Biological Data Mining in Protein Interaction NetworksLi, Xiao-Li, Ng, See-Kiong IGI Global, 31 may 2009 - 450 páginas Methods for detecting protein-protein interactions (PPIs) have given researchers a global picture of protein interactions on a genomic scale. Biological Data Mining in Protein Interaction Networks explains bioinformatic methods for predicting PPIs, as well as data mining methods to mine or analyze various protein interaction networks. A defining body of research within the field, this book discovers underlying interaction mechanisms by studying intra-molecular features that form the common denominator of various PPIs. |
Índice
Molecular Biology of ProteinProtein Interactions for Computer Scientists | 1 |
Data Mining for Biologists | 14 |
PPI Network Construction and Cleansing | 28 |
DomainBased Prediction and Analysis of ProteinProtein Interactions | 29 |
Incorporating Graph Features for Predicting ProteinProtein Interactions | 45 |
Discovering ProteinProtein Interaction Sites from Sequence and Structure | 64 |
Reliable Interaction Networks | 80 |
Discovering Interaction Motifs from Protein Interaction Networks | 99 |
Predicting Protein Functions from Protein Interaction Networks | 203 |
Protein Interactions for Functional Genomics | 223 |
Prioritizing Disease Genes and Understanding Disease Pathways | 239 |
Dynamics of ProteinProtein Interaction Network in Plasmodium Falciparum | 257 |
Graphical Analysis and Visualization Tools for Protein Interaction Networks | 286 |
Network Querying Techniques for PPI Network Comparison | 312 |
Module Finding Approaches for Protein Interaction Networks | 335 |
Compilation of References | 354 |
Discovering Network Motifs in Protein Interaction Networks | 117 |
Discovering Protein Complexes in Protein Interaction Networks | 144 |
Evolutionary Analyses of Protein Interaction Networks | 169 |
Discovering Lethal Proteins in Protein Interaction Networks | 183 |
About the Contributors | 401 |
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Otras ediciones - Ver todo
Biological Data Mining in Protein Interaction Networks Xiao-Li Li,See-Kiong Ng No hay ninguna vista previa disponible - 2009 |
Términos y frases comunes
Acad Sci U S A algorithm analysis approaches Bader binding BioGRID biological networks BMC Bioinformatics cell cellular chapter Chen clustering coefficient connected conserved Cytoscape data mining datasets detection disease genes edges enzymes evolution evolutionary experimental falciparum Figure Fionda functional modules gene expression Gene Ontology Genet Genome GO terms graph mining high-throughput human Ideker identify integration interacting partners interacting proteins interactome interface itemset lethal proteins machine learning metabolic Mol Biol molecular interaction Natl Acad Sci network motifs nodes Nucleic Acids Res Nucleic Acids Research p-value parameters pathways phenotype PPI networks PPI sites predict protein Proc Natl Acad profiles protein complexes protein domains protein interaction networks protein pairs protein sequences protein-protein interaction networks proteome query random graphs reliability residues Saccharomyces cerevisiae Salwinski Science score similarity specific structure sub-networks subgraph systems biology techniques tion topological two-hybrid visualization yeast yeast protein Zhang