ChemQuest has experience in providing training in QSAR and multivariate methods for chemists with various levels of experience. Courses can be tailored to your needs, ChemQuest calling on other experts if required. A range of topics can be covered, for example -
  • compound selection
  • regression analysis
  • multivariate methods
  • data display
  • multiple response data

Training is available for groups or individuals, either at your site or at ChemQuest. Training modules (listed below) typically take the form of a 30-45 minute lecture followed by a workshop where delegates can explore the methods just described. A workshop lasts approximately 1.5 hours and can be run for all of the modules except those marked with a *. The workshops are based on Minitab (Minitab, Inc.), Simca (Umetri, AB), and/or Paragon (Centre for Molecular Design, University of Portsmouth, UK). Demo copies of these programs are available. Typically four to five modules can be run in a day; brief contents lists are available separately for these modules.

Please contact us to discuss your training requirements.

In addition to customer specific training, David Livingstone has been involved in a number of courses, for example -

  • DJL has lectured on M.Sc. and B.Sc. courses in medicinal chemistry, toxicology, and pharmacy.
  • DJL was the course organizer of the first Royal Society of Chemistry Residential School in QSAR (November 1994); he also lectured and demonstrated on the course.
  • DJL has taught the QSAR element of a molecular modelling course at the University of Cambridge Centre for Molecular Recognition (April 1992, March 1994).
  • DJL was a course tutor on a Multivariate Analysis workshop (November 1988) organised by the Society of Chemical Industry.
pictorial representation of the relationship between data vectors and principal components


ChemQuest - List of Training Modules

  1. *QSAR Philosophy/History
  2. Chemical Properties¹
  3. Correlation and Simple Linear Regression
  4. Compound Selection (experimental design)
  5. Compound Selection (experimental design)
  6. Principal Component and Factor Analysis
  7. Data Display
  8. Principal Components Regression & PLS
  9. Classified Data
  10. Cluster Analysis
  11. 3D QSAR¹
  12. Genetic Algorithms¹
  13. *Case Studies
  14. *Chemical Similarity/ Molecular Diversity
  15. Neural Networks

¹For onsite training, these modules require other software.

Training services

Books
Book chapters
Selected papers
Drug discovery
Property predict
Toxicity
Suggestion
Multivariate stats
All papers
QSAR
Neural nets
Experim't design
ChemQuest has experience in all areas of CAMD
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