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    Lhasa Limited
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    Jun 2016
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Developing expert in silico systems

pdf fileBarber CG;

These slides were presented by Chris Barber at QSAR 2016. 


  • The application of QSAR for the prediction of chemical properties has matured significantly during the past 10 years driven by a number of factors including size and availability of data, improvements in machine-learning techniques and the pressure to reduce in vitro and in vivo testing for reasons of time, cost and the use of animals in testing.
  • This talk will address key questions including ‘what distinguishes an expert system from a statistical one?’, ‘what makes a good expert system?’, ‘how should applicability domains be defined for expert systems?’, ‘how can machine learning enhance an expert system?’ and will be illustrated with recent advances in the expert systems Derek Nexus and Meteor Nexus.

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