Exploring computational tools in drug design using techniques from chemoinformatics, molecular modelling and computational chemistry; this book is a practical introduction for researchers new to the fields. It is ideal for aimed academics, postgraduates and industry practitioners in medicinal chemistry, chemoinformatics, molecular modelling, computational chemistry, and in silico medicinal chemistry.
Exploring computational tools in drug design using techniques from chemoinformatics, molecular modelling and computational chemistry; this book is a practical introduction for researchers new to the fields. It is ideal for aimed academics, postgraduates and industry practitioners in medicinal chemistry, chemoinformatics, molecular modelling, computational chemistry, and in silico medicinal chemistry.
Nathan Brown leads the In Silico Medicinal Chemistry group at The Institute of Cancer Research, London, supporting academic drug design by application of chemoinformatics, computational chemistry and molecular modelling, and developing new methodologies.
Inhaltsangabe
Introduction Chemistry and Graph Theory Structure Representation Molecular Similarity Molecular Property Descriptors Topological Descriptors Topographical Descriptors Statistical Learning Similarity Searching Bioisosteres and Scaffolds Clustering and Diversity Quantitative Structure-Activity Relationships Protein-Ligand Docking De Novo Molecular Design Applications in Medicinal Chemistry Summary and Outlook.