International microbiology : the official journal of the Spanish Society for Microbiology
30810990
Silver nanoparticles (SN) have been recently developed as a new class of antimicrobial agents against numerous pathogenic microorganisms. SN have also been used as efficient drug delivery systems and have been linked with increasing drug potency. Her...
Phytomedicine : international journal of phytotherapy and phytopharmacology
29433688
BACKGROUND: Clinical methicillin-resistant Staphylococcus aureus (MRSA) is a thorny problem in current anti-infective therapeutics and a challenge of new drug development. Plant prenylflavonoids possess anti-MRSA activity, but few of the prenylflavon...
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-dimeth...
This in vitro study aimed to investigate the synergistic antibacterial activity of polymyxin B in combination with 2 nm silver nanoparticles (NPs) against Gram-negative pathogens commonly isolated from the cystic fibrosis (CF) lung. The in vitro syne...
Journal of pharmaceutical and biomedical analysis
29291586
Protein glycation in the body is one of the main reasons of diabetes complications. The electrochemical studies on the inhibitory mechanism of glycation are rather scarce. Thus, it is important to investigate the role of electrochemistry in the glyca...
BACKGROUND: Nearly half of the world's population (3.2 billion people) were at risk of malaria in 2015, and resistance to current therapies is a major concern. While the standard of care includes drug combinations, there is a pressing need to identif...
The synergistic effect of drug combination is one of the most desirable properties for treating cancer. However, systematically predicting effective drug combination is a significant challenge. We report here a novel method based on deep belief netwo...
Prediction of drug synergy score is an ill-posed problem. It plays an efficient role in the medical field for inhibiting specific cancer agents. An efficient regression-based machine learning technique has an ability to minimise the drug synergy pred...
Journal of bioinformatics and computational biology
31057072
Identification of effective drug combinations for patients is an expensive and time-consuming procedure, especially for experiments. To accelerate the synergistic drug discovery process, we present a new classification model to identify more effecti...