Principles of Computational Cell Biology: From Protein Complexes to Cellular NetworksThis first textbook of its kind provides an ideal introduction to the field for students of biology and bioinformatics. Carefully designed study exercises -- with corresponding answers -- offer excellent support for those preparing for exams in these subjects, and help introduce the more technical aspects of the topic while keeping maths to a minimum. In particular the text focuses on a network-based approach to the study of cellular systems. |
Opinião das pessoas - Escrever uma crítica
Não foram encontradas quaisquer críticas nos locais habituais.
Índice
| 17 | |
| 39 | |
| 67 | |
Gene Regulatory Networks | 99 |
Metabolic Networks | 115 |
Kinetic Modeling of Cellular Processes | 155 |
Structures of Protein Complexes and Subcellular Structures | 193 |
Biomolecular Association and Binding | 231 |
T0 Integrated Networks | 261 |
Outlook | 271 |
Outras edições - Ver tudo
Principles of Computational Cell Biology: From Protein Complexes to Cellular ... Volkhard Helms Pré-visualização limitada - 2018 |
Principles of Computational Cell Biology: From Protein Complexes to Cellular ... Volkhard Helms Pré-visualização limitada - 2019 |
Principles of Computational Cell Biology: From Protein Complexes to Cellular ... Volkhard Helms Pré-visualização limitada - 2018 |
Palavras e frases frequentes
algorithm amino acid analysis atomic Bayesian network binding biochemical Bioinformatics Boolean Cell Biology cell cycle Cellular Networks clique clustering coefficient coli column combined components computed concentration connected contains correlation corresponding data sets database defined degree distribution density determine differential equation domains dynamic electron electrostatic energy enzymes example experimental extreme pathways flux balance analysis Fourier transform function gene expression gene regulatory networks genome given grid point hydrophobic input interaction networks interfaces kinetic linear mathematical metabolic network metabolites method microscopy minimal cut sets module molecular molecules motifs negative organisms overlap parameters particles phosphorylation plot position predictions problem properties protein complexes protein interaction protein–protein interactions random graph reactions regulation represent residues ribosome rotation scale-free network Section sequence shortest path signal simulation solution spanning tree steady-state step stochastic stoichiometric matrix structure subgraph substrates subunits surface three-dimensional transcription factors values vectors vertex vertices vesicle yeast
