Prescriptions

Evaluation of synergistic anticandidal and apoptotic effects of ferulic acid and caspofungin against Candida albicans.

This study aimed to investigate the synergy between anticandidal and apoptotic effects of ferulic acid and caspofungin against Candida albicans and Candida glabrata, with the help of a quantitative checkerboard microdilution assay using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) as a viability dye. Apoptotic effects of caspofungin and ferulic acid concentrations (alone and ...

SELF-BLM: Prediction of drug-target interactions via self-training SVM.

Predicting drug-target interactions is important for the development of novel drugs and the repositioning of drugs. To predict such interactions, there are a number of methods based on drug and target protein similarity. Although these methods, such as the bipartite local model (BLM), show promise, they often categorize unknown interactions as negative interaction. Therefore, these methods are not...

Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports.

OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug reactions and resulting in significant morbidity an...

Using Natural Language Processing and Network Analysis to Develop a Conceptual Framework for Medication Therapy Management Research.

This paper describes a theory derivation process used to develop a conceptual framework for medication therapy management (MTM) research. The MTM serv...

A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text.

Classification of drug-drug interaction (DDI) from medical literatures is significant in preventing medication-related errors. Most of the existing ma...

Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.

An important aspect of post-marketing drug surveillance involves identifying potential side-effects utilizing adverse drug event (ADE) reporting syste...

Monitoring Hitting Load in Tennis Using Inertial Sensors and Machine Learning.

CONTEXT: Quantifying external workload is fundamental to training prescription in sport. In tennis, global positioning data are imprecise and fail to ...

Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds.

Various biological factors have been implicated in convulsive seizures, involving side effects of drugs. For the preclinical safety assessment of drug...

A novel multi-target regression framework for time-series prediction of drug efficacy.

Excavating from small samples is a challenging pharmacokinetic problem, where statistical methods can be applied. Pharmacokinetic data is special due ...

Link prediction in drug-target interactions network using similarity indices.

BACKGROUND: In silico drug-target interaction (DTI) prediction plays an integral role in drug repositioning: the discovery of new uses for existing dr...

Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources.

BACKGROUND: Drug ontologies could help pharmaceutical researchers overcome information overload and speed the pace of drug discovery, thus benefiting ...

Automatic query generation using word embeddings for retrieving passages describing experimental methods.

Information regarding the physical interactions among proteins is crucial, since protein-protein interactions (PPIs) are central for many biological p...

Simultaneous determination of 14 active constituents of Shengjiang Xiexin decoction using ultrafast liquid chromatography coupled with electrospray ionization tandem mass spectrometry.

An effective herbal medicinal prescription of Shengjiang Xiexin decoction (SXD) was used in treating the inflammatory bowel disease in clinic. In this...

Simultaneous delivery of anti-miR21 with doxorubicin prodrug by mimetic lipoprotein nanoparticles for synergistic effect against drug resistance in cancer cells.

The development of drug resistance in cancer cells is one of the major obstacles to achieving effective chemotherapy. We hypothesized that the combina...

Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data.

Selected gene mutations are routinely used to guide the selection of cancer drugs for a given patient tumour. Large pharmacogenomic data sets, such a...

Robotic i.v. medication compounding: Recommendations from the international community of APOTECAchemo users.

PURPOSE: The development of recommendations for advancing automated i.v. medication compounding is described.

Prescription of Guideline-Recommended Implantable Cardioverter Defibrillator and Cardiac Resynchronization Therapy Among Patients Hospitalized With Heart Failure and Varying Degrees of Renal Function.

Implantable cardioverter defibrillators (ICD) and cardiac resynchronization therapy (CRT) reduce mortality in many patients with heart failure (HF), b...

Effect of energy balance profiles on metabolic and reproductive response in Holstein and Swedish Red cows.

This study examined the effect of two feeding levels during the antepartum and postpartum period on reproductive performance and blood metabolites (gl...

Accuracy of an automated knowledge base for identifying drug adverse reactions.

INTRODUCTION: Drug safety researchers seek to know the degree of certainty with which a particular drug is associated with an adverse drug reaction. T...

Potential herb-drug interaction of shexiang baoxin pill in vitro based on drug metabolism/transporter.

Many researches have proved functions of anti-oxidation, endothelial protection and pro-angiogenesis efficiency of Shexiang Baoxin Pill (SBP). This st...