Buch, Englisch, 452 Seiten, Format (B × H): 165 mm x 242 mm, Gewicht: 792 g
Buch, Englisch, 452 Seiten, Format (B × H): 165 mm x 242 mm, Gewicht: 792 g
Reihe: Chapman & Hall/CRC Computational Biology Series
ISBN: 978-1-4200-8292-0
Verlag: Taylor & Francis Ltd
Unlike in the related area of bioinformatics, few books currently exist that document the techniques, tools, and algorithms of chemoinformatics. Bringing together worldwide experts in the field, the Handbook of Chemoinformatics Algorithms provides an overview of the most common chemoinformatics algorithms in a single source.
After a historical perspective of the applications of algorithms and graph theory to chemical problems, the book presents algorithms for two-dimensional chemical structures and three-dimensional representations of molecules. It then focuses on molecular descriptors, virtual screening methods, and quantitative structure–activity relationship (QSAR) models, before introducing algorithms to enumerate and sample chemical structures. The book also covers computer-aided molecular design, reaction network generation, and open source software and database technologies. The remaining chapters describe techniques developed in the context of bioinformatics and computational biology and their potential applications to chemical problems.
This handbook presents a selection of algorithms relevant in practice, making the book useful to those working in the field. It offers an up-to-date account of many algorithmic aspects of chemoinformatics.
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Chemie Chemie Allgemein Toxikologie, Gefahrstoffe, Sicherheit in der Chemie
- Naturwissenschaften Chemie Chemie Allgemein Pharmazeutische Chemie, Medizinische Chemie
- Naturwissenschaften Chemie Chemie Allgemein Chemische Labormethoden, Stöchiometrie
- Naturwissenschaften Chemie Chemie Allgemein Chemometrik, Chemoinformatik
Weitere Infos & Material
Representing 2D Chemical Structures with Molecular Graphs. Algorithms to Store and Retrieve 2D Chemical Structures. 3D Molecular Representations. Molecular Descriptors. Ligand- and Structure-Based Virtual Screening. Predictive Quantitative Structure–Activity Relationships Modeling: Data Preparation and the General Modeling Workflow. Predictive Quantitative Structure–Activity Relationships Modeling: Development and Validation of QSAR Models. Structure Enumeration and Sampling. Computer-Aided Molecular Design: Inverse Design. Computer-Aided Molecular Design: De Novo Design. Reaction Network Generation. Open Source Chemoinformatics Software and Database Technologies. Sequence Alignment Algorithms: Applications to Glycans, Trees, and Tree-Like Structures. Machine Learning-Based Bioinformatics Algorithms: Application to Chemicals. Using Systems Biology Techniques to Determine Metabolic Fluxes and Metabolite Pool Sizes. Index.
