Abstract
The drug discovery process has evolved from a simpler process identifying active ingredients in traditional medications to searching complex and large chemical libraries for specific molecules with identified or predicted drug binding properties. Such progress has only been made possible due to the advancements in Pharmacological sciences including better understanding of structure activity relationships and quantification of molecular interactions. Drug discovery techniques can be broadly divided into ‘in silico’, ‘in vitro’ and ‘in vivo’ techniques. The in silico techniques have made good use of the data available from the human genome project and receptor structure data to predict and simulate molecular level binding and interactions. Hence, they help select potential candidates for preclinical studies from larger chemical libraries in shorter turnaround times than ever before. Various preclinical studies are now conducted in cell lines as miniature assays that further improve the candidate molecule selection process. Having better leads and candidates reduces the risk of failure further down in the drug discovery process saving money and time. The following chapter discusses some of these assays that are routinely used as a part of the drug discovery process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Batool M, Ahmad B, Choi S. A structure-based drug discovery paradigm. Int J Mol Sci. 2019;20(11):2783. https://doi.org/10.3390/ijms20112783.
Bylund DB, Enna S. Receptor binding assays and drug discovery. Adv Pharmacol. 2018;21–34 https://doi.org/10.1016/bs.apha.2017.08.007.
Dhuri K, Bechtold C, Quijano E, Pham H, Gupta A, Vikram A, Bahal R. Antisense oligonucleotides: an emerging area in drug discovery and development. J Clin Med. 2020;9(6):2004. https://doi.org/10.3390/jcm9062004.
Eder J, Herrling PL. Trends in modern drug discovery. New Approaches to Drug Discovery. 2015;3–22 https://doi.org/10.1007/164_2015_20.
Lu X, Yang H, Chen Y, Li Q, He SY, Jiang X, Feng F, Qu W, Sun H. The development of pharmacophore modeling: generation and recent applications in drug discovery. Curr Pharm Des. 2018;24(29):3424–39. https://doi.org/10.2174/1381612824666180810162944.
Pinzi L, Rastelli G. Molecular docking: shifting paradigms in drug discovery. Int J Mol Sci. 2019;20(18):4331. https://doi.org/10.3390/ijms20184331.
Sacca R, Engle SJ, Qin W, Stock JL, McNeish JD. Genetically engineered mouse models in drug discovery research. Methods Mol Biol. 2009;37–54 https://doi.org/10.1007/978-1-60761-058-8_3.
Wang T, Wu MB, Lin JP, Yang LR. Quantitative structure–activity relationship: promising advances in drug discovery platforms. Expert Opin Drug Discovery. 2015;10(12):1283–300. https://doi.org/10.1517/17460441.2015.1083006.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Paul, A. (2022). Experimental Methodologies Involved in the Discovery of Drugs. In: Lakshmanan, M., Shewade, D.G., Raj, G.M. (eds) Introduction to Basics of Pharmacology and Toxicology. Springer, Singapore. https://doi.org/10.1007/978-981-19-5343-9_1
Download citation
DOI: https://doi.org/10.1007/978-981-19-5343-9_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-5342-2
Online ISBN: 978-981-19-5343-9
eBook Packages: MedicineMedicine (R0)