The ChEMBL database in 2017
暂无分享,去创建一个
George Papadatos | Andrew R. Leach | Prudence Mutowo-Meullenet | John P. Overington | Mark Davies | Anne Hersey | Anna Gaulton | Louisa J. Bellis | A. Patrícia Bento | Anneli Karlsson | David Mendez | Nathan Dedman | Jon Chambers | María P. Magariños | Michal Nowotka | Francis Atkinson | Elena Cibrián-Uhalte | Ines Smit | A. Leach | A. Hersey | Ines Smit | A. Gaulton | Francis Atkinson | G. Papadatos | A. P. Bento | M. Magariños | M. Davies | Anneli Karlsson | Elena Cibrián-Uhalte | L. Bellis | Jon Chambers | Prudence Mutowo-Meullenet | Nathan Dedman | David Mendez | M. Nowotka | M. P. Magariños
[1] Chris Morley,et al. Open Babel: An open chemical toolbox , 2011, J. Cheminformatics.
[2] Prudence Mutowo-Meullenet,et al. A drug target slim: using gene ontology and gene ontology annotations to navigate protein-ligand target space in ChEMBL , 2016, Journal of Biomedical Semantics.
[3] Narayanan Eswar,et al. A Kernel for Open Source Drug Discovery in Tropical Diseases , 2009, PLoS neglected tropical diseases.
[4] Ubbo Visser,et al. BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results , 2011, BMC Bioinformatics.
[5] George Papadatos,et al. Activity, assay and target data curation and quality in the ChEMBL database , 2015, Journal of Computer-Aided Molecular Design.
[6] Rajarshi Guha,et al. Pharos: Collating protein information to shed light on the druggable genome , 2016, Nucleic Acids Res..
[7] Milton H. Saier,et al. The Transporter Classification Database (TCDB): recent advances , 2015, Nucleic Acids Res..
[8] George Papadatos,et al. ChEMBL web services: streamlining access to drug discovery data and utilities , 2015, Nucleic Acids Res..
[9] S. Ceccarelli,et al. Carnitine palmitoyltransferase (CPT) modulators: a medicinal chemistry perspective on 35 years of research. , 2011, Journal of medicinal chemistry.
[10] Paul Morgan,et al. Can the flow of medicines be improved? Fundamental pharmacokinetic and pharmacological principles toward improving Phase II survival. , 2012, Drug discovery today.
[11] Jeremy N. Burrows,et al. The Open Access Malaria Box: A Drug Discovery Catalyst for Neglected Diseases , 2013, PloS one.
[12] Johann Gasteiger,et al. Self-organizing maps for identification of new inhibitors of P-glycoprotein. , 2007, Journal of medicinal chemistry.
[13] M. Pangalos,et al. Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework , 2014, Nature Reviews Drug Discovery.
[14] James R. Brown,et al. Thousands of chemical starting points for antimalarial lead identification , 2010, Nature.
[15] Organización Mundial de la Salud. Guidelines for ATC classification and DDD assignment , 1996 .
[16] K. Hornbuckle,et al. Evaluation of the Characteristics of Safety Withdrawal of Prescription Drugs from Worldwide Pharmaceutical Markets-1960 to 1999 , 2001 .
[17] Brian Hudson,et al. Strategic Pooling of Compounds for High-Throughput Screening , 1999, J. Chem. Inf. Comput. Sci..
[18] George Papadatos,et al. A large-scale crop protection bioassay data set , 2015, Scientific Data.
[19] E. Turner,et al. How to access and process FDA drug approval packages for use in research , 2013, BMJ.
[20] G. Hong,et al. Nucleic Acids Research , 2015, Nucleic Acids Research.
[21] D. Sall,et al. Modern phenotypic drug discovery is a viable, neoclassic pharma strategy. , 2012, Journal of medicinal chemistry.
[22] George Papadatos,et al. MyChEMBL: A Virtual Platform for Distributing Cheminformatics Tools and Open Data , 2014, Challenges.
[23] L. Lasagna,et al. Drug safety discontinuations in the United Kingdom, the United States, and Spain from 1974 through 1993: A regulatory perspective , 1995, Clinical pharmacology and therapeutics.
[24] Andrew C. Good,et al. An Empirical Process for the Design of High-Throughput Screening Deck Filters , 2006, J. Chem. Inf. Model..
[25] George Papadatos,et al. SureChEMBL: a large-scale, chemically annotated patent document database , 2015, Nucleic Acids Res..
[26] Yue Liu,et al. CLO: The cell line ontology , 2014, Journal of Biomedical Semantics.
[27] M. Bunnage. Getting pharmaceutical R&D back on target. , 2011, Nature chemical biology.
[28] S. Lewis,et al. Uberon, an integrative multi-species anatomy ontology , 2012, Genome Biology.
[29] George Papadatos,et al. UniChem: extension of InChI-based compound mapping to salt, connectivity and stereochemistry layers , 2014, Journal of Cheminformatics.
[30] Michael K. Gilson,et al. BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacology , 2015, Nucleic Acids Res..
[31] Barend Mons,et al. Open PHACTS: semantic interoperability for drug discovery. , 2012, Drug discovery today.
[32] Robert Preissner,et al. WITHDRAWN—a resource for withdrawn and discontinued drugs , 2015, Nucleic Acids Res..
[33] Yanli Wang,et al. PubChem BioAssay: 2017 update , 2016, Nucleic Acids Res..
[34] James F Blake,et al. Identification and evaluation of molecular properties related to preclinical optimization and clinical fate. , 2005, Medicinal chemistry (Shariqah (United Arab Emirates)).
[35] Anna Zhukova,et al. Modeling sample variables with an Experimental Factor Ontology , 2010, Bioinform..
[36] Michael Hay,et al. Clinical development success rates for investigational drugs , 2014, Nature Biotechnology.
[37] Antje Chang,et al. The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources , 2010, Nucleic Acids Res..
[38] George Papadatos,et al. The ChEMBL bioactivity database: an update , 2013, Nucleic Acids Res..
[39] R. M. Owen,et al. An analysis of the attrition of drug candidates from four major pharmaceutical companies , 2015, Nature Reviews Drug Discovery.
[40] Daniel James,et al. Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases , 2007, ChemMedChem.
[41] John P. Overington,et al. ChEMBL: a large-scale bioactivity database for drug discovery , 2011, Nucleic Acids Res..
[42] S. Szeinbach,et al. Market withdrawal of new molecular entities approved in the United States from 1980 to 2009 , 2011, Pharmacoepidemiology and drug safety.
[43] J. Baell,et al. New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays. , 2010, Journal of medicinal chemistry.
[44] Paul N. Schofield,et al. The Units Ontology: a tool for integrating units of measurement in science , 2012, Database J. Biol. Databases Curation.
[45] Igor V. Filippov,et al. Optical Structure Recognition Software To Recover Chemical Information: OSRA, An Open Source Solution , 2009, J. Chem. Inf. Model..
[46] José Luís Oliveira,et al. BeCAS: biomedical concept recognition services and visualization , 2013, Bioinform..
[47] I. Kola,et al. Can the pharmaceutical industry reduce attrition rates? , 2004, Nature Reviews Drug Discovery.
[48] D. Dalvie,et al. Cytochrome P450 and Non–Cytochrome P450 Oxidative Metabolism: Contributions to the Pharmacokinetics, Safety, and Efficacy of Xenobiotics , 2016, Drug Metabolism and Disposition.
[49] Martin Romacker,et al. Evolving BioAssay Ontology (BAO): modularization, integration and applications , 2014, Journal of Biomedical Semantics.
[50] Matthieu Schapira,et al. ChromoHub V 2 : cancer genomics , 2014 .
[51] Ernesto Callegari,et al. A comprehensive listing of bioactivation pathways of organic functional groups. , 2005, Current drug metabolism.
[52] Gautier Koscielny,et al. Open Targets: a platform for therapeutic target identification and validation , 2016, Nucleic Acids Res..
[53] J. Arrowsmith,et al. Trial Watch: Phase II and Phase III attrition rates 2011–2012 , 2013, Nature Reviews Drug Discovery.
[54] Amar Koleti,et al. Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS) , 2014, Journal of biomolecular screening.
[55] Jean-Robert Ioset,et al. Drugs for Neglected Diseases initiative model of drug development for neglected diseases: current status and future challenges. , 2011, Future medicinal chemistry.
[56] Joanna L. Sharman,et al. The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands , 2015, Nucleic Acids Res..
[57] George Papadatos,et al. myChEMBL: a virtual machine implementation of open data and cheminformatics tools , 2014, Bioinform..
[58] Lihua Liu,et al. ChromoHub V2: cancer genomics , 2014, Bioinform..