Challenges and lessons learned from clinical pharmacogenetic implementation of multiple gene–drug pairs across ambulatory care settings
Sign Up to like & getrecommendations! Published in 2019 at "Genetics in Medicine"
DOI: 10.1038/s41436-019-0500-7
Abstract: PurposeIncorporating a patient’s genotype into the clinical decision-making process is one approach to precision medicine. The University of Florida (UF) Health Precision Medicine Program is a pharmacist-led multidisciplinary effort that has led the clinical implementation… read more here.
Keywords: medicine; implementation; drug pairs; gene drug ... See more keywords
In silico profiling of systemic effects of drugs to predict unexpected interactions
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-19614-5
Abstract: Identifying unexpected drug interactions is an essential step in drug development. Most studies focus on predicting whether a drug pair interacts or is effective on a certain disease without considering the mechanism of action (MoA).… read more here.
Keywords: profiling systemic; drug interactions; systemic effects; effects drugs ... See more keywords
Exploring the potential for using drug indications to prevent look-alike and sound-alike drug errors
Sign Up to like & getrecommendations! Published in 2017 at "Expert Opinion on Drug Safety"
DOI: 10.1080/14740338.2017.1358361
Abstract: ABSTRACT Background: Look-alike, sound-alike (LASA) drug names are a cause of medication errors with resulting patient harm and healthcare costs. This study assessed to which extent the use of the generic drug name, therapeutic class,… read more here.
Keywords: sound alike; alike sound; lasa drug; drug pairs ... See more keywords
Compatibility of Evolutionary Responses to Constituent Antibiotics Drive Resistance Evolution to Drug Pairs
Sign Up to like & getrecommendations! Published in 2021 at "Molecular Biology and Evolution"
DOI: 10.1093/molbev/msab006
Abstract: Abstract Antibiotic combinations are considered a relevant strategy to tackle the global antibiotic resistance crisis since they are believed to increase treatment efficacy and reduce resistance evolution (WHO treatment guidelines for drug-resistant tuberculosis: 2016 update.).… read more here.
Keywords: evolution; evolutionary responses; drug pairs; resistance ... See more keywords
Distinguish the Characteristic Mechanism of 3 Drug Pairs of Corydalis Rhizome in Ameliorating Angina Pectoris: Network Pharmacology and Meta-Analysis
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DOI: 10.1177/1934578x231152309
Abstract: Objective: Angina pectoris (AP), affecting over 523 million people, can be alleviated by corydalis rhizome (CR), usually combined with chuanxiong rhizome (CXR), angelica dahuricae radix (ADR), or astragali radix (AR) to enhance the effect. This… read more here.
Keywords: network; meta analysis; pharmacology; drug pairs ... See more keywords
Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1546-7
Abstract: BackgroundInvestigating and understanding drug-drug interactions (DDIs) is important in improving the effectiveness of clinical care. DDIs can occur when two or more drugs are administered together. Experimentally based DDI detection methods require a large cost… read more here.
Keywords: ddis; drug interactions; drug pairs; positive unlabeled ... See more keywords
Predicting tumor cell line response to drug pairs with deep learning
Sign Up to like & getrecommendations! Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2509-3
Abstract: BackgroundThe National Cancer Institute drug pair screening effort against 60 well-characterized human tumor cell lines (NCI-60) presents an unprecedented resource for modeling combinational drug activity.ResultsWe present a computational model for predicting cell line response to… read more here.
Keywords: cell line; response; drug pairs; drug ... See more keywords
Detecting Drug-Drug Interactions in COVID-19 Patients
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220090
Abstract: COVID-19 patients with multiple comorbid illnesses are more likely to be using polypharmacy to treat their COVID-19 disease and comorbid conditions. Previous literature identified several DDIs in COVID-19 patients; however, various DDIs are unrecognized. This… read more here.
Keywords: detecting drug; covid patients; drug interactions; drug drug ... See more keywords
BOW-GBDT: A GBDT Classifier Combining With Artificial Neural Network for Identifying GPCR–Drug Interaction Based on Wordbook Learning From Sequences
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Cell and Developmental Biology"
DOI: 10.3389/fcell.2020.623858
Abstract: Background: As a class of membrane protein receptors, G protein-coupled receptors (GPCRs) are very important for cells to complete normal life function and have been proven to be a major drug target for widespread clinical… read more here.
Keywords: gpcr drug; drug pairs; bow gbdt; drug ... See more keywords