Results 61 to 70 of about 9,974,913 (281)

A network inference method for large-scale unsupervised identification of novel drug-drug interactions [PDF]

open access: yesPLoS Comput Biol 9(12): e1003374 (2013), 2014
Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others. Here we present a network inference algorithm to predict uncharacterized drug-drug interactions.
arxiv   +1 more source

A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions

open access: yesNature Communications, 2017
Assessment of pharmacodynamic (PD) drug interactions is a cornerstone of the development of combination drug therapies. To guide this venture, we derive a general pharmacodynamic interaction (GPDI) model for ≥2 interacting drugs that is compatible with ...
S. Wicha   +3 more
semanticscholar   +1 more source

Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction [PDF]

open access: yesarXiv, 2023
Identifying and discovering drug-target interactions(DTIs) are vital steps in drug discovery and development. They play a crucial role in assisting scientists in finding new drugs and accelerating the drug development process. Recently, knowledge graph and knowledge graph embedding (KGE) models have made rapid advancements and demonstrated impressive ...
arxiv  

DDI Prediction via Heterogeneous Graph Attention Networks [PDF]

open access: yesarXiv, 2022
Polypharmacy, defined as the use of multiple drugs together, is a standard treatment method, especially for severe and chronic diseases. However, using multiple drugs together may cause interactions between drugs. Drug-drug interaction (DDI) is the activity that occurs when the impact of one drug changes when combined with another.
arxiv  

Magnitude of Drug–Drug Interactions in Special Populations

open access: yesPharmaceutics, 2022
Drug–drug interactions (DDIs) are one of the most frequent causes of adverse drug reactions or loss of treatment efficacy. The risk of DDIs increases with polypharmacy and is therefore of particular concern in individuals likely to present comorbidities (
Sara Bettonte   +2 more
doaj   +1 more source

Drug-target affinity prediction method based on consistent expression of heterogeneous data [PDF]

open access: yesarXiv, 2022
The first step in drug discovery is finding drug molecule moieties with medicinal activity against specific targets. Therefore, it is crucial to investigate the interaction between drug-target proteins and small chemical molecules. However, traditional experimental methods for discovering potential small drug molecules are labor-intensive and time ...
arxiv  

NOACs: drug–drug interactions [PDF]

open access: yesCanadian Medical Association Journal, 2016
We commend Fralick and colleagues for their article on drug interactions with rivaroxaban.[1][1] All novel oral anticoagulants (NOACs) were introduced as at least noninferior (in some cases superior) to warfarin.
Mariusz Gasior   +2 more
openaire   +2 more sources

Aprepitant and fosaprepitant drug interactions: a systematic review

open access: yesBritish Journal of Clinical Pharmacology, 2017
AIMS Aprepitant and fosaprepitant, commonly used for the prevention of chemotherapy-induced nausea and vomiting, alter cytochrome P450 activity. This systematic review evaluates clinically significant pharmacokinetic drug interactions with aprepitant and
P. Patel   +3 more
semanticscholar   +1 more source

Spectrum and Degree of CDK Drug Interactions Predicts Clinical Performance

open access: yesMolecular Cancer Therapeutics, 2016
Therapeutically targeting aberrant intracellular kinase signaling is attractive from a biological perspective but drug development is often hindered by toxicities and inadequate efficacy.
Ping Chen   +13 more
semanticscholar   +1 more source

Drug interactions in epilepsy

open access: yesArquivos de Neuro-Psiquiatria, 1980
Interactions with antiepileptic drugs are common and may have important clinical consequences. The physician should always consider carefully the need for and the implications of adding a new drug to any therapeutic regime and should be prepared to think
Emilio Perucca
doaj   +1 more source

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