Results 41 to 50 of about 10,950,669 (421)
Drug–Drug–Gene Interactions in Cardiovascular Medicine
Pharmacogenomics and Personalized Medicine, 2022 Innocent G Asiimwe, Munir Pirmohamed The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool ...
Asiimwe IG, Pirmohamed M
doaj
Drug-Drug Interactions Among Hepatitis C Virus (HCV) and Human Immunodeficiency Virus (HIV) Medications [PDF]
, 2015 One-fourth of individuals diagnosed with the human immunodeficiency virus concomitantly have the hepatitis C virus infection. Since the discovery of highly active antiretroviral therapy, liver complications have become the leading cause of morbidity and ...
Gandhi, Mona A. +2 more
core +2 more sources
PharmaceuticalsClinical practice entails a translation of research that assists in the use of scientific data and therapeutic evidence for the benefit of the patient. This review critically summarizes the potential impact of cannabinoids in conjunction with other drugs
Maria G. Campos +6 more
doaj +1 more source
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring [PDF]
arXiv, 2022 Motivation: Predicting the drug-target interaction is crucial for drug discovery as well as drug repurposing. Machine learning is commonly used in drug-target affinity (DTA) problem. However, machine learning model faces the cold-start problem where the model performance drops when predicting the interaction of a novel drug or target.
arxiv
Potential P-Glycoprotein-Mediated Drug-Drug Interactions of Antimalarial Agents in Caco-2 cells [PDF]
, 2012 Antimalarials are widely used in African and Southeast Asian countries, where they are combined with other drugs for the treatment of concurrent ailments.
Horie, Toshiharu +3 more
core +1 more source
Current Drug Discovery Technologies, 2013 Small molecules with selective efficacy can be used as drugs. Drugs typically have a therapeutic dose range where the benefit from intended effects outweighs the cost of unintended (side) effects. Herein, I use case scenarios to illustrate potential advantages and pitfalls of treatment with drugs alone or in combination.
openaire +4 more sources
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures [PDF]
, 2019 Drug-drug interactions are preventable causes of medical injuries and often result in doctor and emergency room visits. Computational techniques can be used to predict potential drug-drug interactions. We approach the drug-drug interaction prediction problem as a link prediction problem and present two novel methods for drug-drug interaction prediction
arxiv +1 more source
BMC Bioinformatics, 2017 Drug-drug interactions (DDIs) are one of the major concerns in drug discovery. Accurate prediction of potential DDIs can help to reduce unexpected interactions in the entire lifecycle of drugs, and are important for the drug safety surveillance.
Wen Zhang +5 more
semanticscholar +1 more source
Multiscale modelling of cancer progression and treatment control : the role of intracellular heterogeneities in chemotherapy treatment [PDF]
, 2015 Cancer is a complex, multiscale process involving interactions at intracellular, intercellular and tissue scales that are in turn susceptible to microenvironmental changes.
Chaplain, Mark Andrew Joseph +1 more
core +1 more source
MoleculesBee Pollen (BP) has many advantageous properties relying on its multitargeting potential, a new tendency in managing many challenging illnesses. In cancer and neurodegeneration, the multiple effects of BP could be of unequaled importance and need further
Rachid Kacemi, Maria G. Campos
doaj +1 more source