Literature DB >> 14526387

Quest for the best.

Bruce Booth1, Rodney Zemmel.   

Abstract

By combining innovative science with years of massive investment, drug makers seek to turn newly discovered chemicals into revolutionary blockbuster drugs that generate billions of dollars in revenue. So every year, they collectively spend tens of billions of dollars on the high-risk pursuit of the next Prozac or Viagra. But should they? This article analyses key themes around differentiation that we have found to be common among blockbusters, and examines the implications for creating future billion-dollar drugs.

Mesh:

Year:  2003        PMID: 14526387     DOI: 10.1038/nrd1203

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  6 in total

1.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

2.  Bioinformatic Analysis of the Perilymph Proteome to Generate a Human Protein Atlas.

Authors:  Alina van Dieken; Hinrich Staecker; Heike Schmitt; Jennifer Harre; Andreas Pich; Willi Roßberg; Thomas Lenarz; Martin Durisin; Athanasia Warnecke
Journal:  Front Cell Dev Biol       Date:  2022-04-28

3.  PROMISCUOUS: a database for network-based drug-repositioning.

Authors:  Joachim von Eichborn; Manuela S Murgueitio; Mathias Dunkel; Soeren Koerner; Philip E Bourne; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2010-11-10       Impact factor: 16.971

4.  Phosphodiesterase 5 (PDE5) Is Highly Expressed in Cancer-Associated Fibroblasts and Enhances Breast Tumor Progression.

Authors:  Stefania Catalano; Salvatore Panza; Giuseppina Augimeri; Cinzia Giordano; Rocco Malivindi; Luca Gelsomino; Stefania Marsico; Francesca Giordano; Balázs Győrffy; Daniela Bonofiglio; Sebastiano Andò; Ines Barone
Journal:  Cancers (Basel)       Date:  2019-11-06       Impact factor: 6.639

Review 5.  The current state of drug discovery and a potential role for NMR metabolomics.

Authors:  Robert Powers
Journal:  J Med Chem       Date:  2014-03-03       Impact factor: 7.446

6.  Discovery of novel therapeutic properties of drugs from transcriptional responses based on multi-label classification.

Authors:  Lingwei Xie; Song He; Yuqi Wen; Xiaochen Bo; Zhongnan Zhang
Journal:  Sci Rep       Date:  2017-08-02       Impact factor: 4.379

  6 in total

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