Skip to content
2000
  • ISSN: 1568-0150
  • E-ISSN: 1875-6158

Abstract

Since the early nineties the number of scientific papers dealing with the applications of artificial neural networks (ANNs) in medicinal chemistry and medicine fields has been dramatically increasing. In this review, the applications of artificial neural networks in QSAR, concerning the classification or prediction of a biological activity, conformation searching, receptor docking and molecular design, are reviewed over the last five years. The different models of neural network used, the selection of descriptors, the comparison of results obtained by employing ANNs and other computational methods in QSAR studies, are commented. An overview of the new computer program (CODES) to generate molecular descriptors by encoding organic molecules, which are useful inputs of neural networks, is provided.

Loading

Article metrics loading...

/content/journals/cmccnsa/10.2174/1568015013358419
2001-11-01
2025-05-24
Loading full text...

Full text loading...

/content/journals/cmccnsa/10.2174/1568015013358419
Loading

  • Article Type:
    Review Article
Keyword(s): artificial neural networks (ANNs); computer program (CODES
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test