MouseCyc: a curated biochemical pathways database for the laboratory mouseMichal and Schomburg Technische Univ. Carolo-Whilhelmina, Germany have reorganized, updated, and greatly expanded over pages of new content this unique resource, keeping it an essential biochemical reference. Summing Up: Essential. Biochemistry collections, upper-division undergraduates through professionals. Choice, 1 August Biochemical Pathways, Second Edition is recommended for all students and researchers in such fields as biochemistry, molecular biology, medicine, organic chemistry, and pharmacology. The book's illustrated pathways aids the reader in understanding the complex set of biochemical reactions that occur in biological systems.
4G - Gene interactions in biochemical pathways - I
MouseCyc: a curated biochemical pathways database for the laboratory mouse
Linking biochemical genetic data to the reference genome for the laboratory mouse is important for comparative physiology and for developing mouse models of human biology and disease. MouseCyc has been integrated with genetic and genomic data for the laboratory mouse available from the Mouse Genome Informatics database and with pathway data from other organisms, including human. The availability of the nearly complete genome sequence for the laboratory mouse provides a powerful platform for predicting genes and other genome features and for exploring the biological significance of genome organization [ 1 ]. However, building a catalog of genome annotations is just the first step in the 'post-genome' biology [ 2 , 3 ]. Deriving new insights into complex biological processes using complete genomes and related genome-scale data will require understanding how individual biological units that comprise the genome for example, genes and other genome features relate to one another in pathways and networks [ 4 ]. Identifying components within networks can be achieved through genome-wide assays of an organism's proteome or transcriptome using high-throughput technologies such as microarrays; however, it is the association of experimental data with well-curated biological knowledge that provides meaningful context to the vast amount of information produced in such experiments.
Biochemical Pathways: An Atlas of Biochemistry and Molecular Biology, Second The pathways and networks underlying biological function.
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You are currently using the site but have requested a page in the site. Would you like to change to the site? Now in its second edition, Biochemical Pathways continues to garner praise from students, instructors, and researchers for its clear, full-color illustrations of the pathways and networks that determine biological function. Biochemical Pathways examines the biochemistry of bacteria, plants, and animals. It offers a quick overview of the metabolic sequences in biochemical pathways, the chemistry and enzymology of conversions, the regulation of turnover, the expression of genes, the immunological interactions, and the metabolic background of health disorders.
Biochemical pathways, such as metabolic, regulatory, and signal transduction pathways, constitute complex networks of functional and physical interactions between molecular species in the cell. They are represented in a natural way as graphs, with molecules as nodes and processes as arcs. In particular, metabolic pathways are represented as directed graphs, with the substrates, products, and enzymes as nodes and the chemical reactions catalyzed by the enzymes as arcs. In this paper, chemical reactions in a metabolic pathway are described by edge relabeling graph transformation rules, as explicit chemical reactions and also as implicit chemical reactions, in which the substrate chemical graph, together with a minimal set of edge relabeling operations, determines uniquely the product chemical graph. Further, the problem of constructing all pathways that can accomplish a given metabolic function of transforming a substrate chemical graph to a product chemical graph using a set of explicit chemical reactions, is stated as the problem of finding an appropriate set of sequences of chemical graph transformations from the substrate to the product, and the design of a graph transformation system for the analysis of metabolic pathways is described which is based on a database of explicit chemical reactions, a database of metabolic pathways, and a chemical graph transformation system. Unable to display preview. Download preview PDF.