Computational Molecular Modelling In Structural Biology
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Computational Structural Biology
This work covers the impact of computational structural biology on protein structure prediction methods, macromolecular function and protein design, and key methods in drug discovery. It also addresses the computational challenges of experimental approaches in structural biology.
Computational Molecular Modelling in Structural Biology
Computational Molecular modelling in Structural Biology, Volume 113, the latest release in the Advances in Protein Chemistry and Structural Biology, highlights new advances in the field, with this new volume presenting interesting chapters on charting the Bromodomain BRD4: Towards the Identification of Novel Inhibitors with Molecular Similarity and Receptor Mapping, and Computational Methods to Discover Compounds for the Treatment of Chagas Disease. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Protein Chemistry and Structural Biology series - Updated, with the latest information on Computational Molecular Modelling in Structural Biology
Computational Modeling of Biological Systems
Author: Nikolay V Dokholyan
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-02-12
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.