Computation In Cellular And Molecular Biological Systems
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Computation in Cellular and Molecular Biological Systems
Computation in Cellular and Molecular Biological Systems is a selection of papers presented at the First International Workshop on Information Processing in Cells and Tissues (IPCAT 95). The book contains contributions from mathematicians, biochemists, cell biologists, physiologists and computer scientists. It is multidisciplinary in nature and deals with integrative aspects of information processing, cellular systems and dynamical methods.
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.
Computational Systems Biology
This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. - Logical information flow aids understanding of basic building blocks of life through disease phenotypes - Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns - Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation - Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.