Lhasa Limited shared knowledge shared progress
  • Highlighted Item:
  • Publisher:
    Lhasa Limited
  • Publication Date:
    Jun 2016
  • Reference:
  • DOI:
  • PMID:
  • Publication Type:
  • Related Products:
  • Scientific Area:
  • Endpoint:
  • Industry Type:
  • Related event:

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.

© 2020 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

Thanks to QuestionPro's generosity, we now have survey software that powers our data intelligence.