Metagenomic Analysis Reveals the Complex Microbial Landscape of Market Chicken Meat.

Unlabelled: The safety of meat from a microbiological standpoint is of paramount concern to public health, given the potential for bacterial contaminants to grow and persist during processing and storage. To address this issue, a culture-independent approach targeting the V3-V4 region of the gene was utilized to investigate the inherent bacterial communities present in 10 chicken meat samples obtained from retail markets. Amplicons were sequenced using the Illumina MiSeq platform, and unique amplicon sequence variants (ASVs) were identified using the DADA2 pipeline.

Vaccine development using artificial intelligence and machine learning: A review.

The COVID-19 pandemic has underscored the critical importance of effective vaccines, yet their development is a challenging and demanding process. It requires identifying antigens that elicit protective immunity, selecting adjuvants that enhance immunogenicity, and designing delivery systems that ensure optimal efficacy. Artificial intelligence (AI) can facilitate this process by using machine learning methods to analyze large and diverse datasets, suggest novel vaccine candidates, and refine their design and predict their performance.

Isolation and Characterization of Extended-Spectrum β-Lactamase Producing from Pig Farms and Slaughterhouse.

Extended-spectrum β-lactamase (ESBL) producing represents a formidable challenge in the field of microbiology and public health due to its resistance to commonly used antibiotics. These strains pose a serious threat to human and animal health, underscoring the urgency of comprehensive research and surveillance. The ongoing investigation seeks ESBL producing strains from pig farms and slaughterhouses in West Bengal and Assam, India.

Computational exploration of microsomal cytochrome P450 3A1 enzyme modulation by phytochemicals of Cichorium intybus L.: Insights into drug metabolism.

Drug metabolism plays a crucial role in drug fate, including therapeutic inactivation or activation, as well as the formation of toxic compounds. This underscores the importance of understanding drug metabolism in drug discovery and development. Considering the substantial costs associated with traditional drug development methods, computational approaches have emerged as valuable tools for predicting the metabolic fate of drug candidates.