Author(s)

Taofik Ahmed Suleiman^1,2,3*, Ann Christopher Francis⁴, Abdulwasiu Ibrahim⁵, Adedoyin Owolade Jonn-Joy⁶, Ebenezer Adebiyi⁷, Daniel Tweneboah Anyimadu^1,2,3

¹Department of Medical Imaging and Computing, University of Girona, Girona, Spain.
²Graduate School of Science and Technology, Medical Imaging and Applications (MAIA), University of Burgundy, Le Creusot, France.
³Department of Electrical and Information Engineering, MAIA, University of Cassino and Southern Lazio, Cassino, Italy.
⁴Department of Biotechnology, University of Texas at Tyler Health Science Center, Tyler, USA.
⁵Department of Biochemistry and Molecular Biology, Usman Danfodiyo University, Sokoto, Nigeria.
⁶Department of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria.
⁷Department of Chemistry, Federal University of Technology Akure, Akure, Nigeria.

The application of biotechnology in drug discovery has been discovered to be a promising and resourceful approach for the discovery of novel therapeutic candidates that comes with less time and cost than the traditional ways of drug discovery. This has additionally endowed researchers with the necessary understanding of diseases, which offers exceptional methods for treating patients. Additionally, diagnosis and treatment are becoming increasingly intertwined with the help of biotechnology. Today, researchers in biotechnology deal with the root of diseases and find solutions through therapeutic agents, hence, improving quality of life. The discovery of drugs in recent days is practically challenging without good modeling in biotechnology, this wonderful technique is now being adopted in the discovery of new and effective classes of drugs which include but are not limited to gene therapy, cancer vaccines, proteins, and even enzymes. In this current review, we review the efforts so far in the usage of this approach in drug discovery. The review targets the biotechnological application and design implementation in drug discovery. It explains the use of proteins, genes, in-silico, and stem cells in designing models for enhanced drug discovery, the chemical similarity network for drug discovery, and future recommendations on the integration of AI in biotechnology.

Drug Discovery, Biotechnology, Diseases, Genes, Protein, In-Silico, Stem Cells, mRNA, DNA

Suleiman, T.A., Francis, A.C., Ibrahim, A., Jonn-Joy, A.O., Adebiyi, E. and Anyimadu, D.T. (2023) Biotechnological Drug Development—The Role of Proteins, Genes, In-Silico, and Stem Cells in Designing Models for Enhanced Drug Discovery. Open Access Library Journal, 10, 1-20. doi: 10.4236/oalib.1110520.