Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations [PDF]
Scientific Reports 5, 10182 (2015), 2015 Network-based methods are playing an increasingly important role in drug design. Our main question in this paper was whether the efficiency of drug target proteins to spread perturbations in the human interactome is larger if the binding drugs have side effects, as compared to those which have no reported side effects.
arxiv +1 more source
Fixed drug eruption and anaphylaxis induced concurrently by erdosteine: a case report
Allergy, Asthma & Clinical Immunology, 2021 Background Erdosteine is used as a mucolytic agent and has a low incidence of adverse drug reactions, most of which are gastrointestinal and mild. Moreover, drug antigens rarely induce multiple simultaneous immunologic reactions.
Da Woon Sim, Ji Eun Yu, Young-Il Koh
doaj +1 more source
Precision Anti-Cancer Drug Selection via Neural Ranking [PDF]
arXiv, 2023 Personalized cancer treatment requires a thorough understanding of complex interactions between drugs and cancer cell lines in varying genetic and molecular contexts. To address this, high-throughput screening has been used to generate large-scale drug response data, facilitating data-driven computational models.
arxiv
A statistical analysis of drug seizures and opioid overdose deaths in Ohio from 2014 to 2018 [PDF]
Journal of Student Research, Volume 10, Issue 1, 2021This paper examines the association between police drug seizures and drug overdose deaths in Ohio from 2014 to 2018. We use linear regression, ARIMA models, and categorical data analysis to quantify the effect of drug seizure composition and weight on drug overdose deaths, to quantify the lag between drug seizures and overdose deaths, and to compare ...
arxiv +1 more source
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction [PDF]
arXiv, 2023 Relation-aware graph structure embedding is promising for predicting multi-relational drug-drug interactions (DDIs). Typically, most existing methods begin by constructing a multi-relational DDI graph and then learning relation-aware graph structure embeddings (RaGSEs) of drugs from the DDI graph.
arxiv
CongFu: Conditional Graph Fusion for Drug Synergy Prediction [PDF]
arXiv, 2023 Drug synergy, characterized by the amplified combined effect of multiple drugs, is critically important for optimizing therapeutic outcomes. Limited data on drug synergy, arising from the vast number of possible drug combinations and testing costs, motivate the need for predictive methods.
arxiv
Symmetrical Neck Swelling After Percutaneous Coronary Intervention
Acta Médica PortuguesaCervical edema after iodinated contrast media administration can raise the suspicion of a hypersensitivity reaction, but other diagnoses must be considered.
Liliana Pereira Dias +3 more
doaj +1 more source
World Allergy Organization Journal, 2010 A study was performed to assess the time between drug intake and drug induced hypersensitivity reaction for patients sensitive to nonsteroidal antiinflammatory drugs (NSAID) in clinical patient history and after oral provocation tests.
Giedre Grigiene, MD +2 more
doaj
Frequency of severe reactions following penicillin drug provocation tests: A Bayesian meta‐analysis
Clinical and Translational Allergy, 2021 Background Patients with a penicillin allergy label tend to have worse clinical outcomes and increased healthcare use. Drug provocation tests (DPT) are the gold‐standard in the diagnostic workup of penicillin allergy, but safety concerns may hinder their
António Cardoso‐Fernandes +8 more
doaj +1 more source
In silico identification of clinically approved medicines against the main protease of SARS-CoV-2, causative agent of covid-19 [PDF]
arXiv, 2020 The COVID-19 pandemic triggered by SARS-CoV-2 is a worldwide health disaster. Main protease is an attractive drug target among coronaviruses, due to its vital role in processing the polyproteins that are translated from the viral RNA. There is presently no exact drug or treatment for this diseases caused by SARS-CoV-2.
arxiv