Literature DB >> 8523043

The atom assignment problem in automated de novo drug design. 1. Transferability of molecular fragment properties.

M T Barakat1, P M Dean.   

Abstract

This paper is the first of a series which examines the problems of atom assignment in automated de novo drug design. In subsequent papers, a combinatoric optimization method for fragment placement onto 3D molecular graphs is provided. Molecules are built from molecular graphs by placing fragments onto the graph. Here we examine the transferability of atomic residual charge, by fragment placement, with respect to the electrostatic potential. This transferability has been tested on 478 molecular structures extracted from the Cambridge Structural Database. The correlation found between the electrostatic potential computed from composite fragments and that computed for the whole molecule was encouraging, except for extended conjugated systems.

Mesh:

Year:  1995        PMID: 8523043     DOI: 10.1007/BF00125175

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


  23 in total

1.  LUDI: rule-based automatic design of new substituents for enzyme inhibitor leads.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1992-12       Impact factor: 3.686

2.  Automated site-directed drug design: the formation of molecular templates in primary structure generation.

Authors:  R A Lewis; P M Dean
Journal:  Proc R Soc Lond B Biol Sci       Date:  1989-03-22

3.  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

4.  The atom assignment problem in automated de novo drug design. 1. Transferability of molecular fragment properties.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

5.  The atom assignment problem in automated de novo drug design. 3. Algorithms for optimization of fragment placement onto 3D molecular graphs.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

6.  The atom assignment problem in automated de novo drug design. 2. A method for molecular graph and fragment perception.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

7.  GroupBuild: a fragment-based method for de novo drug design.

Authors:  S H Rotstein; M A Murcko
Journal:  J Med Chem       Date:  1993-06-11       Impact factor: 7.446

8.  Electrostatic complementarity between proteins and ligands. 2. Ligand moieties.

Authors:  P L Chau; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1994-10       Impact factor: 3.686

9.  Electrostatic complementarity between proteins and ligands. 1. Charge disposition, dielectric and interface effects.

Authors:  P L Chau; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1994-10       Impact factor: 3.686

10.  CAVEAT: a program to facilitate the design of organic molecules.

Authors:  G Lauri; P A Bartlett
Journal:  J Comput Aided Mol Des       Date:  1994-02       Impact factor: 3.686

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  8 in total

1.  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

2.  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

3.  The atom assignment problem in automated de novo drug design. 5. Tests for envelope-directed fragment placement based on molecular similarity.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

4.  The atom assignment problem in automated de novo drug design. 4. Tests for site-directed fragment placement based on molecular complementarity.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

5.  The atom assignment problem in automated de novo drug design. 1. Transferability of molecular fragment properties.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

6.  The atom assignment problem in automated de novo drug design. 3. Algorithms for optimization of fragment placement onto 3D molecular graphs.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

7.  The atom assignment problem in automated de novo drug design. 2. A method for molecular graph and fragment perception.

Authors:  M T Barakat; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-08       Impact factor: 3.686

8.  Drug design for ever, from hype to hope.

Authors:  G Seddon; V Lounnas; R McGuire; T van den Bergh; R P Bywater; L Oliveira; G Vriend
Journal:  J Comput Aided Mol Des       Date:  2012-01-18       Impact factor: 3.686

  8 in total

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