Derivatives Molecular Dynamics Gromacs Tau Propagation Beta-amyloid Role Cholineserase-related Pathways Complex Stability Database-driven Strategies Nanocellulose-based