Frontiers in pharmacology
Feb 23, 2022
Although guidelines have recommended standardized drug treatment for heart failure (HF), there are still many challenges in making the correct clinical decisions due to the complicated clinical situations of HF patients. Each patient would satisfy s...
Frontiers in pharmacology
Feb 22, 2022
The present study aimed to investigate the effects of irbesartan and amlodipine besylate tablets on the intestinal microflora of rats with hypertensive renal damage. Eighteen 12-week-old male spontaneous hypertensive rats were randomly divided into...
Frontiers in pharmacology
Apr 23, 2021
Clinical drug-drug interactions (DDIs) have been a major cause for not only medical error but also adverse drug events (ADEs). The published literature on DDI clinical toxicity continues to grow significantly, and high-performance DDI information ret...
Frontiers in pharmacology
Mar 12, 2021
Necklace orchids (Coelogyninae, Epidendroideae) have been used in traditional medicine practices for centuries. Previous studies on a subset of unrelated orchid species utilized in these traditional practices revealed they possessed antimicrobial, an...
Frontiers in pharmacology
Mar 4, 2021
Trastuzumab () is useful in the clinical management of HER2-positive metastatic breast, gastric, and colorectal carcinoma but has been limited by its off-target cardiotoxicity. This study investigates the therapeutic potentials of 0.25 mg/kg/day amlo...
Frontiers in pharmacology
Feb 19, 2020
Ultrafast Shape Recognition (USR), along with its derivatives, are Ligand-Based Virtual Screening (LBVS) methods that condense 3-dimensional information about molecular shape, as well as other properties, into a small set of numeric descriptors. Thes...
Frontiers in pharmacology
Feb 12, 2020
OBJECTIVE: Drawing a growth curve of multidrug-resistant (MDR-PA) provides a foundation for susceptibility testing. By observing antibacterial activity and ultrastructure cthanges on MDR-PA of the effective components in the drug-containing serum o...
Frontiers in pharmacology
Jan 31, 2020
OBJECTIVES: Little research has been done in pharmacoepidemiology on the use of machine learning for exploring medicinal treatment effectiveness in oncology. Therefore, the aim of this study was to explore the added value of machine learning methods ...
Frontiers in pharmacology
Jan 30, 2020
MOTIVATION: S-adenosyl-L-methionine (SAM) is an essential cofactor present in the biological system and plays a key role in many diseases. There is a need to develop a method for predicting SAM binding sites in a protein for designing drugs against S...
Frontiers in pharmacology
Jan 28, 2020
Capsule networks (CapsNets), a new class of deep neural network architectures proposed recently by Hinton et al., have shown a great performance in many fields, particularly in image recognition and natural language processing. However, CapsNets have...