Analysis of chemical and biological features yields mechanistic insights into drug side effects.
暂无分享,去创建一个
[1] Tudor I. Oprea,et al. Chemography: the Art of Navigating in Chemical Space , 2000 .
[2] Jean YH Yang,et al. Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.
[3] Scott Boyer,et al. Correction: Automatic Filtering and Substantiation of Drug Safety Signals , 2012, PLoS Computational Biology.
[4] P. Aloy,et al. Interactome mapping suggests new mechanistic details underlying Alzheimer's disease. , 2011, Genome research.
[5] L. Becquemont,et al. Pharmacogenomics of adverse drug reactions: practical applications and perspectives. , 2009, Pharmacogenomics.
[6] Peter Ertl,et al. Mining for Bioactive Scaffolds with Scaffold Networks: Improved Compound Set Enrichment from Primary Screening Data , 2011, J. Chem. Inf. Model..
[7] Scott Boyer,et al. Ligand-Based Approach to In Silico Pharmacology: Nuclear Receptor Profiling , 2006, J. Chem. Inf. Model..
[8] W. Arnold,et al. Xanthopsia and van Gogh's yellow palette , 1991, Eye.
[9] Stefan Wetzel,et al. Interactive exploration of chemical space with Scaffold Hunter. , 2009, Nature chemical biology.
[10] R. Sharan,et al. PREDICT: a method for inferring novel drug indications with application to personalized medicine , 2011, Molecular systems biology.
[11] F. Nantel,et al. Bradykinin B1 receptor antagonist R954 inhibits eosinophil activation/proliferation/migration and increases TGF-β and VEGF in a murine model of asthma , 2010, Neuropeptides.
[12] A. Fura,et al. Role of pharmacologically active metabolites in drug discovery and development. , 2006, Drug discovery today.
[13] P. Bork,et al. Drug Target Identification Using Side-Effect Similarity , 2008, Science.
[14] Daphne Koller,et al. Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action , 2010, Genome Biology.
[15] Doheon Lee,et al. Building the process-drug–side effect network to discover the relationship between biological Processes and side effects , 2011, BMC Bioinformatics.
[16] João D. Ferreira,et al. Semantic Similarity for Automatic Classification of Chemical Compounds , 2010, PLoS Comput. Biol..
[17] Chris Morley,et al. Open Babel: An open chemical toolbox , 2011, J. Cheminformatics.
[18] P. Holzer. Opioid receptors in the gastrointestinal tract , 2009, Regulatory Peptides.
[19] R. Solé,et al. Data completeness—the Achilles heel of drug-target networks , 2008, Nature Biotechnology.
[20] J. Gies,et al. Kinins and respiratory tract diseases. , 1993, The European respiratory journal.
[21] Azeem Majeed,et al. Ten-year trends in hospital admissions for adverse drug reactions in England 1999–2009 , 2010, Journal of the Royal Society of Medicine.
[22] Yoshihiro Yamanishi,et al. Predicting drug side-effect profiles: a chemical fragment-based approach , 2011, BMC Bioinformatics.
[23] R. Altman,et al. Data-Driven Prediction of Drug Effects and Interactions , 2012, Science Translational Medicine.
[24] Thomas C. Wiegers,et al. The Comparative Toxicogenomics Database: update 2011 , 2010, Nucleic Acids Res..
[25] Tudor I. Oprea,et al. iPHACE: integrative navigation in pharmacological space , 2010, Bioinform..
[26] Damian Szklarczyk,et al. STITCH 3: zooming in on protein–chemical interactions , 2011, Nucleic Acids Res..
[27] Michael J. Keiser,et al. Relating protein pharmacology by ligand chemistry , 2007, Nature Biotechnology.
[28] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[29] Christoph Steinbeck,et al. Chemical Entities of Biological Interest: an update , 2009, Nucleic Acids Res..
[30] D. Gurwitz,et al. 'Drug reactions, enzymes, and biochemical genetics': 50 years later. , 2007, Pharmacogenomics.
[31] J. Clayton-Smith,et al. Xq28 duplication presenting with intestinal and bladder dysfunction and a distinctive facial appearance , 2009, European Journal of Human Genetics.
[32] Seth I. Berger,et al. Role of systems pharmacology in understanding drug adverse events , 2011, Wiley interdisciplinary reviews. Systems biology and medicine.
[33] Thomas C. Wiegers,et al. The Comparative Toxicogenomics Database: update 2013 , 2012, Nucleic Acids Res..
[34] Michael J. Keiser,et al. Predicting new molecular targets for known drugs , 2009, Nature.
[35] A. Bender,et al. Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure , 2007, ChemMedChem.
[36] Phillip W. Lord,et al. Semantic Similarity in Biomedical Ontologies , 2009, PLoS Comput. Biol..
[37] Ben Y. Reis,et al. Predicting Adverse Drug Events Using Pharmacological Network Models , 2011, Science Translational Medicine.
[38] J. Wallace,et al. Matrix metalloproteinase processing of monocyte chemoattractant proteins generates CC chemokine receptor antagonists with anti-inflammatory properties in vivo. , 2002, Blood.
[39] Thomas Lengauer,et al. Improved scoring of functional groups from gene expression data by decorrelating GO graph structure , 2006, Bioinform..
[40] G. Román,et al. Disorders of neuromuscular transmission due to natural environmental toxins , 1992, Journal of the Neurological Sciences.
[41] R. Krauss,et al. When good drugs go bad , 2007, Nature.
[42] Navdeep Jaitly,et al. A Structure-Based Approach for Mapping Adverse Drug Reactions to the Perturbation of Underlying Biological Pathways , 2010, PloS one.
[43] A. Vedani,et al. VirtualToxLab - a platform for estimating the toxic potential of drugs, chemicals and natural products. , 2012, Toxicology and applied pharmacology.
[44] David S. Wishart,et al. DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs , 2010, Nucleic Acids Res..
[45] P. Bork,et al. A side effect resource to capture phenotypic effects of drugs , 2010, Molecular systems biology.
[46] P. Goldman-Rakic,et al. Dopamine D2 and D3 receptors are linked to the actin cytoskeleton via interaction with filamin A , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[47] Dominic P. Williams,et al. Idiosyncratic toxicity: the role of toxicophores and bioactivation. , 2003, Drug discovery today.
[48] J. Sosna,et al. Raloxifene attenuates Gas6 and apoptosis in experimental aortic valve disease in renal failure. , 2011, American journal of physiology. Heart and circulatory physiology.
[49] Relevance of animal models to human tardive dyskinesia , 2012, Behavioral and Brain Functions.
[50] P. Angel,et al. The catalytic domain of activated collagenase I (MMP-1) is absolutely required for interaction with its specific inhibitor, tissue inhibitor of metalloproteinases-1 (TIMP-1). , 1997, European journal of biochemistry.
[51] B. Tune,et al. Mechanisms of cephalosporin nephrotoxicity: a comparison of cephaloridine and cephaloglycin. , 1980, Kidney international.
[52] 中尾 光輝,et al. KEGG(Kyoto Encyclopedia of Genes and Genomes)〔和文〕 (特集 ゲノム医学の現在と未来--基礎と臨床) -- (データベース) , 2000 .
[53] G. Bemis,et al. The properties of known drugs. 1. Molecular frameworks. , 1996, Journal of medicinal chemistry.
[54] Michael J. Keiser,et al. Large Scale Prediction and Testing of Drug Activity on Side-Effect Targets , 2012, Nature.
[55] M. Milik,et al. Mapping adverse drug reactions in chemical space. , 2009, Journal of medicinal chemistry.