2009, ISBN 0521888956, Volume 9780521888950, xiv, 278 p., [8] p. of plates
The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as...
methods | Computational Biology | Protein Binding | physiology | Data processing | Mathematical models | Protein-protein interactions | Protein Interaction Mapping | Protein Interaction Mapping - methods
methods | Computational Biology | Protein Binding | physiology | Data processing | Mathematical models | Protein-protein interactions | Protein Interaction Mapping | Protein Interaction Mapping - methods
Book
2009, ISBN 9781605663982, 450
"The goal of this book is to disseminate research results and best practices from cross-disciplinary researchers and practitioners interested in, and working...
Databases, Protein | methods | Computational Biology | Proteomics | Data processing | Data mining | Protein-protein interactions | Protein Interaction Mapping | Biology, life sciences
Databases, Protein | methods | Computational Biology | Proteomics | Data processing | Data mining | Protein-protein interactions | Protein Interaction Mapping | Biology, life sciences
eBook
Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 5/2014, Volume 111, Issue 19, pp. 7156 - 7160
Recently, the focus of network research shifted to network controllability, prompting us to determine proteins that are important for the control of the...
Yeasts | Transcription factors | Phosphorylation | Essential genes | Databases | Social interaction | Genes | Humans | Viruses | Human genetics | INTERACTION MAP | EVOLUTIONARY | PHOSPHORYLATION | MULTIDISCIPLINARY SCIENCES | RESOURCE | Transcription Factors - metabolism | Saccharomyces cerevisiae - physiology | Saccharomyces cerevisiae - genetics | Databases, Protein | Databases, Genetic | Saccharomyces cerevisiae Proteins - physiology | Software | Saccharomyces cerevisiae Proteins - genetics | Transcription Factors - genetics | Protein Interaction Mapping | Proteins | Physiological aspects | Research | Health aspects | Protein kinases | Biological Sciences
Yeasts | Transcription factors | Phosphorylation | Essential genes | Databases | Social interaction | Genes | Humans | Viruses | Human genetics | INTERACTION MAP | EVOLUTIONARY | PHOSPHORYLATION | MULTIDISCIPLINARY SCIENCES | RESOURCE | Transcription Factors - metabolism | Saccharomyces cerevisiae - physiology | Saccharomyces cerevisiae - genetics | Databases, Protein | Databases, Genetic | Saccharomyces cerevisiae Proteins - physiology | Software | Saccharomyces cerevisiae Proteins - genetics | Transcription Factors - genetics | Protein Interaction Mapping | Proteins | Physiological aspects | Research | Health aspects | Protein kinases | Biological Sciences
Journal Article
Molecular Systems Biology, ISSN 1744-4292, 12/2015, Volume 11, Issue 12, pp. 848 - n/a
Studying protein interaction networks of all proteins in an organism (“interactomes”) remains one of the major challenges in modern biomedicine. Such...
interactome mapping | PPI technologies | protein‐protein interactions (PPIs) | proteomics | bioinformatics | protein-protein interactions (PPIs) | COMPLEX PREDICTION | COMPLEMENTATION BIFC ANALYSIS | BIOCHEMISTRY & MOLECULAR BIOLOGY | YEAST 2-HYBRID | RESONANCE ENERGY-TRANSFER | MOLECULAR INTERACTION DATABASE | MEMBRANE 2-HYBRID ASSAY | ATTACHMENT BASED METHOD | FUNCTIONAL MODULES | INTERACTION LANDSCAPE | AFFINITY-PURIFICATION | Mammals - metabolism | Protein Interaction Mapping - methods | Computational Biology - methods | Animals | Proteins - metabolism | Humans | Protein Interaction Maps | Proteins | Biochemistry | Cellular biology | Molecular biology | Laboratories | Medical treatment | Mapping | Genetic diversity | Research | Gene expression | Peptide mapping | Studies | Researchers | Computer applications | Proteomics | Gene mapping | Bioinformatics | Methods
interactome mapping | PPI technologies | protein‐protein interactions (PPIs) | proteomics | bioinformatics | protein-protein interactions (PPIs) | COMPLEX PREDICTION | COMPLEMENTATION BIFC ANALYSIS | BIOCHEMISTRY & MOLECULAR BIOLOGY | YEAST 2-HYBRID | RESONANCE ENERGY-TRANSFER | MOLECULAR INTERACTION DATABASE | MEMBRANE 2-HYBRID ASSAY | ATTACHMENT BASED METHOD | FUNCTIONAL MODULES | INTERACTION LANDSCAPE | AFFINITY-PURIFICATION | Mammals - metabolism | Protein Interaction Mapping - methods | Computational Biology - methods | Animals | Proteins - metabolism | Humans | Protein Interaction Maps | Proteins | Biochemistry | Cellular biology | Molecular biology | Laboratories | Medical treatment | Mapping | Genetic diversity | Research | Gene expression | Peptide mapping | Studies | Researchers | Computer applications | Proteomics | Gene mapping | Bioinformatics | Methods
Journal Article
Science, ISSN 0036-8075, 5/2010, Volume 328, Issue 5981, pp. 1043 - 1046
The interactions of protein kinases and phosphatases with their regulatory subunits and substrates underpin cellular regulation. We identified a kinase and...
Datasets | Research fellowships | Yeasts | Protein metabolism | Phosphatases | Cellular metabolism | REPORTS | Cell cycle | Research grants | Proteomes | Nitrogen | MITOSIS | SIGNAL | PHOSPHORYLATION | MULTIDISCIPLINARY SCIENCES | TRANSDUCTION | CELL-CYCLE | SACCHAROMYCES-CEREVISIAE | FEEDBACK | PROTEOMICS | Protein Kinases - metabolism | Carbon - metabolism | Nitrogen - metabolism | Phosphorylation | Signal Transduction | Phosphoprotein Phosphatases - metabolism | Cell Cycle Proteins - metabolism | Protein Tyrosine Phosphatases - metabolism | Proteome | Protein Subunits - metabolism | MAP Kinase Signaling System | Protein Interaction Mapping | Saccharomyces cerevisiae - metabolism | Metabolic Networks and Pathways | Models, Biological | Mass Spectrometry | Saccharomyces cerevisiae Proteins - metabolism | Saccharomyces cerevisiae - enzymology | DNA Damage | Binding Sites | Protein-Serine-Threonine Kinases - metabolism | Physiological aspects | Genetic aspects | Research | Yeast fungi | Protein kinases | Proteins | Enzymes | Yeast | Microbiology | Kinases
Datasets | Research fellowships | Yeasts | Protein metabolism | Phosphatases | Cellular metabolism | REPORTS | Cell cycle | Research grants | Proteomes | Nitrogen | MITOSIS | SIGNAL | PHOSPHORYLATION | MULTIDISCIPLINARY SCIENCES | TRANSDUCTION | CELL-CYCLE | SACCHAROMYCES-CEREVISIAE | FEEDBACK | PROTEOMICS | Protein Kinases - metabolism | Carbon - metabolism | Nitrogen - metabolism | Phosphorylation | Signal Transduction | Phosphoprotein Phosphatases - metabolism | Cell Cycle Proteins - metabolism | Protein Tyrosine Phosphatases - metabolism | Proteome | Protein Subunits - metabolism | MAP Kinase Signaling System | Protein Interaction Mapping | Saccharomyces cerevisiae - metabolism | Metabolic Networks and Pathways | Models, Biological | Mass Spectrometry | Saccharomyces cerevisiae Proteins - metabolism | Saccharomyces cerevisiae - enzymology | DNA Damage | Binding Sites | Protein-Serine-Threonine Kinases - metabolism | Physiological aspects | Genetic aspects | Research | Yeast fungi | Protein kinases | Proteins | Enzymes | Yeast | Microbiology | Kinases
Journal Article
Cell Stem Cell, ISSN 1934-5909, 04/2010, Volume 6, Issue 4, pp. 369 - 381
Transcription factors, such as Oct4, are critical for establishing and maintaining pluripotent cell identity. Whereas the genomic locations of several...
STEMCELL | OCT4 | SOX2 | COMPLEX | COACTIVATOR | REGULATES SELF-RENEWAL | MOUSE | RECEPTOR-BETA | PLURIPOTENCY | NANOG | TRANSCRIPTIONAL REGULATION | CELL & TISSUE ENGINEERING | CELL BIOLOGY | Cell Line | Embryonic Stem Cells - metabolism | Cell Proliferation | Embryonic Stem Cells - cytology | Gene Regulatory Networks - genetics | Transcription Factors - chemistry | Protein Transport | Transcription Factors - metabolism | Phenotype | Animals | Gene Expression Regulation, Developmental | Mass Spectrometry | Octamer Transcription Factor-3 - metabolism | Protein Binding | Transcription Factors - isolation & purification | Mice | Resource
STEMCELL | OCT4 | SOX2 | COMPLEX | COACTIVATOR | REGULATES SELF-RENEWAL | MOUSE | RECEPTOR-BETA | PLURIPOTENCY | NANOG | TRANSCRIPTIONAL REGULATION | CELL & TISSUE ENGINEERING | CELL BIOLOGY | Cell Line | Embryonic Stem Cells - metabolism | Cell Proliferation | Embryonic Stem Cells - cytology | Gene Regulatory Networks - genetics | Transcription Factors - chemistry | Protein Transport | Transcription Factors - metabolism | Phenotype | Animals | Gene Expression Regulation, Developmental | Mass Spectrometry | Octamer Transcription Factor-3 - metabolism | Protein Binding | Transcription Factors - isolation & purification | Mice | Resource
Journal Article
PROTEOMICS, ISSN 1615-9853, 03/2014, Volume 14, Issue 4-5, pp. 338 - 352
With more dynamic information available, researchers’ attention has recently shifted from static properties to dynamic properties of protein–protein...
Protein complex | Biomarker | Network medicine | Dynamic protein interaction networks | Gene expression | Bioinformatics | LOCALIZATION | QUANTIFICATION | BIOCHEMISTRY & MOLECULAR BIOLOGY | BIOCHEMICAL RESEARCH METHODS | SPECTROMETRY-BASED PROTEOMICS | TIME-COURSE | IDENTIFICATION | SACCHAROMYCES-CEREVISIAE | YEAST | RNA-SEQ | GENE-EXPRESSION | CYCLE | Proteins - genetics | Protein Interaction Maps - genetics | Genomics | Humans | Computational Biology | Proteomics | Transcriptome | Biomarkers | Proteins | Binding sites
Protein complex | Biomarker | Network medicine | Dynamic protein interaction networks | Gene expression | Bioinformatics | LOCALIZATION | QUANTIFICATION | BIOCHEMISTRY & MOLECULAR BIOLOGY | BIOCHEMICAL RESEARCH METHODS | SPECTROMETRY-BASED PROTEOMICS | TIME-COURSE | IDENTIFICATION | SACCHAROMYCES-CEREVISIAE | YEAST | RNA-SEQ | GENE-EXPRESSION | CYCLE | Proteins - genetics | Protein Interaction Maps - genetics | Genomics | Humans | Computational Biology | Proteomics | Transcriptome | Biomarkers | Proteins | Binding sites
Journal Article
PROTEOMICS, ISSN 1615-9853, 08/2015, Volume 15, Issue 15, pp. 2597 - 2601
As high‐throughput techniques including proteomics become more accessible to individual laboratories, there is an urgent need for a user‐friendly...
Interaction networks | Enrichment analysis | Bioinformatics | Omics | OMICS DATA | BIOCHEMISTRY & MOLECULAR BIOLOGY | BIOCHEMICAL RESEARCH METHODS | LARGE GENE LISTS | User-Computer Interface | Computational Biology - methods | Data Interpretation, Statistical | Reproducibility of Results | Humans | Gene Expression Profiling - methods | Gene Regulatory Networks | Metabolomics - methods | Protein Interaction Maps | Software | Internet | Proteomics - methods | Genomics - methods | Gene Ontology | Genomics | Data bases | Open access | Proteomics
Interaction networks | Enrichment analysis | Bioinformatics | Omics | OMICS DATA | BIOCHEMISTRY & MOLECULAR BIOLOGY | BIOCHEMICAL RESEARCH METHODS | LARGE GENE LISTS | User-Computer Interface | Computational Biology - methods | Data Interpretation, Statistical | Reproducibility of Results | Humans | Gene Expression Profiling - methods | Gene Regulatory Networks | Metabolomics - methods | Protein Interaction Maps | Software | Internet | Proteomics - methods | Genomics - methods | Gene Ontology | Genomics | Data bases | Open access | Proteomics
Journal Article
Science, ISSN 0036-8075, 09/2016, Volume 353, Issue 6306, pp. aaf1420 - aaf1420
We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000...
SACCHAROMYCES-CEREVISIAE GENOME | SUPPRESSOR | COMPLEX | CONSERVATION | METABOLISM | BUDDING YEAST | MULTIDISCIPLINARY SCIENCES | EXPLORATION | EPISTASIS | CANCER | REVEALS | Epistasis, Genetic | Saccharomyces cerevisiae - genetics | Genetic Pleiotropy - physiology | Saccharomyces cerevisiae Proteins - genetics | Gene Regulatory Networks | Genes, Essential | Genes, Fungal - physiology | Genotype & phenotype | Genetics | Maps | Cellular biology | Diagrams | Wiring | Networks | Pathways | Genes | Modules | Mathematical models
SACCHAROMYCES-CEREVISIAE GENOME | SUPPRESSOR | COMPLEX | CONSERVATION | METABOLISM | BUDDING YEAST | MULTIDISCIPLINARY SCIENCES | EXPLORATION | EPISTASIS | CANCER | REVEALS | Epistasis, Genetic | Saccharomyces cerevisiae - genetics | Genetic Pleiotropy - physiology | Saccharomyces cerevisiae Proteins - genetics | Gene Regulatory Networks | Genes, Essential | Genes, Fungal - physiology | Genotype & phenotype | Genetics | Maps | Cellular biology | Diagrams | Wiring | Networks | Pathways | Genes | Modules | Mathematical models
Journal Article