Literature DB >> 12634012

Delivering the power of discovery in large pharmaceutical organizations.

Tim Peakman1, Steven Franks, Colm White, Mark Beggs.   

Abstract

Increasing the output from discovery is currently a major objective for the pharmaceutical industry aimed at reversing recent downward trends in productivity. Although significant attention has been focused on innovative assay and process technologies, these only address specific points in the discovery process. Little effort has been made to manage the multiple interconnected steps within discovery effectively. This manifests itself in low utilization rates of component elements and low expectations of delivery to any agreed timescale.

Mesh:

Year:  2003        PMID: 12634012     DOI: 10.1016/s1359-6446(03)02612-6

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


  5 in total

Review 1.  Strategic challenges in neurotherapeutic pharmaceutical development.

Authors:  Christopher C Gallen
Journal:  NeuroRx       Date:  2004-01

2.  ADAAPT: Amgen's data access, analysis, and prediction tools.

Authors:  Sung Jin Cho; Yaxiong Sun; William Harte
Journal:  J Comput Aided Mol Des       Date:  2006-06-21       Impact factor: 3.686

3.  Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification.

Authors:  Pedro J Ballester; Martina Mangold; Nigel I Howard; Richard L Marchese Robinson; Chris Abell; Jochen Blumberger; John B O Mitchell
Journal:  J R Soc Interface       Date:  2012-08-29       Impact factor: 4.118

4.  Prospective virtual screening with Ultrafast Shape Recognition: the identification of novel inhibitors of arylamine N-acetyltransferases.

Authors:  Pedro J Ballester; Isaac Westwood; Nicola Laurieri; Edith Sim; W Graham Richards
Journal:  J R Soc Interface       Date:  2009-07-08       Impact factor: 4.118

5.  poolHiTS: a shifted transversal design based pooling strategy for high-throughput drug screening.

Authors:  Raghunandan M Kainkaryam; Peter J Woolf
Journal:  BMC Bioinformatics       Date:  2008-05-30       Impact factor: 3.169

  5 in total

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