Literature DB >> 7815098

Current methods for site-directed structure generation.

R A Lewis1, A R Leach.   

Abstract

There has been a rapid growth of interest in techniques for site-directed drug design, fueled by the increasing availability of structural models of proteins of therapeutic importance, and by studies reported in the literature showing that potent chemical leads can be obtained by these techniques. Structure generation programs offer the prospect of discovering highly original lead structures from novel chemical families. Due to the fact that this technique is more-or-less still in its infancy, there are no case studies available that demonstrate the use of structure generation programs for site-directed drug design. Such programs were first proposed in 1986, and became commercially available in early 1992. They have shown their ability to reproduce, or suggest reasonable alternatives for, ligands in well-defined binding sites. This brief review will discuss the recent advances that have been made in the field of site-directed structure generation.

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Year:  1994        PMID: 7815098     DOI: 10.1007/bf00125381

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


  26 in total

Review 1.  Structure-based strategies for drug design and discovery.

Authors:  I D Kuntz
Journal:  Science       Date:  1992-08-21       Impact factor: 47.728

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

Review 3.  3D database searching in drug design.

Authors:  Y C Martin
Journal:  J Med Chem       Date:  1992-06-12       Impact factor: 7.446

4.  A method for automatic generation of novel chemical structures and its potential applications to drug discovery.

Authors:  R Nilakantan; N Bauman; R Venkataraghavan
Journal:  J Chem Inf Comput Sci       Date:  1991-11

5.  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

6.  Automated site-directed drug design: the prediction and observation of ligand point positions at hydrogen-bonding regions on protein surfaces.

Authors:  D J Danziger; P M Dean
Journal:  Proc R Soc Lond B Biol Sci       Date:  1989-03-22

7.  Docking flexible ligands to macromolecular receptors by molecular shape.

Authors:  R L DesJarlais; R P Sheridan; J S Dixon; I D Kuntz; R Venkataraghavan
Journal:  J Med Chem       Date:  1986-11       Impact factor: 7.446

8.  An investigation into the construction of molecular models by the template joining method.

Authors:  A R Leach; K Prout; D P Dolata
Journal:  J Comput Aided Mol Des       Date:  1988-07       Impact factor: 3.686

9.  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

10.  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

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  12 in total

1.  Combinatorial docking and combinatorial chemistry: design of potent non-peptide thrombin inhibitors.

Authors:  H J Böhm; D W Banner; L Weber
Journal:  J Comput Aided Mol Des       Date:  1999-01       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.  A new method for estimating the importance of hydrogen-bonding groups in the binding site of a protein.

Authors:  Matthew D Kelly; Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

Review 4.  Prediction of binding constants of protein ligands: a fast method for the prioritization of hits obtained from de novo design or 3D database search programs.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

5.  A branch-and-bound method for optimal atom-type assignment in de novo ligand design.

Authors:  N P Todorov; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

6.  Placement of medium-sized molecular fragments into active sites of proteins.

Authors:  M Rarey; S Wefing; T Lengauer
Journal:  J Comput Aided Mol Des       Date:  1996-02       Impact factor: 3.686

7.  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

8.  Evaluation of a method for controlling molecular scaffold diversity in de novo ligand design.

Authors:  N P Todorov; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

9.  A genetic algorithm for the automated generation of molecules within constraints.

Authors:  R C Glen; A W Payne
Journal:  J Comput Aided Mol Des       Date:  1995-04       Impact factor: 3.686

10.  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

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