Literature DB >> 8941992

Designing molecules with specific properties from intercommunicating hybrid systems.

J Devillers1.   

Abstract

The concept that computers can be creative in designing new molecules is now being actively explored. Our work has been aimed at developing an intercommunicating hybrid system using a genetic algorithm and a backpropagation neural network model for solving the general problem of designing molecules with specific properties. A case study dealing with biodegradation modeling is presented. The usefulness of the intercommunicating hybrid systems in QSAR and drug design is emphasized.

Mesh:

Year:  1996        PMID: 8941992     DOI: 10.1021/ci960022y

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  3 in total

1.  A genetic algorithm for structure-based de novo design.

Authors:  S C Pegg; J J Haresco; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

2.  Genetic algorithm for the design of molecules with desired properties.

Authors:  Stefan Kamphausen; Nils Höltge; Frank Wirsching; Corinna Morys-Wortmann; Daniel Riester; Ruediger Goetz; Marcel Thürk; Andreas Schwienhorst
Journal:  J Comput Aided Mol Des       Date:  2002 Aug-Sep       Impact factor: 3.686

Review 3.  Neural networks as robust tools in drug lead discovery and development.

Authors:  David A Winkler
Journal:  Mol Biotechnol       Date:  2004-06       Impact factor: 2.695

  3 in total

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