Structure design: An artificial intelligence-based method for the design of molecules under geometrical constraints

Alexander A. Cohen, Shimon E. Shatzmiller

Research output: Contribution to journalArticlepeer-review


This study presents an algorithm that implements artificial-intelligence1 1 In the scope of the following study, the term artificial intelligence is used to describe the parameterization and subsequent computation of the decision-making processes involved in drug design. techniques for automated, and site-directed drug design. The aim of the method is to link two or more predetermined functional groups into a sensible molecular structure. The proposed designing process mimics the classical manual design method, in which the drug designer sits in front of the computer screen and with the aid of computer graphics attempts to design the new drug. Therefore, the key principle of the algorithm is the parameterization of some criteria that affect the decision-making process carried out by the drug designer. This parameterization is based on the generation of weighting factors that reflect the knowledge and knowledge-based intuition of the drug designer, and thus add further rationalization to the drug design process. The proposed algorithm has been shown to yield a large variety of different structures, of which the drug designer may choose the most sensible. Performance tests indicate that with the proper set of parameters, the method generates a new structure within a short time.

Original languageEnglish
Pages (from-to)166-173
Number of pages8
JournalJournal of Molecular Graphics
Issue number3
StatePublished - Sep 1993


  • artificial intelligence
  • drug design
  • molecular graphs
  • structure generation


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