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Anti-Bacterial Agents

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Membrane separation of antibiotics predicted with the back propagation neural network.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Antibiotics and antibiotic resistance genes (ARGs) have been frequently detected in the aquatic environment and are regarded as emerging pollutants. The prediction models for the removal effect of four target antibiotics by membrane separation techno...

A historical, economic, and technical-scientific approach to the current crisis in the development of antibacterial drugs: Promising role of antibacterial peptides in this scenario.

Microbial pathogenesis
The emergence of antibiotic resistance (AMR) is a global public health problem. According to estimates, drug-resistant bacteria infect 2 million patients and perish 23,000 annually. To overcome this problem, antimicrobial peptides became a potential ...

Addressing antibiotic resistance: computational answers to a biological problem?

Current opinion in microbiology
The increasing prevalence of infections caused by antibiotic-resistant bacteria is a global healthcare crisis. Understanding the spread of resistance is predicated on the surveillance of antibiotic resistance genes within an environment. Bioinformati...

Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy.

BMC bioinformatics
BACKGROUND: Antibiotic resistance has become a global concern. Vancomycin is known as the last line of antibiotics, but its treatment index is narrow. Therefore, clinical dosing decisions must be made with the utmost care; such decisions are said to ...

Artificial intelligence and the potential for perioperative delabeling of penicillin allergies for neurosurgery inpatients.

British journal of neurosurgery
PURPOSE OF THE ARTICLE: Patients with penicillin allergy labels are more likely to have postoperative wound infections. When penicillin allergy labels are interrogated, a significant number of individuals do not have penicillin allergies and may be d...

Rational design of stapled antimicrobial peptides.

Amino acids
The global increase in antimicrobial drug resistance has dramatically reduced the effectiveness of traditional antibiotics. Structurally diverse antibiotics are urgently needed to combat multiple-resistant bacterial infections. As part of innate immu...

Models and data of AMPlify: a deep learning tool for antimicrobial peptide prediction.

BMC research notes
OBJECTIVES: Antibiotic resistance is a rising global threat to human health and is prompting researchers to seek effective alternatives to conventional antibiotics, which include antimicrobial peptides (AMPs). Recently, we have reported AMPlify, an a...

Explainable Deep Learning-Assisted Photochromic Sensor for β-Lactam Antibiotic Identification.

Analytical chemistry
Photochromic sensors have the advantages of diverse isomers for multi-analysis, providing more sensing information and possessing more recognition units and more sensitivity to external stimulations, but they present enormous complexity with various ...