Literature DB >> 21402166

The role of translational bioinformatics in drug discovery.

Natalie S Buchan1, Deepak K Rajpal, Yue Webster, Carlos Alatorre, Ranga Chandra Gudivada, Chengyi Zheng, Philippe Sanseau, Jacob Koehler.   

Abstract

The application of translational approaches (e.g. from bed to bench and back) is gaining momentum in the pharmaceutical industry. By utilizing the rapidly increasing volume of data at all phases of drug discovery, translational bioinformatics is poised to address some of the key challenges faced by the industry. Indeed, computational analysis of clinical data and patient records has informed decision-making in multiple aspects of drug discovery and development. Here, we review key examples of translational bioinformatics approaches to emphasize its potential to enhance the quality of drug discovery pipelines, reduce attrition rates and, ultimately, lead to more effective treatments.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21402166     DOI: 10.1016/j.drudis.2011.03.002

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  11 in total

1.  Translational informatics: an industry perspective.

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2.  Integration of Molecular, Cellular and Translational Researches in BioImpacts.

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7.  A simple assay to screen antimicrobial compounds potentiating the activity of current antibiotics.

Authors:  Junaid Iqbal; Ruqaiyyah Siddiqui; Shahana Urooj Kazmi; Naveed Ahmed Khan
Journal:  Biomed Res Int       Date:  2013-06-20       Impact factor: 3.411

Review 8.  Computational approaches in target identification and drug discovery.

Authors:  Theodora Katsila; Georgios A Spyroulias; George P Patrinos; Minos-Timotheos Matsoukas
Journal:  Comput Struct Biotechnol J       Date:  2016-05-07       Impact factor: 7.271

9.  How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective.

Authors:  Lei Wang; ChienWei Chiang; Hong Liang; Hengyi Wu; Weixing Feng; Sara K Quinney; Jin Li; Lang Li
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

10.  Opportunities for Web-based Drug Repositioning: Searching for Potential Antihypertensive Agents with Hypotension Adverse Events.

Authors:  Kejian Wang; Mei Wan; Rui-Sheng Wang; Zuquan Weng
Journal:  J Med Internet Res       Date:  2016-04-01       Impact factor: 5.428

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