Author:
Khare Noopur,Khare Pragati
Abstract
The combination of molecular docking with personalised medicine represents a paradigm shift in drug development, providing unmatched accuracy in customising therapeutic approaches for specific patients. This collaborative effort utilises cutting-edge computational methods, including molecular docking, in conjunction with genetic insights to optimise and anticipate drug-receptor interactions. Revolutionary achievements could be further amplified by integrating large-scale omics data, artificial intelligence, and structural biology discoveries. Molecular docking and personalised medicine are developing fields that could lead to treatments that take into account each patient’s unique molecular profile in addition to previously unheard-of levels of accuracy in disease diagnosis. This revolutionary landscape will be further enhanced by future developments in quantum computing, CRISPR-based gene editing, and biomarker discovery. These advances will enable the realisation of a healthcare paradigm in which interventions are not only precise but also proactive, thereby realising the full potential of customised therapeutic strategies for improved patient outcomes.
Reference73 articles.
1. Moerenhout T, Devisch I, Cornelis GC. E-health beyond technology: Analyzing the paradigm shift that lies beneath. Medicine, Health Care and Philosophy. 2018;:31-41
2. Kunduru AR. Machine learning in drug discovery: A comprehensive analysis of applications, challenges, and future directions. International Journal on Orange Technologies. 2023;(8):29-37
3. Ginsburg GS, Willard HF. The foundations of genomic and personalized medicine. In: Essentials of Genomic and Personalized Medicine. Academic Press; 2010. pp. 1-10
4. Khare N, Maheshwari SK, Rizvi SM, Albadrani HM, Alsagaby SA, Alturaiki W, et al. Homology modelling, molecular docking and molecular dynamics simulation studies of CALMH1 against secondary metabolites of bauhinia variegata to treat Alzheimer’s disease. Brain Sciences. 2022;(6):770
5. Ahmed Z, Mohamed K, Zeeshan S, Dong X. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database. 2020;:baaa010
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献