Results 11 to 20 of about 6,612,897 (317)
PLoS Comput. Biol., 2023 Expressive molecular representation plays critical roles in researching drug design, while effective methods are beneficial to learning molecular representations and solving related problems in drug discovery, especially for drug-drug interactions (DDIs)
Mei Ma, Xiu-juan Lei
semanticscholar +1 more source
Clinical pharmacology and therapy, 2022 The coronavirus disease 2019 (COVID‐19) antiviral nirmatrelvir/ritonavir (Paxlovid) has been granted authorization or approval in several countries for the treatment of patients with mild to moderate COVID‐19 at high risk of progression to severe disease
C. Marzolini +11 more
semanticscholar +1 more source
Predicting drug-target interactions using drug-drug interactions. [PDF]
PLoS ONE, 2013 Computational methods for predicting drug-target interactions have become important in drug research because they can help to reduce the time, cost, and failure rates for developing new drugs.
Shinhyuk Kim, Daeyong Jin, Hyunju Lee
doaj +1 more source
A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning
Frontiers in Pharmacology, 2022 Drug–drug interactions play a vital role in drug research. However, they may also cause adverse reactions in patients, with serious consequences. Manual detection of drug–drug interactions is time-consuming and expensive, so it is urgent to use computer ...
Ke Han +9 more
semanticscholar +1 more source
Cyclosporine exacerbates ketamine toxicity in zebrafish: Mechanistic studies on drug–drug interaction [PDF]
Journal of Applied Toxicology, 2017 AbstractCyclosporine A (CsA) is an immunosuppressive drug commonly used in organ transplant patients to prevent allograft rejections. Ketamine is a pediatric anesthetic that noncompetitively inhibits the calcium‐permeableN‐methyl‐d‐aspartic acid receptors.
Bonnie L. Robinson +5 more
openaire +2 more sources
Pharmaceutics, 2022 The direct oral anticoagulants (DOACs), dabigatran, rivaroxaban, apixaban, and edoxaban, are becoming the most commonly prescribed drugs for preventing ischemic stroke in patients with non-valvular atrial fibrillation (NVAF) and for the treatment and ...
N. Ferri +4 more
semanticscholar +1 more source
Crystal structure correlations with the intrinsic thermodynamics of human carbonic anhydrase inhibitor binding [PDF]
PeerJ, 2018 The structure-thermodynamics correlation analysis was performed for a series of fluorine- and chlorine-substituted benzenesulfonamide inhibitors binding to several human carbonic anhydrase (CA) isoforms.
Alexey Smirnov +4 more
doaj +2 more sources
Drug-drug interactions of tacrolimus [PDF]
Hospital Pharmacology, 2015 Introduction: Tacrolimus, potent immunosupressive drug, has large inter- and intraindividual pharmacokinetic variability. The aim: The aim of this current topic is to describe the importance of tacrolimus drug-drug interactions.
Rančić Nemanja K. +4 more
doaj +1 more source
Clinical Pharmacokinetics, 2021 Combined antiretroviral treatments have significantly improved the morbidity and mortality related to HIV infection, thus transforming HIV infection into a chronic disease; however, the efficacy of antiretroviral treatments is highly dependent on the ...
Daryl Hodge +4 more
semanticscholar +1 more source
Drug–drug interactions with warfarin: A systematic review and meta‐analysis
British Journal of Clinical Pharmacology, 2021 The objective of this paper is to systematically review the literature on drug–drug interactions with warfarin, with a focus on patient‐important clinical outcomes.
Mei Wang +12 more
semanticscholar +1 more source