Literature DB >> 9777492

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

N P Todorov1, P M Dean.   

Abstract

This paper investigates a computational procedure for the determination of the atom types on the vertices of a molecular skeleton to optimize interaction with the receptor site whilst maintaining a synthetically reasonable structure. The connectivity of the skeleton is analysed and appropriate atom types are compiled for each vertex. Receptor ionization and conformational states are generated by varying the positions of hydrogen atoms and electron lone pairs in the carboxyl, rotatable hydroxyl and amino groups. The structure is divided into small non-overlapping substructures. Atom types are assigned exhaustively onto each of the substructures using a depth-first search method; chemical rules are applied to reject unacceptable atom combinations early on. An empirical interaction score is calculated and the representatives of each partial structure are stored in ascending order according to their scores. The branch-and-bound procedure is then used to find the structures with the lowest scores. The method is illustrated using five protein-ligand complexes.

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Year:  1998        PMID: 9777492     DOI: 10.1023/a:1007994827087

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


  25 in total

1.  Automated site-directed drug design: searches of the Cambridge Structural Database for bond lengths in molecular fragments to be used for automated structure assembly.

Authors:  P L Chau; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1992-08       Impact factor: 3.686

2.  Automated site-directed drug design: an assessment of the transferability of atomic residual charges (CNDO) for molecular fragments.

Authors:  P L Chau; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1992-08       Impact factor: 3.686

3.  Automated site-directed drug design: the generation of a basic set of fragments to be used for automated structure assembly.

Authors:  P L Chau; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1992-08       Impact factor: 3.686

4.  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

5.  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

6.  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

7.  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

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.  Meeting on binding sites: characterizing and satisfying steric and chemical restraints. University of York, 28-30 March 1993.

Authors:  T Slater; D Timms
Journal:  J Mol Graph       Date:  1993-12

10.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

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  4 in total

1.  A validation study on the practical use of automated de novo design.

Authors:  Martin Stahl; Nikolay P Todorov; Tim James; Harald Mauser; Hans-Joachim Boehm; Philip M Dean
Journal:  J Comput Aided Mol Des       Date:  2002-07       Impact factor: 3.686

2.  The effect of a tightly bound water molecule on scaffold diversity in the computer-aided de novo ligand design of CDK2 inhibitors.

Authors:  Alfonso T García-Sosa; Ricardo L Mancera
Journal:  J Mol Model       Date:  2005-12-23       Impact factor: 1.810

3.  CONFIRM: connecting fragments found in receptor molecules.

Authors:  David C Thompson; R Aldrin Denny; Ramaswamy Nilakantan; Christine Humblet; Diane Joseph-McCarthy; Eric Feyfant
Journal:  J Comput Aided Mol Des       Date:  2008-07-09       Impact factor: 3.686

4.  De novo design by pharmacophore-based searches in fragment spaces.

Authors:  Tobias Lippert; Tanja Schulz-Gasch; Olivier Roche; Wolfgang Guba; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2011-09-16       Impact factor: 3.686

  4 in total

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