Preface |
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xiii | |
Acknowledgments |
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xv | |
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xvii | |
Acronyms |
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xxiii | |
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1 | (22) |
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Basic Concepts in Molecular Biology |
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1 | (7) |
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Genomes, Genes, and DNA Replication Process |
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5 | (1) |
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Transcription Process for RNA Synthesis |
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6 | (1) |
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Translation Process for Protein Synthesis |
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7 | (1) |
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Biomolecular Networks in Cells |
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8 | (5) |
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13 | (5) |
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18 | (5) |
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23 | (96) |
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Transcription Regulation: Networks and Models |
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25 | (22) |
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Transcription Regulation and Gene Expression |
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25 | (7) |
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Transcription and Gene Regulation |
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25 | (3) |
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Microarray Experiments and Databases |
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28 | (2) |
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ChIP-Chip Technology and Transcription Factor Databases |
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30 | (2) |
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Networks in Transcription Regulation |
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32 | (4) |
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Nonlinear Models Based on Biochemical Reactions |
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36 | (7) |
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Integrated Models for Regulatory Networks |
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43 | (1) |
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44 | (3) |
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Reconstruction of Gene Regulatory Networks |
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47 | (42) |
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Mathematical Models of Gene Regulatory Network |
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47 | (8) |
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48 | (1) |
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49 | (3) |
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52 | (1) |
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53 | (2) |
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Reconstructing Gene Regulatory Networks |
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55 | (6) |
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Singular Value Decomposition |
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56 | (2) |
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58 | (3) |
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Inferring Gene Networks from Multiple Datasets |
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61 | (11) |
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General Solutions and a Particular Solution of Network Structures for Multiple Datasets |
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63 | (2) |
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65 | (2) |
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67 | (5) |
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Gene Network-Based Drug Target Identification |
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72 | (15) |
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Network Identification Methods |
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73 | (4) |
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Linear Programming Framework |
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77 | (10) |
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87 | (2) |
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Inference of Transcriptional Regulatory Networks |
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89 | (30) |
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Predicting TF Binding Sites and Promoters |
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89 | (3) |
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Inference of Transcriptional Interactions |
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92 | (7) |
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Differential Equation Methods |
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93 | (3) |
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96 | (2) |
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Data Mining and Other Methods |
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98 | (1) |
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Identifying Combinatorial Regulations of TFs |
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99 | (6) |
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Inferring Cooperative Regulatory Networks |
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105 | (9) |
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105 | (1) |
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106 | (2) |
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Linear Programming Models |
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108 | (1) |
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109 | (5) |
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Prediction of Transcription Factor Activity |
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114 | (4) |
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114 | (3) |
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117 | (1) |
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118 | (1) |
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II PROTEIN INTERACTION NETWORKS |
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119 | (160) |
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Prediction of Protein-Protein Interactions |
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121 | (48) |
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Experimental Protein-Protein Interactions |
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121 | (5) |
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Prediction of Protein-Protein Interactions |
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126 | (24) |
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127 | (7) |
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Maximum-Likelihood Estimation |
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134 | (5) |
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Deterministic Optimization Approaches |
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139 | (11) |
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Protein Interaction Prediction Based on Multidomain Pairs |
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150 | (13) |
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Cooperative Domains, Strongly Cooperative Domains, Superdomains |
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152 | (2) |
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Inference of Multidomain Interactions |
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154 | (3) |
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157 | (3) |
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Reconstructing Complexes by Multidomain Interactions |
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160 | (3) |
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Domain Interaction Prediction Methods |
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163 | (4) |
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163 | (1) |
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Domain Pair Exclusion Analysis |
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163 | (1) |
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Parsimony Explanation Approaches |
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164 | (1) |
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165 | (2) |
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167 | (2) |
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Topological Structure of Biomolecular Networks |
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169 | (36) |
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Statistical Properties of Biomolecular Networks |
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169 | (4) |
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Evolution of Protein Interaction Networks |
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173 | (1) |
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Hubs, Motifs, and Modularity in Biomolecular Networks |
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174 | (5) |
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Network Centralities and Hubs |
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174 | (3) |
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Network Modularity and Motifs |
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177 | (2) |
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Explorative Roles of Hubs and Network Motifs |
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179 | (15) |
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Dynamic Modularity Organized by Hubs and Network Motifs |
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180 | (6) |
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Network Motifs Acting as Connectors between Pathways |
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186 | (8) |
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Modularity Evaluation of Biomolecular Networks |
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194 | (10) |
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195 | (1) |
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Improving Module Resolution Limits by D |
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196 | (2) |
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Equivalence Between D and Kernel k Means |
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198 | (1) |
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Extension of D to General Criteria: Dλ and Dw |
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199 | (1) |
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200 | (4) |
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204 | (1) |
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Alignment of Biomolecular Networks |
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205 | (26) |
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Biomolecular Networks from Multiple Species |
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205 | (2) |
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Pairwise Alignment of Biomolecular Networks |
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207 | (6) |
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208 | (3) |
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211 | (1) |
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212 | (1) |
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Network Alignment by Mathematical Programming |
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213 | (10) |
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Integer Programming Formulation |
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214 | (2) |
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Components of the Integer Quadratic Programming Approach |
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216 | (1) |
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217 | (6) |
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Multiple Alignment of Biomolecular Networks |
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223 | (2) |
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Subnetwork and Pathway Querying |
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225 | (3) |
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228 | (3) |
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Network-Based Prediction of Protein Function |
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231 | (48) |
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Protein Function and Annotation |
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231 | (3) |
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Protein Functional Module Detection |
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234 | (5) |
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Distance-Based Clustering Methods |
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235 | (1) |
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236 | (2) |
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Validation of Module Detection |
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238 | (1) |
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Functional Linkage for Protein Function Annotation |
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239 | (10) |
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239 | (2) |
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241 | (1) |
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242 | (1) |
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243 | (6) |
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Protein Function Prediction from High-Throughput Data |
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249 | (16) |
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250 | (1) |
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251 | (3) |
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254 | (2) |
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Machine Learning Techniques |
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256 | (9) |
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Function Annotation Methods for Domains |
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265 | (12) |
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267 | (1) |
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Integration of Heterogeneous Data |
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268 | (2) |
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Domain Function Prediction |
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270 | (1) |
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271 | (6) |
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277 | (2) |
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III METABOLIC NETWORKS AND SIGNALING NETWORKS |
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279 | (74) |
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Metabolic Networks: Analysis, Reconstruction, and Application |
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281 | (32) |
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Cellular Metabolism and Metabolic Pathways |
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281 | (5) |
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Metabolic Network Analysis and Modeling |
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286 | (8) |
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286 | (2) |
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Elementary Mode and Extreme Pathway Analysis |
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288 | (4) |
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Modeling Metabolic Networks |
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292 | (2) |
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Reconstruction of Metabolic Networks |
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294 | (6) |
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Pathfinding Based on Reactions and Compounds |
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294 | (3) |
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Stoichiometric Approaches Based on Flux Profiles |
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297 | (1) |
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Inferring Biochemical Networks from Timecourse Data |
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298 | (2) |
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Drug Target Detection in Metabolic Networks |
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300 | (11) |
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Drug Target Detection Problem |
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301 | (1) |
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Integer Linear Programming Model |
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302 | (3) |
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305 | (6) |
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311 | (2) |
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Signaling Networks: Modeling and Inference |
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313 | (32) |
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Signal Transduction in Cellular Systems |
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313 | (3) |
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Modeling of Signal Transduction Pathways |
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316 | (5) |
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Differential Equation Models |
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317 | (2) |
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319 | (2) |
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Inferring Signaling Networks from High-Throughput Data |
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321 | (5) |
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322 | (1) |
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Ordering Signaling Components |
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323 | (1) |
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324 | (2) |
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Inferring Signaling Networks by Linear Programming |
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326 | (15) |
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Integer Linear Programming Model |
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327 | (2) |
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329 | (1) |
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329 | (9) |
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Inferring Signaling Networks by Network Flow Models |
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338 | (3) |
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Inferring Signaling Networks from Experimental Evidence |
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341 | (2) |
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343 | (2) |
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Other Topics and New Trends |
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345 | (8) |
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Network-Based Protein Structural Analysis |
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345 | (2) |
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Integration of Biomolecular Networks |
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347 | (2) |
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Posttranscriptional Regulation of Noncoding RNAs |
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349 | (1) |
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Biomolecular Interactions and Human Diseases |
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350 | (2) |
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352 | (1) |
References |
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353 | (28) |
Index |
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381 | |