Predicting Drug Efficacy Using Integrative Models for Chronic Respiratory Diseases
Animal models are vital instruments of the drug discovery process. In addition to assessing the efficacy of candidate molecules, in vivo disease models also help validate the therapeutic potential of molecular targets. Over recent years, several molecules that have shown efficacy in preclinical models of respiratory diseases have failed to translate into new medicines for chronic respiratory conditions such as asthma, chronic obstructive pulmonary disease, and idiopathic pulmonary fibrosis. As such, many scientists have argued that these systems are of limited value; however, we propose that a more careful and thorough approach to the characterization of these models and the interpretation of data generated using these systems would improve their translational utility. Herein, we describe two key elements of our strategy aiming to improve the predictive nature of these models: 1) Novel bioinformatics methods that can be used to identify animal models that best represent specific patient populations; and 2) Innovative physiological techniques that will improve our ability to discover drugs that can restore the functional capacity of lungs damaged during the course of the disease.
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Document Type: Research Article
Publication date: 2013-04-01
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- Inflammation & Allergy - Drug Targets aims to cover all the latest and outstanding developments on the medicinal chemistry, pharmacology, molecular biology, genomics and biochemistry of contemporary molecular targets involved in inflammation and allergy e.g. disease specific proteins, receptors, enzymes, genes. Each issue of the journal contains a series of timely in-depth reviews written by leaders in the field covering a range of current topics on drug targets involved in inflammation and allergy. As the discovery, identification, characterization and validation of novel human drug targets for anti-inflammation and allergy drug discovery continues to grow, this journal has become essential reading for all pharmaceutical scientists involved in drug discovery and development.