Therapeutic Targets: Progress of Their Exploration and Investigation of Their Characteristics
- 1 June 2006
- journal article
- review article
- Published by Elsevier in Pharmacological Reviews
- Vol. 58 (2) , 259-279
- https://doi.org/10.1124/pr.58.2.4
Abstract
Modern drug discovery is primarily based on the search and subsequent testing of drug candidates acting on a preselected therapeutic target. Progress in genomics, protein structure, proteomics, and disease mechanisms has led to a growing interest in and effort for finding new targets and more effective exploration of existing targets. The number of reported targets of marketed and investigational drugs has significantly increased in the past 8 years. There are 1535 targets collected in the therapeutic target database compared with ∼500 targets reported in a 1996 review. Knowledge of these targets is helpful for molecular dissection of the mechanism of action of drugs and for predicting features that guide new drug design and the search for new targets. This article summarizes the progress of target exploration and investigates the characteristics of the currently explored targets to analyze their sequence, structure, family representation, pathway association, tissue distribution, and genome location features for finding clues useful for searching for new targets. Possible “rules” to guide the search for druggable proteins and the feasibility of using a statistical learning method for predicting druggable proteins directly from their sequences are discussed.Keywords
This publication has 116 references indexed in Scilit:
- Principles for modulation of the nuclear receptor superfamilyNature Reviews Drug Discovery, 2004
- Target discovery in metabolic diseaseDrug Discovery Today, 2004
- The multiple orthogonal tools approach to define molecular causation in the validation of druggable targetsDrug Discovery Today, 2004
- The Pfam protein families databaseNucleic Acids Research, 2004
- Clinical Activity of Farnesyl Transferase Inhibitors in Hematologic Malignancies: Possible Mechanisms of ActionLeukemia & Lymphoma, 2004
- G protein-coupled receptors: from ligand identification to drug targetsEmerging Drugs, 2003
- Support Vector Machines for Prediction of Protein Domain Structural ClassJournal of Theoretical Biology, 2003
- Sequence Variations within Protein Families are Linearly Related to Structural VariationsJournal of Molecular Biology, 2002
- Protein domain identification and improved sequence similarity searching using PSI‐BLASTProteins-Structure Function and Bioinformatics, 2002
- Prediction of Human Protein Function from Post-translational Modifications and Localization FeaturesJournal of Molecular Biology, 2002