ABSTRACT:
Drug discovery and development is a highly structured, multidisciplinary process that converts scientific hypotheses into safe and effective medicines. The pipeline spans target identification, lead discovery, optimization, preclinical evaluation, clinical trials, regulatory review, and post-marketing surveillance. Modern innovations, including artificial intelligence (AI), multi-omics approaches, CRISPR gene editing, and organ-on-chip models, have transformed traditional workflows, improving efficiency and predictive accuracy. Despite these advances, high attrition rates, regulatory complexity, and rising costs continue to challenge pharmaceutical development. This review provides a comprehensive overview of contemporary drug discovery strategies, emphasizing translational research, emerging technologies, and future perspectives.
Cite this article:
Janhavi V. Patil, Junaid S. Shaikh. A Review on Drug Discovery and Development Processes. Research Journal of Science and Technology. 2026; 18(2):205-2. doi: 10.52711/2349-2988.2026.00029
Cite(Electronic):
Janhavi V. Patil, Junaid S. Shaikh. A Review on Drug Discovery and Development Processes. Research Journal of Science and Technology. 2026; 18(2):205-2. doi: 10.52711/2349-2988.2026.00029 Available on: https://rjstonline.com/AbstractView.aspx?PID=2026-18-2-12
16. REFERENCES:
1. Artificial intelligence in drug discovery and development: Transforming challenges into opportunities. (2025). Discover Pharmaceutical Sciences, 1, Article 7. https://doi.org/10.1007/s44395-025-00007-3
2. Chai, X. Y., and Tham, C. L. Drug discovery and development: A historical overview, current challenges and perspectives. Life Sciences, Medicine and Biomedicine. 2024; 8(1).
3. Advancements in contemporary pharmacological innovation: Mechanistic insights and emerging trends in drug discovery and development. Intelligent Pharmacy. 2025; 3(2): 118–126.
4. Technology Networks. Top trends shaping pharma in 2024: AI, gene editing, biosimilars and real-world data. 2024
5. Survey: Highlighting drug development challenges and opportunities. (2024). PPD Insights Hub.
6. Target 2035. Wikipedia.
7. Keerthana, N., and Koteeswaran, K. Target identification and validation in research. World Journal of Biology Pharmacy and Health Sciences. 2024; 17(3): 107–117.
8. Biswas, B., Sugimoto, M., and Hoque, M. A. Discovery of genomic targets for liver cancer using scRNA sequencing and docking. Biology. 2025; 14(4): 431. https://doi.org/10.3390/biology14040431
9. Hong, Y., et al. Integrative genomic and single-cell framework identifies druggable targets for colorectal cancer. Frontiers in Immunology. 2025; 16: 1604154.
10. Du, P., Fan, R., Zhang, N., Wu, C., and Zhang, Y. Advances in integrated multi-omics analysis for drug-target identification. Biomolecules. 2024; 14(6): 692. https://doi.org/10.3390/biom14060692
11. Therapeutic target identification and drug discovery driven by chemical proteomics. Biology. 2024; 13(8): 555.
12. Tosi, M. Computational drug discovery: Bioinformatics approaches. Archives of Industrial Biotechnology. 2024; 8(3): 211.
13. Systematic computational strategies for identifying protein targets and lead discovery. RSC Medicinal Chemistry. 2024; 15(7): 2254–2269.
14. Genome-wide CRISPR-Cas9 knockout screens. (2025). Wikipedia.
15. Khambhati, K., et al. (2024). High-throughput screening for drug repurposing. Progress in Molecular Biology and Translational Science. https://doi.org/10.1016/bs.pmbts.2024.03.013
16. Lam, J. H., and Katritch, V. (2025). Structure-based drug discovery innovations. NPJ Drug Discovery.
17. Pathak, R. K., Singh, D. B., and Nguyen, B. P. Structure-based design and computational techniques. Frontiers in Drug Discovery. 2025; 5: 1632015.
18. Pathak, A., Theagarajan, R., and Rizqi, M. M. AI-enabled drug discovery platforms. Discover Molecules. 2025; 2: 32. https://doi.org/10.1007/s44345-025-00037-5
19. Fragment-based drug discovery: A graphical review. Current Research in Pharmacology and Drug Discovery. 2025; 9: 100233.
20. Bridging chemical space and biological efficacy: Advances in natural products. Natural Products and Bioprospecting. 2025; 15: 37.
21. Basnet, B. B. (2025). AI strategies for natural product drug discovery. Critical Reviews in Biotechnology.
22. Singh, D. B., Khatri, D., and Pathak, R. K. Advances in SAR and lead optimization. Frontiers in Drug Discovery. 2025; 6: 1654321.
23. Sharma, R., and Mehta, V. Optimizing ADME properties. European Journal of Pharmaceutical Sciences. 2025
24. Lee, J., and Kim, S. Predictive toxicology in drug development. Toxicological Sciences. 2024
25. Naidoo, K., and Singh, M. Targeted delivery strategies to reduce toxicity. International Journal of Pharmaceutics. 2025
26. Sharma, U., and Jain, S. Preformulation studies of bergenin. International Journal of Drug Delivery Technology. 2025; 15(2): 439–443.
27. Preformulation Considerations in Pharmaceutical Formulation Process. 2024. Elsevier.
28. Kumar, P., and Singh, A. Animal models in preclinical drug development. Biomedicine and Pharmacotherapy. 2024; 158: 114261.
29. World Health Organization. (2024). Guidelines on nonclinical safety evaluation.
30. U.S. Food and Drug Administration. (2025). Investigational New Drug (IND) application.
31. U.S. Food and Drug Administration. (2025). New Drug Application (NDA).
32. Clinical trial (overview of phases). (2026). Wikipedia.
33. Verma, D. D. S. K. Phase IV trials and post-marketing surveillance. International Journal of Pharmacology and Clinical Research. 2025; 7(2): 207–214.
34. Prabhu, S., and Maanvizhi, S. Pharmacovigilance 2.0. International Journal of Drug Regulatory Affairs. 2025; 13(4).
35. Chew, V., et al. Translational research in hepatocellular carcinoma. Journal of Biomedical Science. 2024; 31: 22.
36. Bridging laboratory innovation to translational research. Biosensors and Bioelectronics. 2025; 282: 117475.
37. Evaluating novel biomarkers for personalized medicine. Diagnostics. 2024; 14(6): 587.
38. Zhang, O., et al. (2025). Graph neural networks in AI-aided drug discovery. arXiv.
39. Recent advances in organ-on-a-chip models. Applied Materials Today. 2024; 38: 102231.
40. CAS. (2025). Latest trends in drug discovery. CAS Insights.