Abstract
Drug target identification is the first stride in the drug discovery progression. However, traditional drug discovery methods are laborious, lavish, and often produce few drug targets. In contrast, advances in complete genome sequencing, bioinformatics, and cheminformatics epitomize a striking substitute approach to identify drug targets commendable of experimental sequel. Ever since of the availability of both pathogen and host–genome sequences, it has become difficult to identify drug targets at the genomic level for any given pathogen.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Stumm G, Russ A, Nehls M (2002) Deductive genomics: a functional approach to identify innovative drug targets in the post-genome era. Am J Pharmacogenomics 2(4):263–271
Kanehisa M, Goto S, Furumichi M, Tanabe M, Hirakawa M (2010) KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res 38(Database issue):D355–D360
Lacchia A, Di Giovanni C (2013) Virtual screening strategies in drug discovery: a critical review. Curr Med Chem 20(23):2839–2860
Keller TH, Pichota A, Yin Z (2006) A practical view of ‘druggability’. Curr Opin Chem Biol 10(4):357–361
Kanehisa M, Goto S, Hattori M et al (2006) From genomics to chemical genomics: new developments in KEGG. Nucleic Acids Res 34(Database issue):D354–D357
Hecker N, Ahmed J, von Eichborn J et al (2012) Super Target goes quantitative: update on drug-target interactions. Nucleic Acids Res 40(Database issue):D1113–D1117
Lambert C, Leonard N, De Bolle X, Depiereux E (2002) ESyPred3D: prediction of proteins 3D structures. Bioinformatics 18(9):1250–1256
Laskowski RA, MacArthur MW, Moss DS, Thornton JM (1993) PROCHECK: a program to check the stereochemical quality of protein structures. J Appl Cryst 26:283–291
Guex N, Peitsch MC (1997) SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling. Electrophoresis 18(15):2714–2727
Aguero F, Al-Lazikani B, Aslett M et al (2008) Genomic-scale prioritization of drug targets: the TDR Targets database. Nat Rev Drug Discov 7(11):900–907
Cheng AC, Coleman RG, Smyth KT et al (2007) Structure-based maximal affinity model predicts small-molecule druggability. Nat Biotechnol 25(1):71–75
Holman AG, Davis PJ, Foster JM, Carlow CK, Kumar S (2009) Computational prediction of essential genes in an unculturable endosymbiotic bacterium, Wolbachia of Brugiamalayi. BMC Microbiol 9:243
Ren J, Xie L, Li WW, Bourne PE (2010) SMAP-WS: a parallel web service for structural proteome-wide ligand-binding site comparison. Nucleic Acids Res 38(Web Server issue):W441–W444
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Joseph, J., Manikkam, R., Kaari, M., Venugopal, G., Shamya, M., Aruni, W. (2022). Methods of Identification and Validation of Drug Target. In: Dharumadurai, D. (eds) Methods in Actinobacteriology. Springer Protocols Handbooks. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1728-1_41
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1728-1_41
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-1727-4
Online ISBN: 978-1-0716-1728-1
eBook Packages: Springer Protocols