Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources
暂无分享,去创建一个
Kalpana Raja | Matthew T. Patrick | Kevin He | Lam C. Tsoi | Redina Bardhi | Kalpana Raja | L. Tsoi | Kevin He | M. Patrick | R. Bardhi
[1] B. Stricker,et al. Hospitalisations and emergency department visits due to drug–drug interactions: a literature review , 2007, Pharmacoepidemiology and drug safety.
[2] Xiaohui Yao,et al. Mining and visualizing high-order directional drug interaction effects using the FAERS database , 2020, BMC Medical Informatics and Decision Making.
[3] Wen Zhang,et al. A multimodal deep learning framework for predicting drug-drug interaction events , 2020, Bioinform..
[4] M. Namazi,et al. The remarkable beneficial effect of adding oral simvastatin to topical betamethasone for treatment of psoriasis: a double-blind, randomized, placebo-controlled study. , 2010, Nigerian journal of medicine : journal of the National Association of Resident Doctors of Nigeria.
[5] David W Bates,et al. High-priority drug-drug interaction clinical decision support overrides in a newly implemented commercial computerized provider order-entry system: Override appropriateness and adverse drug events , 2020, J. Am. Medical Informatics Assoc..
[6] Joseph Hanlon,et al. Clinical consequences of polypharmacy in elderly , 2014, Expert opinion on drug safety.
[7] Li Wang,et al. A Modified Skip-Gram Algorithm for Extracting Drug-Drug Interactions from AERS Reports , 2020, Comput. Math. Methods Medicine.
[8] J. Koo,et al. Safety considerations with combination therapies for psoriasis , 2020, Expert opinion on drug safety.
[9] Jocelyn R. Wilder,et al. Changes in Prescription and Over-the-Counter Medication and Dietary Supplement Use Among Older Adults in the United States, 2005 vs 2011. , 2016, JAMA internal medicine.
[10] Lei Wang,et al. Translational High‐Dimensional Drug Interaction Discovery and Validation Using Health Record Databases and Pharmacokinetics Models , 2018, Clinical pharmacology and therapeutics.
[11] S. Vilar,et al. Detection of Drug-Drug Interactions by Modeling Interaction Profile Fingerprints , 2013, PloS one.
[12] R. Altman,et al. Informatics confronts drug-drug interactions. , 2013, Trends in pharmacological sciences.
[13] S. Wyke,et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study , 2012, The Lancet.
[14] Michael Schroeder,et al. SuperCYP: a comprehensive database on Cytochrome P450 enzymes including a tool for analysis of CYP-drug interactions , 2009, Nucleic Acids Res..
[15] George Hripcsak,et al. Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records , 2015, Drug Safety.
[16] Yow-Ming C Wang,et al. Biological Products for the Treatment of Psoriasis: Therapeutic Targets, Pharmacodynamics and Disease-Drug-Drug Interaction Implications , 2014, The AAPS Journal.
[17] Constantin F. Aliferis,et al. Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases , 2005, AMIA.
[18] H. Sletvold,et al. Potential drug-to-drug interactions: a cross-sectional study among older patients discharged from hospital to home care , 2018, Safety in Health.
[19] Hongkang Mei,et al. Systematic Prediction of Pharmacodynamic Drug-Drug Interactions through Protein-Protein-Interaction Network , 2013, PLoS Comput. Biol..
[20] Wu Yi Zheng,et al. Drug-drug interactions and their harmful effects in hospitalised patients: a systematic review and meta-analysis , 2017, European Journal of Clinical Pharmacology.
[21] Heng-Yi Wu,et al. Extraction of Pharmacokinetic Evidence of Drug–Drug Interactions from the Literature , 2014, PloS one.
[22] Russ B. Altman,et al. A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports , 2012, J. Am. Medical Informatics Assoc..
[23] P. Vollenweider,et al. Prevalence and determinants of polypharmacy in Switzerland: data from the CoLaus study , 2017, BMC Health Services Research.
[24] Jessica S. Ancker,et al. Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system , 2017, BMC Medical Informatics and Decision Making.
[25] Doheon Lee,et al. Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks , 2015, PloS one.
[26] B. Strober,et al. Characterization of disease burden, comorbidities, and treatment use in a large, US‐based cohort: Results from the Corrona Psoriasis Registry , 2018, Journal of the American Academy of Dermatology.
[27] Yan Tang,et al. Identifying Methamphetamine Dependence Using Regional Homogeneity in BOLD Signals , 2020, Comput. Math. Methods Medicine.
[28] Jinyan Li,et al. DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions , 2019, BMC Bioinformatics.
[29] J. Sundquist,et al. An Increasing Trend in the Prevalence of Polypharmacy in Sweden: A Nationwide Register-Based Study , 2020, Frontiers in Pharmacology.
[30] Jingcheng Du,et al. Gene2vec: distributed representation of genes based on co-expression , 2018, BMC Genomics.
[31] M. van den Akker,et al. Trends in multimorbidity and polypharmacy in the Flemish-Belgian population between 2000 and 2015 , 2019, PloS one.
[32] Nigam H. Shah,et al. Mining clinical text for signals of adverse drug-drug interactions , 2014, J. Am. Medical Informatics Assoc..
[34] L. Køber,et al. Trends in warfarin use and its associations with thromboembolic and bleeding rates in a population with atrial fibrillation between 1996 and 2011 , 2018, PloS one.
[35] Jae Yong Ryu,et al. Deep learning improves prediction of drug–drug and drug–food interactions , 2018, Proceedings of the National Academy of Sciences.
[36] E. Hak,et al. Trends in polypharmacy and dispensed drugs among adults in the Netherlands as compared to the United States , 2019, PloS one.
[37] T. Ohkusa,et al. Treatment of functional dyspepsia with antianxiety or antidepressive agents: systematic review , 2005, Journal of Gastroenterology.
[38] B. Patel,et al. Topical corticosteroid compounding: effects on physicochemical stability and skin penetration rate. , 1989, Journal of the American Academy of Dermatology.
[39] Patrick M. Wilson,et al. Neighborhood socioeconomic disadvantage is associated with multimorbidity in a geographically-defined community , 2020, BMC Public Health.
[40] V. Shirinsky,et al. Efficacy of simvastatin in plaque psoriasis: A pilot study. , 2007, Journal of the American Academy of Dermatology.
[41] E. Weirich. Dermatopharmacology of salicylic acid. I. Range of dermatotherapeutic effects of salicylic acid. , 1975, Dermatologica.
[42] David S. Wishart,et al. DrugBank 5.0: a major update to the DrugBank database for 2018 , 2017, Nucleic Acids Res..
[43] Reza Safdari,et al. Computational prediction of drug-drug interactions based on drugs functional similarities , 2017, J. Biomed. Informatics.
[44] Elizabeth J Horn,et al. National Psoriasis Foundation clinical consensus on psoriasis comorbidities and recommendations for screening. , 2008, Journal of the American Academy of Dermatology.
[45] L. Wienkers,et al. Predicting in vivo drug interactions from in vitro drug discovery data , 2005, Nature Reviews Drug Discovery.
[46] Lang Li,et al. Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database , 2018, IEEE Journal of Biomedical and Health Informatics.
[47] M. Lebwohl,et al. Psoriasis: Which therapy for which patient: Psoriasis comorbidities and preferred systemic agents. , 2019, Journal of the American Academy of Dermatology.
[48] L. Di,et al. In Vitro and In Vivo Methods to Assess Pharmacokinetic Drug-Drug Interactions in Drug Discovery and Development. , 2019, Biopharmaceutics & drug disposition.
[49] Supinya Dechanont,et al. Hospital admissions/visits associated with drug–drug interactions: a systematic review and meta‐analysis , 2014, Pharmacoepidemiology and drug safety.
[50] Yi-Cheng Tu,et al. Characterization of the mechanism of drug-drug interactions from PubMed using MeSH terms , 2017, PloS one.
[51] Weihua Yuan,et al. Adverse Drug Reaction Predictions Using Stacking Deep Heterogeneous Information Network Embedding Approach , 2018, Molecules.
[52] Bruce Guthrie,et al. The rising tide of polypharmacy and drug-drug interactions: population database analysis 1995–2010 , 2015, BMC Medicine.
[53] Olivier Bodenreider,et al. The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..
[54] A. Barabasi,et al. Drug—target network , 2007, Nature Biotechnology.
[55] R. Day,et al. Life‐threatening drug interactions: what the physician needs to know , 2017, Internal medicine journal.
[56] Thang Nguyen Tat,et al. Efficacy of Adding Oral Simvastatin to Topical Therapy for Treatment of Psoriasis: The Vietnamese Experience , 2019, Open access Macedonian journal of medical sciences.
[57] D. Haggstrom,et al. Polypharmacy and patterns of prescription medication use among cancer survivors , 2018, Cancer.
[58] L. Rybak. Furosemide ototoxicity: Clinical and experimental aspects , 1985, The Laryngoscope.
[59] Paloma Martínez,et al. The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions , 2013, J. Biomed. Informatics.
[60] Kalpana Raja,et al. Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning Approach. , 2019, The Journal of investigative dermatology.
[61] Michel Dumontier,et al. Toward a complete dataset of drug-drug interaction information from publicly available sources , 2015, J. Biomed. Informatics.