Literature DB >> 23053736

IADE: a system for intelligent automatic design of bioisosteric analogs.

Peter Ertl1, Richard Lewis.   

Abstract

IADE, a software system supporting molecular modellers through the automatic design of non-classical bioisosteric analogs, scaffold hopping and fragment growing, is presented. The program combines sophisticated cheminformatics functionalities for constructing novel analogs and filtering them based on their drug-likeness and synthetic accessibility using automatic structure-based design capabilities: the best candidates are selected according to their similarity to the template ligand and to their interactions with the protein binding site. IADE works in an iterative manner, improving the fitness of designed molecules in every generation until structures with optimal properties are identified. The program frees molecular modellers from routine, repetitive tasks, allowing them to focus on analysis and evaluation of the automatically designed analogs, considerably enhancing their work efficiency as well as the area of chemical space that can be covered. The performance of IADE is illustrated through a case study of the design of a nonclassical bioisosteric analog of a farnesyltransferase inhibitor--an analog that has won a recent "Design a Molecule" competition.

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Year:  2012        PMID: 23053736     DOI: 10.1007/s10822-012-9609-3

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


  21 in total

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Journal:  Bioorg Med Chem Lett       Date:  2005-11-02       Impact factor: 2.823

4.  Searching Fragment Spaces with feature trees.

Authors:  Uta Lessel; Bernd Wellenzohn; Markus Lilienthal; Holger Claussen
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

5.  Similarity searching and scaffold hopping in synthetically accessible combinatorial chemistry spaces.

Authors:  Markus Boehm; Tong-Ying Wu; Holger Claussen; Christian Lemmen
Journal:  J Med Chem       Date:  2008-04-02       Impact factor: 7.446

6.  World Wide Web-based system for the calculation of substituent parameters and substituent similarity searches.

Authors:  P Ertl
Journal:  J Mol Graph Model       Date:  1998-02       Impact factor: 2.518

7.  MORPH: a new tool for ligand design.

Authors:  Brett R Beno; David R Langley
Journal:  J Chem Inf Model       Date:  2010-06-28       Impact factor: 4.956

Review 8.  Efficient drug lead discovery and optimization.

Authors:  William L Jorgensen
Journal:  Acc Chem Res       Date:  2009-06-16       Impact factor: 22.384

9.  Structural basis for binding and selectivity of antimalarial and anticancer ethylenediamine inhibitors to protein farnesyltransferase.

Authors:  Michael A Hast; Steven Fletcher; Christopher G Cummings; Erin E Pusateri; Michelle A Blaskovich; Kasey Rivas; Michael H Gelb; Wesley C Van Voorhis; Said M Sebti; Andrew D Hamilton; Lorena S Beese
Journal:  Chem Biol       Date:  2009-02-27

10.  DOGS: reaction-driven de novo design of bioactive compounds.

Authors:  Markus Hartenfeller; Heiko Zettl; Miriam Walter; Matthias Rupp; Felix Reisen; Ewgenij Proschak; Sascha Weggen; Holger Stark; Gisbert Schneider
Journal:  PLoS Comput Biol       Date:  2012-02-16       Impact factor: 4.475

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  1 in total

1.  In silico design of anti-atherogenic biomaterials.

Authors:  Daniel R Lewis; Vladyslav Kholodovych; Michael D Tomasini; Dalia Abdelhamid; Latrisha K Petersen; William J Welsh; Kathryn E Uhrich; Prabhas V Moghe
Journal:  Biomaterials       Date:  2013-07-25       Impact factor: 12.479

  1 in total

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