Evaluation of immunological effects of two DNA vaccines against Nocardia seriolae in hybrid snakehead.

Although DNA vaccines hold significant potential, their practical application in aquaculture remains limited. In both mammals and teleost fish, B cells, which recognize antigens and produce antibodies, play an important role in immunity. In this study, B-cell epitopes capable of inducing fish immunity from IS701 family transposase (IS701) and molybdopterin-dependent oxidoreductase (Mol) proteins of Nocardia seriolae were screened.

Design, synthesis, and activity evaluation of indole derivatives as potential stabilizers for p53 Y220C.

The p53 Y220C mutation is frequently observed in human cancers. This mutation renders the p53 Y220C unstable at physiological temperatures, leading to a loss of its normal function and promoting tumor development. In this study, a total of eight compounds were designed and synthesized based on the active compound C8.

Yellow light and ultrasound Dual-responsive strontium-doped zinc oxide composites for dental caries prevention and remineralization.

Dental caries is one of the most prevalent chronic infectious diseases, mainly due to acid production by bacteria in the plaque biofilm, leading to enamel demineralization, tooth defects and pulpitis. Most of the current treatments are invasive and do not combine restoration of dental tissues, resolution of tooth staining or prevention of dental caries. In this study, a polydopamine (PDA)-encapsulated strontium-doped zinc oxide composite (Sr-ZnO@PDA, denoted as SZ@PDA) has been developed for caries prevention and remineralization.

Discovery of novel covalent stabilizers for p53 Y220C using structure-based drug discovery methods.

The p53 Y220C mutation, a prevalent structural variant in human cancers, compromises DNA binding and tumor suppressor functions by destabilizing the protein structure. Leveraging a combined approach of structure-based virtual screening, molecular dynamics simulations, and in vitro assays, we have identified C8, a racemic compound with an indole core and α, β-unsaturated carbonyl groups, as a covalent stabilizer for p53 Y220C. Protein thermal shift and homogeneous time-resolved fluorescence assays confirmed that C8 and its analogs selectively bind to p53 Y220C and restore its DNA binding ability.

Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery.

Artificial intelligence transforms drug discovery, with phenotype-based approaches emerging as a promising alternative to target-based methods, overcoming limitations like lack of well-defined targets. While chemical-induced transcriptional profiles offer a comprehensive view of drug mechanisms, inherent noise often obscures the true signal, hindering their potential for meaningful insights. Here, we highlight the development of TranSiGen, a deep generative model employing self-supervised representation learning.

Cosine convolutional neural network and its application for seizure detection.

Traditional convolutional neural networks (CNNs) often suffer from high memory consumption and redundancy in their kernel representations, leading to overfitting problems and limiting their application in real-time, low-power scenarios such as seizure detection systems. In this work, a novel cosine convolutional neural network (CosCNN), which replaces traditional kernels with the robust cosine kernel modulated by only two learnable factors, is presented, and its effectiveness is validated on the tasks of seizure detection. Meanwhile, based on the cosine lookup table and KL-divergence, an effective post-training quantization algorithm is proposed for CosCNN hardware implementation.

Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model.

Automatic seizure detection plays a key role in assisting clinicians for rapid diagnosis and treatment of epilepsy. In view of the parallelism of temporal convolutional network (TCN) and the capability of bidirectional long short-term memory (BiLSTM) in mining the long-range dependency of multi-channel time-series, we propose an automatic seizure detection method with a novel end-to-end TCN-BiLSTM model in this work. First, raw EEG is filtered with a 0.

The emergence of machine learning force fields in drug design.

In the field of molecular simulation for drug design, traditional molecular mechanic force fields and quantum chemical theories have been instrumental but limited in terms of scalability and computational efficiency. To overcome these limitations, machine learning force fields (MLFFs) have emerged as a powerful tool capable of balancing accuracy with efficiency. MLFFs rely on the relationship between molecular structures and potential energy, bypassing the need for a preconceived notion of interaction representations.

KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling.

Kinase inhibitors are crucial in cancer treatment, but drug resistance and side effects hinder the development of effective drugs. To address these challenges, it is essential to analyze the polypharmacology of kinase inhibitor and identify compound with high selectivity profile. This study presents KinomeMETA, a framework for profiling the activity of small molecule kinase inhibitors across a panel of 661 kinases.

Self-attention-based convolutional neural network and time-frequency common spatial pattern for enhanced motor imagery classification.

Background: Motor imagery (MI) based brain-computer interfaces (BCIs) have promising potentials in the field of neuro-rehabilitation. However, due to individual variations in active brain regions during MI tasks, the challenge of decoding MI EEG signals necessitates improved classification performance for practical application.

New Method: This study proposes a self-attention-based Convolutional Neural Network (CNN) in conjunction with a time-frequency common spatial pattern (TFCSP) for enhanced MI classification.

Construction of an alanine dehydrogenase gene deletion strain for vaccine development against Nocardia seriolae in hybrid snakehead (Channa maculata ♀ × Channa argus ♂).

Nocardia seriolae is the main pathogen of fish nocardiosis. In our previous study, alanine dehydrogenase was identified as a potential virulence factor of N. seriolae.

Induction of attenuated Nocardia seriolae and their use as live vaccine trials against fish nocardiosis.

Nocardia seriolae, a Gram-positive facultative intercellular pathogen, has been identified as the causative agent of fish nocardiosis, causing substantial mortality and morbidity of a wide range of fish species. Looking into that fact, the effective vaccine against this pathogen is urgently needed to control the significant losses in aquaculture practices. In order to induct attenuated strains for developing the potential live vaccines, the mutagenic N.

Identification of a secretory heme-binding protein from Nocardia seriolae involved in cell apoptosis.

According to the whole-genome bioinformatics analysis, a heme-binding protein from Nocardia seriolae (HBP) was found. HBP was predicted to be a bacterial secretory protein, located at mitochondrial membrane in eukaryotic cells and have a similar protein structure with the heme-binding protein of Mycobacterium tuberculosis, Rv0203. In this study, HBP was found to be a secretory protein and co-localized with mitochondria in FHM cells.

Oxygen-functionalized TlTe buckled honeycomb from first-principles study.

A sizable band gap is crucial for the applications of topological insulators at room temperature. By first-principles calculations, we found that oxygen-functionalized TlTe buckled honeycomb, namely TlTeO, possessed quantum spin Hall (QSH) state with a sizable band gap of 0.17 eV, which owns potential applications at the room temperature.

Long-term consumption of caffeine-free high sucrose cola beverages aggravates the pathogenesis of EAE in mice.

Epidemiological data provide strong evidence of dramatically increasing incidences of many autoimmune diseases in the past few decades, mainly in western and westernized countries. Recent studies clearly revealed that 'Western diet' increases the risk of autoimmune diseases at least partially via disrupting intestinal tight junctions and altering the construction and metabolites of microbiota. However, the role of high sucrose cola beverages (HSCBs), which are one of the main sources of added sugar in the western diet, is barely known.

A novel method to detect Listeria monocytogenes via superparamagnetic lateral flow immunoassay.

A novel strip test system combining immunomagnetic separation with lateral flow immunoassay (LFIA) was established for the accurate detection of Listeria monocytogenes. In this system, a pair of matched monoclonal antibodies was used to construct a sandwich immunoassay, in which superparamagnetic particles were coupled with one of the antibodies as a labeled antibody to capture the target bacteria, while the other antibody was immobilized on the detection zone. After a 20-min reaction, the strips were analyzed by a novel instrument which could detect the magnetic signal of the immunocomplex in a magnetic field.

[Rapid detection of Listeria monocytogenes by immunomagnetic separation combined with selective medium].

Listeria monocytogenes is a pathogenic bacterium, therefore, it is essential for food safety monitoring to establish a rapid and specific detecting method. In this study, immunomagnetic beads and selective medium were combined to detect Listeria monocytogenes at different concentrations (10(1)-10(5) CFU/mL). Other three types of Listeria spp.