By Julio Collado-Vides, Ralf Hofestädt
Are the eyes homologous? -- Automation of protein series characterization and its program in complete proteome research -- info fusion and metabolic community keep an eye on -- Specificity of protein-DNA interactions -- Genomics of gene rules: the view from Escherichia coli -- Discovery of DNA regulatory motifs -- Gene networks description and modeling within the GeneNet method -- law of mobile states in mammalian cells from a genomewide view -- Predicting protein functionality and networks on a genomewide scale -- Metabolic pathways -- towards machine simulation of the entire telephone
Read or Download Gene regulation and metabolism : postgenomic computational approaches PDF
Best molecular biology books
There should not very many books on hand that attempt to hide mobile signaling at an introductory point, yet this one does a great activity of it. it truly is good written and at a degree applicable for individuals with a number backgrounds. i feel that so long as you've got had a number of semesters of biochemistry or phone or molecular biology, try to be in a position to comprehend the cloth.
Protein layout: strategy and purposes, moment variation expands upon the former version with present, specified rules on tips on how to procedure a possible protein layout venture. With new chapters on metals as structure-forming components and practical websites, the layout and characterization of fluorinated proteins, top-down symmetric deconstruction and the layout of protein libraries and novel or repurposed enzymes.
This publication presents a simplified, but entire, evaluate of the signalling pathways working among and inside of cells, in an effort to support more youthful oncologists locate their method within the labyrinth of signalling pathways and within the multitude of signs and sign receptors, transducers and effectors that give a contribution to oncogenesis.
Viral Nanotechnology provides an up to date evaluation of the speedily constructing box of viral nanotechnology within the components of immunology, virology, microbiology, chemistry, physics, and mathematical modeling. Its chapters are via major researchers and practitioners, making it either a entire and critical source for research and study.
- The Phospholipases
- The Limits of Reductionism in Biology (Novartis Foundation Symposium 213)
- Genetic Analysis: Principles, Scope and Objectives
- Protein Biochemistry and Proteomics
- Gene Sharing and Evolution: The Diversity of Protein Functions
- Basic Mathematics for Biochemists
Additional resources for Gene regulation and metabolism : postgenomic computational approaches
Sonnhammer, E. L. , and Krogh, A. (1998). A hidden Markov model for predicting transmembrane helices in protein sequences. In J. Glasgow, T. Littlejohn, F. Major, R. Lathrop, D. Sankoff, and C. ), Proceedings of the Sixth International Conference on Intelligent Systems for Molecular Biology. Vol. 6. : AAAI Press, pp. 175–182. , and Valencia, A. (1998). Automatic classiﬁcation of proteins in functional classes using database annotations. CABIOS 14: 542–543. Tatusov, R. , Galperin, M. , Natale, D.
And Sherlock, G. (2000). Gene ontology: Tool for the uniﬁcation of biology. The Gene Ontology Consortium. Nat. Genetics 25: 25–29. The authors describe the creation of a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, the Gene Ontology (GO) Consortium has constructed three independent ontologies: biological process, molecular function, and cellular component. The GO concept is intended to make possible, in a ﬂexible and dynamic way, the annotation of homologous gene and protein sequences in multiple organisms, using a common vocabulary that results in the ability to query and retrieve genes and proteins based on their shared biology.
The ‘‘common annotation’’ approach can be used not only with pro- tein families but also with conditions aiming at a higher level in the protein family hierarchy. Only the annotation common to all members of this (for instance) superfamily will be copied over. Our methodology is independent of the multidomain organization of proteins. If a certain condition aims at a single domain that occurs with various other domains, it can be expected that only the annotation referring to this single domain will be found in all relevant characterized proteins.