Modelling Molecular Structure And Reactivity In Biological Systems

Modelling Molecular Structure and Reactivity in Biological Systems

Computational and theoretical tools for understanding biological processes at the molecular level is an exciting and innovative area of science. Using these methods to study the structure, dynamics and reactivity of biomacromolecules in solution, computational chemistry is becoming an essential tool, complementing the more traditional methods for structure and reactivity determination. Modelling Molecular Structure and Reactivity in Biological Systems covers three main areas in computational chemistry; structure (conformational and electronic), reactivity and design. Initial sections focus on the link between computational and spectroscopic methods in the investigation of electronic structure. The use of Free Energy calculations for the elucidation of reaction mechanisms in enzymatic systems is also discussed. Subsequent sections focus on drug design and the use of database methods to determine ADME (absorption, distribution, metabolism, excretion) properties. This book provides a complete reference on state of the art computational chemistry practised on biological systems. It is ideal for researchers in the field of computational chemistry interested in its application to biological systems.

Modelling Molecular Structure and Reactivity in Biological Systems

Computational Modeling of Biological Systems

Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.