about
Data-driven prediction of drug effects and interactionsA curated and standardized adverse drug event resource to accelerate drug safety researchToward a complete dataset of drug-drug interaction information from publicly available sourcesInvestigation of 7-dehydrocholesterol reductase pathway to elucidate off-target prenatal effects of pharmaceuticals: a systematic reviewDetection of drug-drug interactions by modeling interaction profile fingerprintsGenome wide analysis of drug-induced torsades de pointes: lack of common variants with large effect sizesImproving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based ModelingConnectivity Homology Enables Inter-Species Network Models of Synthetic LethalitySimilarity-based modeling in large-scale prediction of drug-drug interactionsTen Simple Rules to Enable Multi-site Collaborations through Data SharingBirth month affects lifetime disease risk: a phenome-wide methodSTORMSeq: an open-source, user-friendly pipeline for processing personal genomics data in the cloud.An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval.Pharmacological inhibition of cystine-glutamate exchange induces endoplasmic reticulum stress and ferroptosisImproving condition severity classification with an efficient active learning based frameworkBridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.An integrative method for scoring candidate genes from association studies: application to warfarin dosing.Stimulated reporting: the impact of US food and drug administration-issued alerts on the adverse event reporting system (FAERS)Similarity-based modeling applied to signal detection in pharmacovigilance.Disease risk factors identified through shared genetic architecture and electronic medical recordsSystems pharmacology augments drug safety surveillanceCoherent functional modules improve transcription factor target identification, cooperativity prediction, and disease association3D pharmacophoric similarity improves multi adverse drug event identification in pharmacovigilance.Cooperative transcription factor associations discovered using regulatory variationDevelopment and validation of a classification approach for extracting severity automatically from electronic health recordsDetecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels.A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reportsVenomKB, a new knowledge base for facilitating the validation of putative venom therapiesMapping the effects of drugs on the immune system.Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms.A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors.Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study.The Weber effect and the United States Food and Drug Administration's Adverse Event Reporting System (FAERS): analysis of sixty-two drugs approved from 2006 to 2010.High-throughput methods for combinatorial drug discovery.Synthesis, pharmacological study and docking calculations of new benzo[f]coumarin derivatives as dual inhibitors of enzymatic systems involved in neurodegenerative diseases.Web-scale pharmacovigilance: listening to signals from the crowd.Response to 'Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports' by Gooden et al.Novel (coumarin-3-yl)carbamates as selective MAO-B inhibitors: synthesis, in vitro and in vivo assays, theoretical evaluation of ADME properties and docking study.Insight into the interactions between novel coumarin derivatives and human A3 adenosine receptors.VenomKB v2.0: A knowledge repository for computational toxinology
P50
Q24599300-8D96DB28-F99E-4DBF-869C-6AABF77359CBQ24658583-BB524E74-9563-4293-AA81-BDD4D1891389Q26896954-5C8566E3-DCF3-4B32-8116-06E541524259Q28078252-C4914E61-1D50-4DD5-A785-ECA7964FDD31Q28487875-6451547D-88B7-4365-A4F1-AF77DD6DD568Q28534878-C28D05DE-AF66-4863-9046-75F40758E253Q28548219-F2542FB3-3E00-4C74-9D1F-D35578FDC4BBQ28550178-16762766-3697-4A5C-9D94-338FA46AA8F7Q28647954-F9A2AE14-12B1-42D8-A20D-02ADE1268AD1Q28974676-D3711455-61AE-422B-9898-CFF1ADD4F317Q30375296-78927EAA-8AA8-4191-BFCD-09871143BDFDQ30486640-72154876-4B0D-4100-908D-F8A657012A55Q31043880-3A0B14DC-B286-4EE7-B03E-F5A9157E2949Q33745283-999CCC40-7854-4ACE-BF72-F361EC1A2DDEQ33841829-3A242F02-AF8A-4E45-AB98-0E13ED51D8D7Q34051886-FC6D39DF-E188-4D37-A26C-C790134F232FQ34147587-D6881C0B-73FF-4BF0-88B6-CC0F72006879Q34389980-56FE6056-F3D4-4B0C-90FD-3C76CC3F1003Q34413023-F0432EE2-F4F8-40AE-A37E-8FDAF2C7974FQ34418291-7F022C54-EB58-46C0-AF13-71BA4F685163Q35075939-D3AEE4B4-3BFF-41BF-B715-C215171F1D53Q35091271-E3E59806-4B55-487E-9AB3-D67FF9A138A2Q35153278-A7AECF07-4DB1-462C-AE02-B40EC21EBD37Q35164635-86772F30-A567-4836-B2E4-967C6F916E69Q35276375-9AD00206-577F-4426-92AC-771155B2965CQ35551787-724D26DE-A2B3-4E5F-9081-5BA4E11CAEA5Q35619067-C314328E-E6C5-4196-BBCE-15EC34BA23C6Q36316737-F675EF48-7509-443E-AC52-64D33AD7E4A1Q36446799-121209A9-80F3-4160-9B17-C0D423C2C4F8Q36599215-F69F6B99-FDD7-4D1A-BF8F-6EFCFFAC9AA5Q37016134-EF8D1879-72D5-49A9-B8EE-25D61F39173DQ37138272-02966F85-87FF-458D-BEB1-D69D76816661Q37683523-75ABCC98-D5C5-409E-BDA2-2C6E93577680Q38148743-052D0BFE-5778-49B2-A10F-DFBABDDC2BBCQ39229873-3074A9E4-7CB5-483F-9241-C1FA5C591E73Q39888043-EEFCFAA1-B828-4CB9-BCD2-29BF24C0728BQ43194240-62128D69-7DD2-4741-8D04-3BDE37FAF80AQ45187523-1F34E0CC-F430-4520-B3CD-CB7A7069D1AEQ54109348-DCEB496B-C7D1-482E-905A-E72AA5EFB3CDQ57201419-298D5A5B-FC53-42A6-858C-C908862C0F1D
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Nicholas P Tatonetti
@nl
Nicholas P Tatonetti
@sl
Nicholas P. Tatonetti
@en
Nicholas P. Tatonetti
@es
type
label
Nicholas P Tatonetti
@nl
Nicholas P Tatonetti
@sl
Nicholas P. Tatonetti
@en
Nicholas P. Tatonetti
@es
prefLabel
Nicholas P Tatonetti
@nl
Nicholas P Tatonetti
@sl
Nicholas P. Tatonetti
@en
Nicholas P. Tatonetti
@es
P106
P1153
35604787200
P21
P2456
P31
P496
0000-0002-2700-2597