Asian Journal of Biomedical and Pharmaceutical Sciences

Reach Us +1 (202) 780-3397

Opinion Article - Asian Journal of Biomedical and Pharmaceutical Sciences (2024) Volume 14, Issue 106

The intersection of pharmaceutical science and biomedical science: advancements in drug discovery and development.

Alberto Morano *

Department of Medical Oncology, University of Tumori, Italy

*Corresponding Author:
Alberto Morano
Department of Medical Oncology, University of Tumori, Italy
E-mail: Alberto@Morano.it

Received: 01-July-2024, Manuscript No. AABPS-24-147394; Editor assigned: 02-July-2024, PreQC No. AABPS-24-147394 (PQ); Reviewed: 15-July-2024, QC No. AABPS-24-147394; Revised: 19-July-2024, Manuscript No. AABPS-24-147394(R); Published: 26-July-2024, DOI: 10.35841/aabps-14.106.250

Citation: : Morano A. The intersection of pharmaceutical science and biomedical science: advancements in drug discovery and development. Asian J Biomed Pharm Sci. 2024;14(106):250

Introduction

The fusion of pharmaceutical science and biomedical science has brought about groundbreaking innovations in drug discovery and development [1]. As both fields evolve with technological advances and a deeper understanding of biology, the opportunities to develop more effective, personalized treatments have expanded. Pharmaceutical science focuses on the discovery, development, and testing of new drugs, as well as the study of their effects on the human body [2] [1, 2].

Biomedical science, on the other hand, encompasses a broad range of fields aimed at understanding the mechanisms of diseases and developing therapies based on this understanding. Together, these disciplines form the backbone of modern healthcare by translating basic biological research into clinically effective treatments. Biomedical research has revolutionized the early stages of drug discovery [3]. Researchers use techniques such as molecular biology, genetics, and bioinformatics to identify novel drug targets. With the advent of technologies like CRISPR and next-generation sequencing, scientists can better understand the genetic and molecular underpinnings of diseases, leading to the identification of key pathways and proteins that can be targeted with new therapies [4] [3, 4].

Once a potential drug target has been identified through biomedical research, pharmaceutical scientists work on developing molecules that can interact with these targets effectively [5]. This process involves optimizing the chemical structure of drugs, ensuring stability, and determining the ideal dosage forms. Pharmaceutical science also plays a key role in preclinical and clinical trials, evaluating the safety, efficacy, and pharmacokinetics of new drugs [6] [5, 6].

Personalized medicine, which tailors treatments based on a patient’s genetic makeup, is a prime example of how the collaboration between pharmaceutical and biomedical sciences can benefit patients [7]. Advances in genomic technologies enable the identification of genetic variations that affect how individuals respond to certain drugs. This information allows pharmaceutical scientists to design more precise treatments with fewer side effects, improving patient outcomes [8] [7, 8 ].

Despite the progress, challenges remain in bridging the gap between the laboratory and the clinic. Issues such as drug resistance, long development timelines, and regulatory hurdles continue to pose obstacles [9]. However, ongoing research in areas like nanotechnology, biologics, and artificial intelligence holds promise for overcoming these challenges [10] [9, 10].

Conclusion

The integration of pharmaceutical and biomedical sciences is crucial for the development of innovative, effective therapies. As these fields continue to evolve, the future holds immense potential for breakthroughs in the treatment of diseases, ultimately improving global health outcomes.

References

  1. Husnain A, Rasool S, Saeed A, Hussain HK. Revolutionizing pharmaceutical research: harnessing machine learning for a paradigm shift in drug discovery.IJMRAST. 2023;2(2):149-57.
  2. Indexed at, Google Scholar, Cross Ref

  3. Sharma N, Ojha H, Raghav P, et al. Chemoinformatics and bioinformatics in the pharmaceutical sciences. AP; 2021.
  4. Google Scholar

  5. Mak KK, Wong YH, Pichika MR. Artificial intelligence in drug discovery and development. Drug Discovery and Evaluation. 2023:1-38.
  6. Google Scholar

  7. Niazi SK, Mariam Z. Computer-aided drug design and drug discovery: a prospective analysis. Pharmaceuticals (Basel). 2023;17(1):22.
  8. Indexed at, Google Scholar, Cross Ref

  9. Hudson IL. Data integration using advances in machine learning in drug discovery and molecular biology. Methods Mol Biol. 2021:167-84.
  10. Indexed at, Google Scholar, Cross Ref

  11. Thompson DC, Bentzien J. Crowdsourcing and open innovation in drug discovery: recent contributions and future directions. Drug Discov Today. 2020;25(12):2284-93.
  12. Indexed at, Google Scholar, Cross Ref

  13. Singh S, Kumar R, Payra S, et al. Artificial intelligence and machine learning in pharmacological research: bridging the gap between data and drug discovery. Cureus. 2023;15(8).
  14. Google Scholar

  15. Starokozhko V, Kallio M, Salmi AM, et al. Strengthening regulatory science in academia: STARS, an EU initiative to bridge the translational gap. Drug Discov Today. 2021;26(2):283-8.
  16. Indexed at, Google Scholar, Cross Ref

  17. Palit S, Hussain CM. Nanodevices applications and recent advancements in nanotechnology and the global pharmaceutical industry. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2020:395-415.
  18. Indexed at, Google Scholar, Cross Ref

  19. Panda PK, Verma SK, Suar M. Nanoparticle–biological interactions: the renaissance of bionomics in the myriad nanomedical technologies. Nanomedicine (Lond). 2021;16(25):2249-54.
  20. Indexed at, Google Scholar, Cross Ref

Get the App