Literature DB >> 16055022

How many genomics targets can a portfolio afford?

Ulrich A K Betz1.   

Abstract

The pharmaceutical industry can look back at a history of successful innovations. Although genomics technologies have provided drug discovery pipelines with a plethora of new potential drug targets, solid target validation is crucial to avoiding high attrition rates. Biomarkers for patient stratification and approaches for personalized medicine will further help to reduce the risk associated with new targets. To achieve an overall risk balance, portfolios have to be supplemented with precedented targets, me-too approaches and line extensions of existing drugs. However, capitalizing on genomics investments and working on unprecedented targets is essential for a continuous stream of innovative drugs.

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Year:  2005        PMID: 16055022     DOI: 10.1016/S1359-6446(05)03498-7

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


  8 in total

1.  Structural models in the assessment of protein druggability based on HTS data.

Authors:  Anvita Gupta; Arun Kumar Gupta; Kothandaraman Seshadri
Journal:  J Comput Aided Mol Des       Date:  2009-05-29       Impact factor: 3.686

2.  Money makes the world go round: the pervasiveness of pharmacoeconomics.

Authors:  J M Ritter
Journal:  Br J Clin Pharmacol       Date:  2008-12       Impact factor: 4.335

3.  The case for open-access chemical biology. A strategy for pre-competitive medicinal chemistry to promote drug discovery.

Authors:  Johan Weigelt
Journal:  EMBO Rep       Date:  2009-09       Impact factor: 8.807

Review 4.  Complementary Approaches to Existing Target Based Drug Discovery for Identifying Novel Drug Targets.

Authors:  Suhas Vasaikar; Pooja Bhatia; Partap G Bhatia; Koon Chu Yaiw
Journal:  Biomedicines       Date:  2016-11-21

5.  Drug target discovery by magnetic nanoparticles coupled mass spectrometry.

Authors:  Dandan Xia; Baoling Liu; Xiaowei Xu; Ya Ding; Qiuling Zheng
Journal:  J Pharm Anal       Date:  2020-02-05

Review 6.  Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge.

Authors:  Xuan Xu; Qing-Ye Zhang; Xin-Yi Chu; Yuan Quan; Bo-Min Lv; Hong-Yu Zhang
Journal:  Viruses       Date:  2021-10-20       Impact factor: 5.048

7.  Proteomics Discovery of Disease Biomarkers.

Authors:  Mamoun Ahram; Emanuel F Petricoin
Journal:  Biomark Insights       Date:  2008-06-06

8.  Prediction of potential drug targets based on simple sequence properties.

Authors:  Qingliang Li; Luhua Lai
Journal:  BMC Bioinformatics       Date:  2007-09-20       Impact factor: 3.169

  8 in total

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