Target Fisher: A Consensus Structure-Based Target Prediction Tool, and its Application in the Discovery of Selective MAO-B Inhibitors.

In this work we introduce Target Fisher, a consensus structure-based target prediction tool that integrates molecular docking and machine learning with the aim to aid in the identification of potential biological targets and the optimization of the use of bioassays. Target Fisher uses per-residue energy decomposition profiles extracted from docking poses as fingerprints to train target-specific machine learning models. It provides predictions for a curated set of 37 protein targets, covering a diverse range of biological entities, and offers a user-friendly interface accessible via a web server (https://gqc.

Dysphagia assessment in patients with multiple sclerosis - an additional piece to disability burden.

Objective: People with multiple sclerosis (MS) might experience symptoms that are usually underestimated. Dysphagia should be evaluated within the Expanded Disability Status Scale (EDSS), but clinicians often do not assess it properly. The objectives of this study are as follows: To assess the prevalence of dysphagia in patients with MS utilizing the Swallowing Disturbance Questionnaire (SDQ); to examine the correlation with the EDSS; to investigate the relationship between dysphagia and clinico-demographic characteristics of MS.

Simply red? The effects of distinct colours and sustainable production methods on the consumers' preferences for healthier sweet peppers.

The purpose of this paper is to thoroughly assess the value of colours in consumers' preferences for sweet peppers, and the association with more sustainable methods of production in the consumers' minds. Furthermore, this study provides novel insights into the influence of colours on the willingness to pay (WTP) for vegetables. It explores the interplay between colours, food attributes, and socio-demographic characteristics among consumers, marking the first attempt to examine this relationship comprehensively.

Puppy power: How neophobia, attitude towards sustainability, and animal empathy affect the demand for insect-based pet food.

Despite growing commercial interest in novel foods, there are few studies that analyse consumer willingness to purchase them as pet food. This study aimed to test whether consumers are willing to accept the use of foods with insect-based ingredients, which are found to be poorly accepted for human consumption, to feed their pets. In our case study, we analysed the willingness of 400 Italian dog and/or cat caregivers to pay for pet foods containing insect proteins, as measured by the Multiple Price List methodology.

Only the best for my kids: An extended TPB model to understand mothers' use of food labels.

Despite the evidence that mothers' food purchasing behavior impacts the quality of children's diet, few studies have explored psycho-social factors influencing how mothers choose the food to buy for their children. To fill this gap, this study tested an extended Theory of Planned Behavior (TPB) model to predict mothers' tendency to seek information on food labels before purchasing food for children. Participants included 311 Italian mothers who completed a self-report questionnaire measuring their information-seeking behavior, TPB variables, anticipated regret and healthy-eater identity.