Encyclopedia of systems biology

This Encyclopedia is not merely a collection of relevant knowledge items fromthe field of biology, mathematics, information and communication technology (ICT) and related fields. Instead, the Encyclopedia derives its raison d’être and scope from a modern perspective of how complex biological phenomena should be studied. This view is inspired by the methodologies from (complex) systems science, which have been applied to the study of complex natural systems in many areas. Typical properties of such complex systems include system dynamics, emergence of higher-level structure, behavior and function as a result of the interaction of the many simple parts of a system, non-linearity, bistability, feedback loops, openness, memory, nested organization of constituent elements,and scale-freeness (many local and few global interactions). Systems biology combines methodologies from mathematics, ICT and biology with the aim of understanding biological systems as systems. This involves the understanding of the. Structures of a biological system, that is the components of the system and their structural relationships;. The dynamic behaviors of a system and their characteristics under different conditions and environments;. Mechanisms controlling the states and behaviors of a systems; and. Principles and methods by which systems with desired properties can be designed and constructed (syntheticbiology). The unified approach to systems biology consists of the applicationof experimental, mathematical, and computer-based modeling and analysis techniques to the study of biological organisms at all levels of biological organization, from molecules, organelles, cells, tissues to organs, and even to entire organisms, populations and environments. Within this inter-disciplinary framework, systems biology studies may be recognized as such as they are likely toinvolve one or more of the characteristics listed below. A global rather thanlocal analysis or a holistic rather than reductionistic view. This refers to the attempt of systems biology to capture and analyze a large number of aspects of a biological system simultaneously. This is in contrast with the conventional approach in which one or very few aspects (e.g., gene, protein) are studied at a time. The simultaneous study of different levels of biological organization, e.g., genome and transcriptome, or genome and organelles. The investigation of biological networks, including gene-regulatory networks, protein interaction networks, signaling networks, metabolic networks, reaction-pathway networks, and so on. The explicit incorporation of time to capture and analyze thedynamic behavior and stimuli-response patterns of biological systems and processes. The use of computational means to capture and integrate the data of andto model and simulate biological processes and systems. First comprehensive reference work covering all aspects of systems biology. Brings together an outstanding collection of contributions by top scientistsin a variety of sub-fields of the broad field of systems biology. Targets a large audience of researchers, teachers, students and practitioners comprising backgrounds ranging from biology, to computer science through to mathematics. INDICE: Applications in drug discovery. Aritificial life. Artificial intelligence and machine learning. Cancer. Cell cycle. Computational microRNA biology. Functional imaging. Gene regulatory networks: modeling, reconstruction andanalysis. Large-scale and high-performance computing. Mathematical theory andmethods. Metabolic networks. Model databases. Philosophical and foundational issues. Quantitative experiment design. Resources. Single cell experiments. Standards, exchange formats, guidelines and ontologies. Statistical theory and methods. Structural network analysis. Systems approaches to translational biomedical research: focus on diagnostic and prognostic applications. Systems immunology. Text mining. Toponomics. Transcriptional regulation. Translational control and systems biology.

• ISBN: 978-1-4419-9862-0
• Editorial: Springer New York
• Encuadernacion: Cartoné
• Páginas: 3000
• Fecha Publicación: 01/10/2012
• Nº Volúmenes: 4
• Idioma: Inglés