Erratum

The process of developing a drug is time and money-consuming, but also fascinating. The development of numerous computational techniques, synthetic methodologies, formulation-based drug discovery, etc., has improved the drug discovery process. The process of developing new drugs is significantly hampered by drug-poor pharmacodynamics and pharmacokinetic problems. To address these challenges, ...read more

The Artificial intelligence and in silico methods speed up cancer drug discovery, transforming how new treatments are developed. Artificial intelligence, along with in silico methods, allows for quick investigation of large biological datasets, helping identify potential drug targets with remarkable speed and accuracy. Machine learning models help us understand how ...read more

This thematic issue will emphasize the recent breakthroughs in the mechanisms of Inflammatory bowel disease (IBD) pathogenesis and devotes some understanding of both Crohn’s and ulcerative colitis. It is expected to include studies about cellular and genetic aspects, which help to precipitate the disease, and the immune system-gut microbiome relations ...read more

Computer-aided drug design (CADD) and artificial intelligence (AI) are fundamentally reshaping drug discovery pipelines by significantly enhancing efficiency in molecular screening, rational drug design, and natural product development. In the field of molecular screening, the integration of virtual high-throughput screening with advanced AI models enables rapid analysis of million-compound libraries, ...read more