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![]( "Buchcover ISBN 9780470488058")
Biomolecular Networks
Methods and Applications in Systems Biology
von Luonan Chen, Rui-Sheng Wang und Xiang-Sun ZhangAlternative techniques and tools for analyzing biomolecularnetworks
With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormousamounts of data that can be used to study biomolecular networks inliving organisms. With this development has come recognition of thefact that a complicated living organism cannot be fully understoodby merely analyzing individual components. Rather, it is theinteractions of components or biomolecular networks that areultimately responsible for an organism's form and function. Thisbook addresses the important need for a new set of computationaltools to reveal essential biological mechanisms from a systemsbiology approach.
Readers will get comprehensive coverage of analyzingbiomolecular networks in cellular systems based on availableexperimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated indepth with specific biological problems and novel computationalmethods:
* GENE NETWORKS--Transcriptional regulation; reconstructionof gene regulatory networks; and inference of transcriptionalregulatory networks
* PROTEIN INTERACTION NETWORKS--Prediction of protein-proteininteractions; topological structure of biomolecular networks; alignment of biomolecular networks; and network-based prediction ofprotein function
* METABOLIC NETWORKS AND SIGNALING NETWORKS--Analysis, reconstruction, and applications of metabolic networks; modelingand inference of signaling networks; and other topics and newtrends
In addition to theoretical results and methods, manycomputational software tools are referenced and available from theauthors' Web sites. Biomolecular Networks is an indispensablereference for researchers and graduate students in bioinformatics, computational biology, systems biology, computer science, andapplied mathematics.
With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormousamounts of data that can be used to study biomolecular networks inliving organisms. With this development has come recognition of thefact that a complicated living organism cannot be fully understoodby merely analyzing individual components. Rather, it is theinteractions of components or biomolecular networks that areultimately responsible for an organism's form and function. Thisbook addresses the important need for a new set of computationaltools to reveal essential biological mechanisms from a systemsbiology approach.
Readers will get comprehensive coverage of analyzingbiomolecular networks in cellular systems based on availableexperimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated indepth with specific biological problems and novel computationalmethods:
* GENE NETWORKS--Transcriptional regulation; reconstructionof gene regulatory networks; and inference of transcriptionalregulatory networks
* PROTEIN INTERACTION NETWORKS--Prediction of protein-proteininteractions; topological structure of biomolecular networks; alignment of biomolecular networks; and network-based prediction ofprotein function
* METABOLIC NETWORKS AND SIGNALING NETWORKS--Analysis, reconstruction, and applications of metabolic networks; modelingand inference of signaling networks; and other topics and newtrends
In addition to theoretical results and methods, manycomputational software tools are referenced and available from theauthors' Web sites. Biomolecular Networks is an indispensablereference for researchers and graduate students in bioinformatics, computational biology, systems biology, computer science, andapplied mathematics.
