Abstract
The detailed knowledge of the human genome has not fulfilled its promise as yet. It seems fair to say that we are far from treating existing diseases by therapeutic interventions developed on the basis of genetic knowledge. However, pharmacogenetics has shown to be useful in improving our understanding of pharmacotherapy. Industry is starting to embed this knowledge in the design of innovative drugs and there are three important areas of interest: safety, efficacy and target identification. Application of pharmacogenetics e.g. in patient selection are leading to the direction of more personalised medicine. The future will bring more of such applications. However, current knowledge also leads to a more integrated approach of pharmacogenetics as part of systems biology, providing an even more complete image of reality surrounding disease and therapy, including for example environmental factors and behaviour. In addition, collaborative efforts with academic partners are very much welcomed by the pharmaceutical industry and are expected to have a synergistic effect on progression in this field.
Call for Papers in Thematic Issues
"Multidisciplinary Pharmaceutical Drug Design Strategies in the Progress of Drug Discovery"
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
Accelerating Cancer drug discovery using Artificial intelligence and In Silico methods
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
Advances in the Molecular Pathogenesis of Inflammatory Bowel Disease.
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
Artificial Intelligence and Computational Approaches in Drug Discovery
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
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