Literature DB >> 21922280

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

Tobias Lippert1, Tanja Schulz-Gasch, Olivier Roche, Wolfgang Guba, Matthias Rarey.   

Abstract

De novo ligand design supports the search for novel molecular scaffolds in medicinal chemistry projects. This search can either be based on structural information of the targeted active site (structure-based approach) or on similarity to known binders (ligand-based approach). In the absence of structural information on the target, pharmacophores provide a way to find topologically novel scaffolds. Fragment spaces have proven to be a valuable source for molecular structures in de novo design that are both diverse and synthetically accessible. They also offer a simple way to formulate custom chemical spaces. We have implemented a new method which stochastically constructs new molecules from fragment spaces under consideration of a three dimensional pharmacophore. The program has been tested on several published pharmacophores and is shown to be able to reproduce scaffold hops from the literature, which resulted in new chemical entities.

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Year:  2011        PMID: 21922280     DOI: 10.1007/s10822-011-9473-6

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


  35 in total

1.  Similarity searching using reduced graphs.

Authors:  Valerie J Gillet; Peter Willett; John Bradshaw
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2.  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

3.  BREED: Generating novel inhibitors through hybridization of known ligands. Application to CDK2, p38, and HIV protease.

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Journal:  J Med Chem       Date:  2004-05-20       Impact factor: 7.446

4.  Comparison of correlation vector methods for ligand-based similarity searching.

Authors:  Uli Fechner; Lutz Franke; Steffen Renner; Petra Schneider; Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2003-10       Impact factor: 3.686

Review 5.  Computer-based de novo design of drug-like molecules.

Authors:  Gisbert Schneider; Uli Fechner
Journal:  Nat Rev Drug Discov       Date:  2005-08       Impact factor: 84.694

6.  E-novo: an automated workflow for efficient structure-based lead optimization.

Authors:  Bradley C Pearce; David R Langley; Jia Kang; Hongwei Huang; Amit Kulkarni
Journal:  J Chem Inf Model       Date:  2009-07       Impact factor: 4.956

Review 7.  Three-dimensional pharmacophore methods in drug discovery.

Authors:  Andrew R Leach; Valerie J Gillet; Richard A Lewis; Robin Taylor
Journal:  J Med Chem       Date:  2010-01-28       Impact factor: 7.446

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.  Structural basis for selective inhibition of cyclooxygenase-2 by anti-inflammatory agents.

Authors:  R G Kurumbail; A M Stevens; J K Gierse; J J McDonald; R A Stegeman; J Y Pak; D Gildehaus; J M Miyashiro; T D Penning; K Seibert; P C Isakson; W C Stallings
Journal:  Nature       Date:  1996 Dec 19-26       Impact factor: 49.962

10.  Structural basis for the autoinhibition of c-Abl tyrosine kinase.

Authors:  Bhushan Nagar; Oliver Hantschel; Matthew A Young; Klaus Scheffzek; Darren Veach; William Bornmann; Bayard Clarkson; Giulio Superti-Furga; John Kuriyan
Journal:  Cell       Date:  2003-03-21       Impact factor: 41.582

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  2 in total

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Journal:  Iran J Pharm Res       Date:  2014       Impact factor: 1.696

2.  Water Pharmacophore: Designing Ligands using Molecular Dynamics Simulations with Water.

Authors:  Sang Won Jung; Minsup Kim; Steven Ramsey; Tom Kurtzman; Art E Cho
Journal:  Sci Rep       Date:  2018-07-10       Impact factor: 4.379

  2 in total

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