Prescriptions

Increased Absorption and Inhibitory Activity against spp. of Imidazole Derivatives in Synergistic Association with a Surface Active Agent.

This paper's purpose was to evaluate the interaction between three imidazole derivatives, (2-methyl-1-imidazol-1-yl)methanol (SAM3), 1,1'-methanediylbis(1-benzimidazole (AM5) and (1-benzo[d]imidazol-1-yl)methanol 1-hydroxymethylbenzimidazole (SAM5) on the one hand, and sodium dodecyl sulphate (SDS) on the other, as antifungal combinations against spp. Inhibitory activity was assessed using the ag...

Antioxidant activity of fermentation mycelia contributions of different solvent extractions and their inhibitory effect on α-amylase.

spp. have historically been used as traditional medicines to treat various diseases owing to their antioxidant, antitumor, and antidiabetic activities. Polysaccharides exhibit antidiabetic activity. In the present study, the polysaccharide contents of four strains were compared. QB72 possessed higher polysaccharide production, stronger 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging, an...

Novel Modular Walking Orthosis (MOWA) for Powerful Correction of Gait Deviations in Subjects with a Neurological Disease.

This article introduces a novel concept where advanced technologies have been leveraged to produce a modular walking orthosis (MOWA) within a complete...

MASP-2 deficiency does not prevent the progression of diabetic kidney disease in a mouse model of type 1 diabetes.

Mannan-binding lectin (MBL) initiates the lectin pathway of complement and has been linked to albuminuria and mortality in diabetes. We hypothesize th...

DRLM: A Robust Drug Representation Learning Method and its Applications.

Learning representations from data is a fundamental step for machine learning. High-quality and robust drug representations can broaden the understand...

Multitype Perception Method for Drug-Target Interaction Prediction.

With the growing popularity of artificial intelligence in drug discovery, many deep-learning technologies have been used to automatically predict unkn...

A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs.

Predicting drug side effects before they occur is a critical task for keeping the number of drug-related hospitalizations low and for improving drug d...

Identification, synthesis, and characterization of an unprecedented N-(2-carboxyethyl) adduct impurity in an injectable ganirelix formulation.

Ganirelix, a peptide-based drug used to treat female infertility, has been in high market demand, which attracted generic formulation. A hitherto unkn...

Comprehensive Review of Drug-Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities.

Detecting drug-drug interactions (DDIs) is an essential step in drug development and drug administration. Given the shortcomings of current experiment...

AIDDISON: Empowering Drug Discovery with AI/ML and CADD Tools in a Secure, Web-Based SaaS Platform.

The widespread proliferation of artificial intelligence (AI) and machine learning (ML) methods has a profound effect on the drug discovery process. Ho...

The gait1415+2 OpenSim musculoskeletal model of transfemoral amputees with a generic bone-anchored prosthesis.

This short communication presents the gait1415+2 musculoskeletal model, that has been developed in OpenSim to describe the lower-extremity of a human ...

Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis.

In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges as a transformative force, bridging the realms of biology and te...

Identification of oral therapeutics using an AI platform against the virus responsible for COVID-19, SARS-CoV-2.

This study introduces a sophisticated computational pipeline, , designed for the discovery of antiviral drugs based on their interactions within the ...

The relationship between student interaction with generative artificial intelligence and learning achievement: serial mediating roles of self-efficacy and cognitive engagement.

Generative artificial intelligence (GAI) shocked the world with its unprecedented ability and raised significant tensions in the education field. Educ...

Dynamic mutual predictions during social learning: A computational and interbrain model.

During social interactions, we constantly learn about the thoughts, feelings, and personality traits of our interaction partners. Learning in social i...

Deconstructing Haptic Feedback Information in Robot-Assisted Needle Insertion in Soft Tissues.

This paper evaluates the role and effectiveness of different types of haptic feedback in presenting relevant feedback information during needle insert...

High-Performance Hydrogel Sensors Enabled Multimodal and Accurate Human-Machine Interaction System for Active Rehabilitation.

Human-machine interaction (HMI) technology shows an important application prospect in rehabilitation medicine, but it is greatly limited by the unsati...

Discovery of a structural class of antibiotics with explainable deep learning.

The discovery of novel structural classes of antibiotics is urgently needed to address the ongoing antibiotic resistance crisis. Deep learning approac...

Therapeutic drug monitoring of perampanel: Clinical utility and impact of co-medication on pharmacokinetic variability.

BACKGROUND: Perampanel (PER) is a newly developed antiseizure medication (ASM). This study aimed to determine the utilization of therapeutic drug moni...

Unmasking crucial residues in adipose triglyceride lipase for coactivation with comparative gene identification-58.

Lipolysis is an essential metabolic process that releases unesterified fatty acids from neutral lipid stores to maintain energy homeostasis in living ...