Computational modeling is emerging as a powerful new approach for studying and manipulating biological systems. Many diverse methods have been developed to model, visualize, and rationally alter these systems at various length scales, from atomic resolution to the level of cellular pathways. Processes taking place at larger time and length scales, such as molecular evolution, have also greatly benefited from new breeds of computational approaches.
Computational Modeling of Biological Systems: From Molecules to Pathways provides an overview of established computational methods for the modeling of biologically and medically relevant systems. It is suitable for researchers and professionals working in the fields of biophysics, computational biology, systems biology, and molecular medicine.
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. Reviews established modeling approaches of biological systems across multiple length and time scales from molecules to cells Covers recent and emerging computational techniques in modelling biological systems Provides a fresh outlook on the topic by covering multiscale modelling and includes a section on molecular evolution Can be used as a guide for selecting methods for studying biological systems Includes supplementary material: sn.pub/extras
Autor*in
Nikolay V Dokholyan
Themen in »Computational Modeling of Biological Systems«