Systems biology analysis of protein‐drug interactions
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Giulio Superti-Furga | Uwe Rix | Jacques Colinge | Keiryn L Bennett | G. Superti-Furga | K. Bennett | J. Colinge | U. Rix
[1] Ioannis Xenarios,et al. DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions , 2002, Nucleic Acids Res..
[2] James S. Duncan,et al. An Unbiased Evaluation of CK2 Inhibitors by Chemoproteomics , 2008, Molecular & Cellular Proteomics.
[3] G. Superti-Furga,et al. The Btk tyrosine kinase is a major target of the Bcr-Abl inhibitor dasatinib , 2007, Proceedings of the National Academy of Sciences.
[4] Damian Szklarczyk,et al. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored , 2010, Nucleic Acids Res..
[5] G. Superti-Furga,et al. The chemokine interleukin‐8 and the surface activation protein CD69 are markers for Bcr–Abl activity in chronic myeloid leukemia , 2008, Molecular oncology.
[6] E. Masuda,et al. Novel Immunosuppression: R348, a JAK3- and Syk-Inhibitor Attenuates Acute Cardiac Allograft Rejection , 2008, Transplantation.
[7] A. Barabasi,et al. An empirical framework for binary interactome mapping , 2008, Nature Methods.
[8] E. Petricoin,et al. Proteins, drug targets and the mechanisms they control: the simple truth about complex networks , 2007, Nature Reviews Drug Discovery.
[9] M. Mann,et al. Global, In Vivo, and Site-Specific Phosphorylation Dynamics in Signaling Networks , 2006, Cell.
[10] M. Mann,et al. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* , 2002, Molecular & Cellular Proteomics.
[11] Bernhard Kuster,et al. Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors , 2007, Nature Biotechnology.
[12] Briana Foley,et al. Application of chemoproteomics to drug discovery: identification of a clinical candidate targeting hsp90. , 2010, Chemistry & biology.
[13] Y. Zhang,et al. IntAct—open source resource for molecular interaction data , 2006, Nucleic Acids Res..
[14] A. Barabasi,et al. The human disease network , 2007, Proceedings of the National Academy of Sciences.
[15] Bruce D Gelb,et al. Noonan syndrome and related disorders: dysregulated RAS-mitogen activated protein kinase signal transduction. , 2006, Human molecular genetics.
[16] G. Superti-Furga,et al. Immunosuppression and atypical infections in CML patients treated with dasatinib at 140 mg daily , 2009, European journal of clinical investigation.
[17] Pall I. Olason,et al. A human phenome-interactome network of protein complexes implicated in genetic disorders , 2007, Nature Biotechnology.
[18] P. Bork,et al. A side effect resource to capture phenotypic effects of drugs , 2010, Molecular systems biology.
[19] Albert J R Heck,et al. Revealing promiscuous drug-target interactions by chemical proteomics. , 2009, Drug discovery today.
[20] G. Superti-Furga,et al. An Integrated Chemical Biology Approach Identifies Specific Vulnerability of Ewing's Sarcoma to Combined Inhibition of Aurora Kinases A and B , 2011, Molecular Cancer Therapeutics.
[21] P. Robinson,et al. Walking the interactome for prioritization of candidate disease genes. , 2008, American journal of human genetics.
[22] A. Heimberger,et al. A novel small molecule inhibitor of signal transducers and activators of transcription 3 reverses immune tolerance in malignant glioma patients. , 2007, Cancer research.
[23] Péter Csermely,et al. The efficiency of multi-target drugs: the network approach might help drug design. , 2004, Trends in pharmacological sciences.
[24] A. Barabasi,et al. Drug—target network , 2007, Nature Biotechnology.
[25] Xiaodong Wang,et al. Diazonamide toxins reveal an unexpected function for ornithine δ-amino transferase in mitotic cell division , 2007, Proceedings of the National Academy of Sciences.
[26] G. Superti-Furga,et al. Target profiling of small molecules by chemical proteomics. , 2009, Nature chemical biology.
[27] Kenneth H. Buetow,et al. PID: the Pathway Interaction Database , 2008, Nucleic Acids Res..
[28] Sang J. Chung,et al. Identification of proteins binding to decursinol by chemical proteomics. , 2008, Journal of microbiology and biotechnology.
[29] B. Nare,et al. 2,4-Diaminopyrimidines as Potent Inhibitors of Trypanosoma brucei and Identification of Molecular Targets by a Chemical Proteomics Approach , 2011, PLoS neglected tropical diseases.
[30] Luana Licata,et al. Searching the MINT Database for Protein Interaction Information , 2003, Current protocols in bioinformatics.
[31] Patricia Rodriguez-Tomé,et al. MMsINC: a large-scale chemoinformatics database , 2008, Nucleic Acids Res..
[32] Gary D Bader,et al. NetPath: a public resource of curated signal transduction pathways , 2010, Genome Biology.
[33] P. Bork,et al. Proteome survey reveals modularity of the yeast cell machinery , 2006, Nature.
[34] Seth I. Berger,et al. Systems Pharmacology of Arrhythmias , 2010, Science Signaling.
[35] Yoshihiro Yamanishi,et al. KEGG for linking genomes to life and the environment , 2007, Nucleic Acids Res..
[36] Damian Szklarczyk,et al. STITCH 2: an interaction network database for small molecules and proteins , 2009, Nucleic Acids Res..
[37] G. Drewes,et al. Chemoproteomics-based design of potent LRRK2-selective lead compounds that attenuate Parkinson's disease-related toxicity in human neurons. , 2011, ACS chemical biology.
[38] Thomas Lengauer,et al. Improved scoring of functional groups from gene expression data by decorrelating GO graph structure , 2006, Bioinform..
[39] P. Grandi,et al. Chemoproteomics profiling of HDAC inhibitors reveals selective targeting of HDAC complexes , 2011, Nature Biotechnology.
[40] Bruce L. Booth,et al. Opinion: Prospects for productivity , 2004, Nature Reviews Drug Discovery.
[41] Weidong Zhang,et al. The inhibitory activities of the components of Huang-Lian-Jie-Du-Tang (HLJDT) on eicosanoid generation via lipoxygenase pathway. , 2011, Journal of ethnopharmacology.
[42] G. Superti-Furga,et al. Global target profile of the kinase inhibitor bosutinib in primary chronic myeloid leukemia cells , 2009, Leukemia.
[43] G. Superti-Furga,et al. Charting the molecular network of the drug target Bcr-Abl , 2009, Proceedings of the National Academy of Sciences.
[44] B. Cravatt,et al. Chemical Strategies for Functional Proteomics* , 2002, Molecular & Cellular Proteomics.
[45] Hyungwon Choi,et al. Significance Analysis of Spectral Count Data in Label-free Shotgun Proteomics*S , 2008, Molecular & Cellular Proteomics.
[46] Trey Ideker,et al. Cytoscape 2.8: new features for data integration and network visualization , 2010, Bioinform..
[47] M. Affolter,et al. Proteomics at the center of nutrigenomics: comprehensive molecular understanding of dietary health effects. , 2009, Nutrition.
[48] Aurélien Grosdidier,et al. SwissDock, a protein-small molecule docking web service based on EADock DSS , 2011, Nucleic Acids Res..
[49] Gerhard Dürnberger,et al. Chemical proteomic profiles of the BCR-ABL inhibitors imatinib, nilotinib, and dasatinib reveal novel kinase and nonkinase targets. , 2007, Blood.
[50] Peng Jiang,et al. Molecular networks for the study of TCM Pharmacology , 2010, Briefings Bioinform..
[51] S. Schreiber,et al. A receptor for the immuno-suppressant FK506 is a cis–trans peptidyl-prolyl isomerase , 1989, Nature.
[52] Ravi Iyengar,et al. Network analyses in systems pharmacology , 2009, Bioinform..
[53] Christoph Steinbeck,et al. Chemical Entities of Biological Interest: an update , 2009, Nucleic Acids Res..
[54] Andrew H. Thompson,et al. Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. , 2003, Analytical chemistry.
[55] Yoshiya Oda,et al. Quantitative chemical proteomics for identifying candidate drug targets. , 2003, Analytical chemistry.
[56] C. Anfinsen,et al. Selective enzyme purification by affinity chromatography. , 1968, Proceedings of the National Academy of Sciences of the United States of America.
[57] M. Mann,et al. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification , 2008, Nature Biotechnology.
[58] Akhilesh Pandey,et al. Human Protein Reference Database and Human Proteinpedia as discovery tools for systems biology. , 2009, Methods in molecular biology.
[59] Brett R. Murphy,et al. Chemical proteomics identifies Nampt as the target of CB30865, an orphan cytotoxic compound. , 2010, Chemistry & biology.
[60] J. Cox,et al. Proteomics strategy for quantitative protein interaction profiling in cell extracts , 2009, Nature Methods.
[61] Karl Mechtler,et al. General statistical modeling of data from protein relative expression isobaric tags. , 2011, Journal of proteome research.
[62] Zhi-xiang Shen,et al. Dissection of mechanisms of Chinese medicinal formula Realgar-Indigo naturalis as an effective treatment for promyelocytic leukemia , 2008, Proceedings of the National Academy of Sciences.
[63] G. Superti-Furga,et al. A comprehensive target selectivity survey of the BCR-ABL kinase inhibitor INNO-406 by kinase profiling and chemical proteomics in chronic myeloid leukemia cells , 2010, Leukemia.
[64] Florian P Breitwieser,et al. Acid elution and one-dimensional shotgun analysis on an Orbitrap mass spectrometer: an application to drug affinity chromatography. , 2009, Journal of proteome research.
[65] Matthew R. Laird,et al. Protein Protein Interaction Network Evaluation for Identifying Potential Drug Targets , 2009 .
[66] Linfeng Wu,et al. Role of spectral counting in quantitative proteomics , 2010, Expert review of proteomics.
[67] Giulio Superti-Furga,et al. A Computational Approach to Analyze the Mechanism of Action of the Kinase Inhibitor Bafetinib , 2010, PLoS Comput. Biol..
[68] R. Albert,et al. The large-scale organization of metabolic networks , 2000, Nature.
[69] M. Mann,et al. Global Effects of Kinase Inhibitors on Signaling Networks Revealed by Quantitative Phosphoproteomics , 2009, Molecular & Cellular Proteomics.
[70] B. Stockwell,et al. Multicomponent therapeutics for networked systems , 2005, Nature Reviews Drug Discovery.
[71] Bernhard Kuster,et al. Profiling Core Proteomes of Human Cell Lines by One-dimensional PAGE and Liquid Chromatography-Tandem Mass Spectrometry*S , 2003, Molecular & Cellular Proteomics.
[72] Calvin Yu-Chian Chen,et al. TCM Database@Taiwan: The World's Largest Traditional Chinese Medicine Database for Drug Screening In Silico , 2011, PloS one.
[73] Alexander R. Pico,et al. WikiPathways: Pathway Editing for the People , 2008, PLoS biology.
[74] David S. Wishart,et al. SMPDB: The Small Molecule Pathway Database , 2009, Nucleic Acids Res..
[75] F. Boisvert,et al. Identifying specific protein interaction partners using quantitative mass spectrometry and bead proteomes , 2008, The Journal of cell biology.
[76] T. Terada,et al. Design and synthesis of novel hydrophilic spacers for the reduction of nonspecific binding proteins on affinity resins. , 2004, Bioorganic & medicinal chemistry.
[77] Michael E Phelps,et al. Systems Biology and New Technologies Enable Predictive and Preventative Medicine , 2004, Science.
[78] Pooja Mittal,et al. A novel signaling pathway impact analysis , 2009, Bioinform..
[79] T. Barrette,et al. Probabilistic model of the human protein-protein interaction network , 2005, Nature Biotechnology.
[80] C. Coban,et al. TANK-binding kinase-1 delineates innate and adaptive immune responses to DNA vaccines , 2008, Nature.
[81] David S. Wishart,et al. DrugBank: a knowledgebase for drugs, drug actions and drug targets , 2007, Nucleic Acids Res..
[82] A I Saeed,et al. TM4: a free, open-source system for microarray data management and analysis. , 2003, BioTechniques.
[83] Brad T. Sherman,et al. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.
[84] Choong Yong Ung,et al. Are herb-pairs of traditional Chinese medicine distinguishable from others? Pattern analysis and artificial intelligence classification study of traditionally defined herbal properties. , 2007, Journal of ethnopharmacology.
[85] K. Parker,et al. Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents*S , 2004, Molecular & Cellular Proteomics.
[86] B. Cravatt,et al. Activity-based protein profiling: the serine hydrolases. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[87] M. Kussmann. Role of proteomics in nutrigenomics and nutrigenetics , 2009, Expert review of proteomics.
[88] M. Vidal,et al. Networking metabolites and diseases , 2008, Proceedings of the National Academy of Sciences.
[89] N. Gray,et al. In situ kinase profiling reveals functionally relevant properties of native kinases. , 2011, Chemistry & biology.
[90] Bin Fang,et al. A chemical and phosphoproteomic characterization of dasatinib action in lung cancer , 2010, Nature chemical biology.
[91] Mingming Jia,et al. COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer , 2009, Nucleic Acids Res..
[92] R. Aebersold,et al. Mass Spectrometry and Protein Analysis , 2006, Science.