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Implementation of artificial intelligence for automatic drug design. I. Stepwise computation of the interactive drug-design sequence

✍ Scribed by Alexander A. Cohen; Shimon E. Shatzmiller


Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
742 KB
Volume
15
Category
Article
ISSN
0192-8651

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✦ Synopsis


In this article we represent the development of an artificial-intelligence-based method for the automatic design of valid chemical structures (AISD). The key feature of the proposed algorithm is its ability to mimic many decision-making processes carried by the human drug designer during a design session. The manual drug-design process is analyzed and transformed into a computerized form by associating a weight factor with each term. These weights enable the translation of the drug designer's intution into probabilities that control the flow of the design process. The input required to initiate a design session might be as minimal as the geometry of a previously existed pharmacophoric model, up to the three-dimensional geometry of the host receptor. A design application is demonstrated by the implementation of the proposed algorithm for the design of new potent sweeteners.