AIMC Topic: Anti-Infective Agents

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Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs.

Molecules (Basel, Switzerland)
The emergence of microbes resistant to common antibiotics represent a current treat to human health. It has been recently recognized that non-antibiotic labeled drugs may promote antibiotic-resistance mechanisms in the human microbiome by presenting ...

Simulation program of a cytotoxic compounding robot for monoclonal antibodies and anti-infectious sterile drug preparation.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
The aim of this study was to develop a specific simulation program for the validation of a cytotoxic compounding robot, KIRO® Oncology, for the preparation of sterile monoclonal antibodies and anti-infectious drugs. The impact of excipient formulatio...

Rapid Rule Out of Culture-Negative Bloodstream Infections by Use of a Novel Approach to Universal Detection of Bacteria and Fungi.

The journal of applied laboratory medicine
BACKGROUND: Currently it can take up to 5 days to rule out bloodstream infection. With the low yield of blood cultures (approximately 10%), a significant number of patients are potentially exposed to inappropriate therapy that can lead to adverse eve...

Natural language processing-based assessment of consistency in summaries of product characteristics of generic antimicrobials.

Pharmacology research & perspectives
To investigate consistency in summaries of product characteristics (SmPCs) of generic antimicrobials, we used natural language processing (NLP) to analyze and compare large amounts of text quantifying consistency between original and generic SmPCs. W...

Recurrent Neural Network Model for Constructive Peptide Design.

Journal of chemical information and modeling
We present a generative long short-term memory (LSTM) recurrent neural network (RNN) for combinatorial de novo peptide design. RNN models capture patterns in sequential data and generate new data instances from the learned context. Amino acid sequenc...

Supervised learning for infection risk inference using pathology data.

BMC medical informatics and decision making
BACKGROUND: Antimicrobial Resistance is threatening our ability to treat common infectious diseases and overuse of antimicrobials to treat human infections in hospitals is accelerating this process. Clinical Decision Support Systems (CDSSs) have been...

Innovative material containing the natural product curcumin, with enhanced antimicrobial properties for active packaging.

Materials science & engineering. C, Materials for biological applications
Curcumin (Curc) reacts with zinc di‑iodine (ZnI) in 2:1molar ratio in the presence of an excess of a base triethylamine ((CHCH)N) in methanol (CHOH) solution towards the amorphous solid material of formula [ZnI(Curc)] (1). The complex was characteriz...

Universal simultaneous multiplex ELISA of small molecules in milk based on dual luciferases.

Analytica chimica acta
The enzyme-linked immunosorbent assay (ELISA) has become the most important and widely used rapid detection technology for food safety because of its simple operation, fast speed and high sensitivity. Multiplex synchronous detection is the goal of EL...