Expert Systems in Preformulation and Formulation Development with Special Reference to SeDeM System: An Innovative, Problem Solving, Intelligent and Optimization Algorithm Tool
In the field of pharmaceutical research, expert tool has become a game-changing tool that is altering many aspects of drug discovery and development. Understanding the physicochemical characteristics of drug candidates is essential for developing formulation methods, and this is where preformulation studies come into play. The incorporation of expert tools in preformulation research is thoroughly examined in this review, which also highlights the problems, applications, and future prospects of these techniques. Further, the present review focuses on role of SeDeM expert system to generate information about drug and excipients in association with Artificial Intelligence (AI). Researchers can identify safer and more effective therapies by utilizing AI-driven techniques to accelerate drug development processes, optimize formulations, and reduce risks related to drug delivery.
Authors
- Megha Verma (ORCID: https://orcid.org/0000-0001-7767-612X)
- Anupam Jaiswal
- Ajay Kumar Shukla (ORCID: https://orcid.org/0000-0003-0322-4678)
- Kunal Agam Kanaujia (ORCID: https://orcid.org/0009-0007-0835-5526)
- Vimal Kumar Yadav (ORCID: https://orcid.org/0000-0003-1863-2498)
- Vandana Gupta (ORCID: https://orcid.org/0000-0002-2543-5911)
Institutions
- Dr. Ram Manohar Lohia Avadh University (IN)
- Sam Higginbottom Institute of Agriculture (IN)
Publication Details
- Journal
- Current Indian Science
- Published
- 2024-12-10
- DOI
- https://doi.org/10.2174/012210299x338978241015155050
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00