Literature DB >> 21605697

To measure is to know: an approach to CADD performance metrics.

Deborah Loughney1, Brian L Claus, Stephen R Johnson.   

Abstract

With the financial and productivity challenges currently facing the pharmaceutical industry, there is constant pressure to justify resources and improve efficiency. With process-driven activities, understanding the contribution of these resources is reasonably straightforward. By contrast, measuring the contribution of knowledge workers is less obvious. Here, we present an impact-oriented approach to assessing the performance of an industrial computer-assisted drug design group. We discuss how these metrics are used to understand and optimize resource allocation in support of drug discovery programs.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21605697     DOI: 10.1016/j.drudis.2011.05.003

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


  5 in total

1.  Computer-aided molecular design under the SWOTlight.

Authors:  Darren V S Green; Andrew R Leach; Martha S Head
Journal:  J Comput Aided Mol Des       Date:  2011-12-15       Impact factor: 3.686

Review 2.  Chemical predictive modelling to improve compound quality.

Authors:  John G Cumming; Andrew M Davis; Sorel Muresan; Markus Haeberlein; Hongming Chen
Journal:  Nat Rev Drug Discov       Date:  2013-12       Impact factor: 84.694

3.  The evolution of drug design at Merck Research Laboratories.

Authors:  Frank K Brown; Edward C Sherer; Scott A Johnson; M Katharine Holloway; Bradley S Sherborne
Journal:  J Comput Aided Mol Des       Date:  2016-11-23       Impact factor: 3.686

4.  Computer-aided drug design at Boehringer Ingelheim.

Authors:  Ingo Muegge; Andreas Bergner; Jan M Kriegl
Journal:  J Comput Aided Mol Des       Date:  2016-09-20       Impact factor: 3.686

5.  GPU Accelerated Quantum Virtual Screening: Application for the Natural Inhibitors of New Dehli Metalloprotein (NDM-1).

Authors:  Mingsong Shi; Dingguo Xu; Jun Zeng
Journal:  Front Chem       Date:  2018-11-20       Impact factor: 5.221

  5 in total

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