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Computer-Aided Drug Design in Industry: A Summary of Perspectives

  • R. Franke
  • E. C. Herrmann
Conference paper
Part of the Ernst Schering Research Foundation Workshop book series (SCHERING FOUND, volume 15)

Abstract

Based on the discussions and, in particular, a general discussion held at the end of the workshop this final chapter summarizes questions, views, and conclusions relating to the following topics:
  1. 1.

    Effectiveness/impact of computer-aided drug design (CADD) in industrial drug discovery projects

     
  2. 2.

    Contributions of CADD groups to drug discovery

     
  3. 3.

    Conditions supporting/prohibiting useful contributions from CADD groups in industry

     
  4. 4.

    The role of CADD in combination with combinatorial chemistry and high throughput screening

     
There was general agreement that CADD has developed into an indispensable tool (or, rather, toolbox) in modern drug research or in the search for new agrochemical agents which is well integrated in drug discovery chemistry. It seems, however, that it is very difficult, if not impossible, to find objective or quantitative measures of the practical impact of CADD. The main reason is that drug research is a multidisciplinary field and that the success of a drug discovery project depends on a variety of factors, among which CADD is only one; the individual contributions of these factors cannot be separated straightforwardly in real life situations.

Keywords

Drug Discovery High Throughput Screening Synthetic Chemist Drug Discovery Process Chemometric Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • R. Franke
  • E. C. Herrmann

There are no affiliations available

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