Literature DB >> 7608745

PRO-LIGAND: an approach to de novo molecular design. 3. A genetic algorithm for structure refinement.

D R Westhead1, D E Clark, D Frenkel, J Li, C W Murray, B Robson, B Waszkowycz.   

Abstract

Recently, the development of computer programs which permit the de novo design of molecular structures satisfying a set of steric and chemical constraints has become a burgeoning area of research and many operational systems have been reported in the literature. Experience with PRO-LIGAND-the de novo design methodology embodied in our in-house molecular design and simulation system PRO-METHEUS-has suggested that the addition of a genetic algorithm (GA) structure refinement procedure can 'add value' to an already useful tool. Starting with the set of designed molecules as an initial population, the GA can combine features from both high- and low-scoring structures and, over a number of generations, produce individuals of better score than any of the starting structures. This paper describes how we have implemented such a procedure and demonstrates its efficacy in improving two sets of molecules generated by different de novo design projects.

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Year:  1995        PMID: 7608745     DOI: 10.1007/BF00124404

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  29 in total

1.  Computer-aided drug design: getting the best results.

Authors:  J S Dixon
Journal:  Trends Biotechnol       Date:  1992-10       Impact factor: 19.536

2.  Automated site-directed drug design using molecular lattices.

Authors:  R A Lewis; D C Roe; C Huang; T E Ferrin; R Langridge; I D Kuntz
Journal:  J Mol Graph       Date:  1992-06

3.  Computer design of bioactive molecules: a method for receptor-based de novo ligand design.

Authors:  J B Moon; W J Howe
Journal:  Proteins       Date:  1991

4.  Confirmation of usefulness of a structure construction program based on three-dimensional receptor structure for rational lead generation.

Authors:  Y Nishibata; A Itai
Journal:  J Med Chem       Date:  1993-10-01       Impact factor: 7.446

5.  HOOK: a program for finding novel molecular architectures that satisfy the chemical and steric requirements of a macromolecule binding site.

Authors:  M B Eisen; D C Wiley; M Karplus; R E Hubbard
Journal:  Proteins       Date:  1994-07

6.  SPROUT: recent developments in the de novo design of molecules.

Authors:  V J Gillet; W Newell; P Mata; G Myatt; S Sike; Z Zsoldos; A P Johnson
Journal:  J Chem Inf Comput Sci       Date:  1994 Jan-Feb

7.  PRO_LIGAND: an approach to de novo molecular design. 2. Design of novel molecules from molecular field analysis (MFA) models and pharmacophores.

Authors:  B Waszkowycz; D E Clark; D Frenkel; J Li; C W Murray; B Robson; D R Westhead
Journal:  J Med Chem       Date:  1994-11-11       Impact factor: 7.446

8.  Automated molecular design: a new fragment-joining algorithm.

Authors:  A R Leach; S R Kilvington
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

9.  De novo protein design using pairwise potentials and a genetic algorithm.

Authors:  D T Jones
Journal:  Protein Sci       Date:  1994-04       Impact factor: 6.725

10.  Characterisation of the solution conformation of a cyclic RGD peptide analogue by NMR spectroscopy allied with a genetic algorithm approach and constrained molecular dynamics.

Authors:  P N Sanderson; R C Glen; A W Payne; B D Hudson; C Heide; G E Tranter; P M Doyle; C J Harris
Journal:  Int J Pept Protein Res       Date:  1994-06
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  14 in total

1.  A genetic algorithm for the automated generation of small organic molecules: drug design using an evolutionary algorithm.

Authors:  D Douguet; E Thoreau; G Grassy
Journal:  J Comput Aided Mol Des       Date:  2000-07       Impact factor: 3.686

2.  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

3.  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

4.  Development and testing of a de novo drug-design algorithm.

Authors:  Eric Pellegrini; Martin J Field
Journal:  J Comput Aided Mol Des       Date:  2003-10       Impact factor: 3.686

Review 5.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

6.  PRO_SELECT: combining structure-based drug design and combinatorial chemistry for rapid lead discovery. 1. Technology.

Authors:  C W Murray; D E Clark; T R Auton; M A Firth; J Li; R A Sykes; B Waszkowycz; D R Westhead; S C Young
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

7.  PRO_LIGAND: an approach to de novo molecular design. 4. Application to the design of peptides.

Authors:  D Frenkel; D E Clark; J Li; C W Murray; B RObson; B Waszkowycz; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

8.  PRO-LIGAND: an approach to de novo molecular design. 1. Application to the design of organic molecules.

Authors:  D E Clark; D Frenkel; S A Levy; J Li; C W Murray; B Robson; B Waszkowycz; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1995-02       Impact factor: 3.686

9.  PRO_LIGAND: an approach to de novo molecular design. 6. Flexible fitting in the design of peptides.

Authors:  C W Murray; D E Clark; D G Byrne
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

10.  Thrombin inhibitors identified by computer-assisted multiparameter design.

Authors:  Daniel Riester; Frank Wirsching; Gabriela Salinas; Martina Keller; Michael Gebinoga; Stefan Kamphausen; Christian Merkwirth; Ruediger Goetz; Martin Wiesenfeldt; Jörg Stürzebecher; Wolfram Bode; Rainer Friedrich; Marcel Thürk; Andreas Schwienhorst
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-03       Impact factor: 11.205

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