INTERDISCIPLINARY APPROACHES IN BIOLOGY AND PHARMACY: FROM MOLECULAR GENETICS TO DRUG DEVELOPMENT
Abstract
Interdisciplinary approaches in biology and pharmacy were examined in this study with emphasis on the contribution of molecular genetics to drug development. A quantitative research design was adopted using a descriptive and analytical survey method. Data were collected from 150 respondents drawn from biology, pharmacy, biotechnology, biochemistry, molecular genetics, pharmacology, bioinformatics, and related life science disciplines through a structured questionnaire.
The independent variables included molecular genetics, bioinformatics, pharmacogenomics nanotechnology, biochemistry, immunobiology, and pharmaceutical formulation approaches, while drug development advancement served as the dependent variable. Data were analyzed using Python through descriptive statistics, correlation analysis, an regression analysis. The findings showed high awareness of interdisciplinary research among respondents, with molecular genetics recording the highest mean score of 4.34 ± 0.61. Positive correlations were observed between drug development
advancement and molecular genetics, pharmacogenomics, bioinformatics, nanotechnology, pharmaceutics, biochemistry, and immunobiology. Molecular genetics showed the strongest association with drug development advancement, followed by pharmacogenomics and bioinformatics. Regression analysis indicated that selected interdisciplinary variables jointly explained 61.0% of the variation in drug development advancement. The study concludes that integrating biological and
pharmaceutical sciences strengthens drug discovery, personalized medicine, targeted drug delivery, drug safety, and therapeutic innovation.
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Carss, K. J., Deaton, A. M., Del Rio-Espinola, A., Diogo, D., Fielden, M., Kulkarni, D. A., ... & Yuan, J. (2023). Using
human genetics to improve the safety assessment of therapeutics. Nature Reviews Drug Discovery, 22(2), 145-162.
Cheng, X., Xie, Q., & Sun, Y. (2023). Advances in nanomaterial-based targeted drug delivery systems. Frontiers in
bioengineering and biotechnology, 11, 1177151.
Du, L., Geng, C., Zeng, Q., Huang, T., Tang, J., Chu, Y., & Zhao, K. (2023). Dockery: a modern integrated tool for
large-scale molecular docking and virtual screening. Briefings in Bioinformatics, 24(2), bbad047.
Ezike, T. C., Okpala, U. S., Onoja, U. L., Nwike, C. P., Ezeako, E. C., Okpara, O. J., ... & Nwanguma, B. C. (2023).
Advances in drug delivery systems, challenges and future directions. Heliyon, 9(6).
Genome Aggregation Database Consortium. (2020). The mutational constraint spectrum quantified from variation in
,456 humans. Nature, 581(7809), 434-443.
Ghoussaini, M., Nelson, M. R., & Dunham, I. (2023). Prospects for human genetics and genomics in drug
discovery. Current opinion in structural biology, 80, 102568.
Ginsburg, G. S., & Phillips, K. A. (2018). Precision medicine: from science to value. Health affairs, 37(5), 694-701.
Gromova, M., Vaggelas, A., Dallmann, G., & Seimetz, D. (2020). Biomarkers: opportunities and challenges for drug
development in the current regulatory landscape. Biomarker Insights, 15, 1177271920974652.
Jarada, T. N., Rokne, J. G., & Alhajj, R. (2020). A review of computational drug repositioning: strategies, approaches,
opportunities, challenges, and directions. Journal of cheminformatics, 12(1), 46.
Kabbani, D., Akika, R., Wahid, A., Daly, A. K., Cascorbi, I., & Zgheib, N. K. (2023). Pharmacogenomics in practice:
a review and implementation guide. Frontiers in pharmacology, 14, 1189976.
Pandiella, A., Calvo, E., Moreno, V., Amir, E., Templeton, A., & Ocana, A. (2023). Considerations for the clinical
development of immuno-oncology agents in cancer. Frontiers in immunology, 14, 1229575.
Patra, J. K., Das, G., Fraceto, L. F., Campos, E. V. R., Rodriguez-Torres, M. D. P., Acosta-Torres, L. S., ... & Shin, H.
S. (2018). Nano based drug delivery systems: recent developments and prospects. Journal of
nanobiotechnology, 16(1), 71.
Pirmohamed, M. (2023). Pharmacogenomics: current status and future perspectives. Nature Reviews Genetics, 24(6),
-362.
Pushpakom, S., Iorio, F., Eyers, P. A., Escott, K. J., Hopper, S., Wells, A., ... & Pirmohamed, M. (2019). Drug
repurposing: progress, challenges and recommendations. Nature reviews Drug discovery, 18(1), 41-58.
Pushpakom, S., Iorio, F., Eyers, P. A., Escott, K. J., Hopper, S., Wells, A., ... & Pirmohamed, M. (2019). Drug
repurposing: progress, challenges and recommendations. Nature reviews Drug discovery, 18(1), 41-58.
Sadybekov, A. V., & Katritch, V. (2023). Computational approaches streamlining drug discovery. Nature, 616(7958),
-685.
Stokes, J. M., Yang, K., Swanson, K., Jin, W., Cubillos-Ruiz, A., Donghia, N. M., ... & Collins, J. J. (2020). A deep
learning approach to antibiotic discovery. Cell, 180(4), 688-702.
Torres, P. H., Sodero, A. C., Jofily, P., & Silva-Jr, F. P. (2019). Key topics in molecular docking for drug
design. International journal of molecular sciences, 20(18), 4574.
Vamathevan, J., Clark, D., Czodrowski, P., Dunham, I., Ferran, E., Lee, G., ... & Zhao, S. (2019). Applications of
machine learning in drug discovery and development. Nature reviews Drug discovery, 18(6), 463-477.
Wong, C. H., Siah, K. W., & Lo, A. W. (2019). Estimation of clinical trial success rates and related
parameters. Biostatistics, 20(2), 273-286.
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