Literature DB >> 17952670

Chemical genomics: a challenge for de novo drug design.

P M Dean1.   

Abstract

De novo design provides an in silico toolkit for the design of novel small molecular structures to a set of specified structural constraints. With the avalanche of bioinformatics data, de novo design is ideally suited for exploring molecules that could be useful for chemical genomics. The design process involves manipulation of the input, modification of structural constraints, and further processing of the de novo generated molecules using various modular toolkits. The development of a theoretical framework for each of these stages will provide novel practical solutions to the problem of creating compounds with maximal chemical diversity. This short review describes the fundamental problems encountered in the application of novel chemical design technologies to chemical genomics by means of a formal representation. This notation helps to outline and clarify ideas and hypotheses that can then be explored using mathematical algorithms. It is only by developing this rigorous foundation that in silico design can progress in a rational way.

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Year:  2007        PMID: 17952670     DOI: 10.1007/s12033-007-0037-x

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  20 in total

1.  Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks.

Authors:  A J Hartemink; D K Gifford; T S Jaakkola; R A Young
Journal:  Pac Symp Biocomput       Date:  2001

2.  Coverage of protein sequence space by current structural genomics targets.

Authors:  Nicholas O'Toole; Stéphane Raymond; Miroslaw Cygler
Journal:  J Struct Funct Genomics       Date:  2003

3.  Scaffold hopping in de novo design. Ligand generation in the absence of receptor information.

Authors:  David G Lloyd; Christoph L Buenemann; Nikolay P Todorov; David T Manallack; Philip M Dean
Journal:  J Med Chem       Date:  2004-01-29       Impact factor: 7.446

4.  De novo ligand design with explicit water molecules: an application to bacterial neuraminidase.

Authors:  Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2002-07       Impact factor: 3.686

5.  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

6.  Global reconstruction of the human metabolic network based on genomic and bibliomic data.

Authors:  Natalie C Duarte; Scott A Becker; Neema Jamshidi; Ines Thiele; Monica L Mo; Thuy D Vo; Rohith Srivas; Bernhard Ø Palsson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-31       Impact factor: 11.205

7.  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

8.  Overriding imatinib resistance with a novel ABL kinase inhibitor.

Authors:  Neil P Shah; Chris Tran; Francis Y Lee; Ping Chen; Derek Norris; Charles L Sawyers
Journal:  Science       Date:  2004-07-16       Impact factor: 47.728

9.  Regulation of cell proliferation by autocrine motility factor/phosphoglucose isomerase signaling.

Authors:  Soichi Tsutsumi; Takashi Yanagawa; Tatsuo Shimura; Tomoharu Fukumori; Victor Hogan; Hiroyuki Kuwano; Avraham Raz
Journal:  J Biol Chem       Date:  2003-06-03       Impact factor: 5.157

10.  Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks.

Authors:  Diego di Bernardo; Michael J Thompson; Timothy S Gardner; Sarah E Chobot; Erin L Eastwood; Andrew P Wojtovich; Sean J Elliott; Scott E Schaus; James J Collins
Journal:  Nat Biotechnol       Date:  2005-03       Impact factor: 54.908

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  1 in total

1.  A systems biology approach to dissection of the effects of small bicyclic peptidomimetics on a panel of saccharomyces cerevisiae mutants.

Authors:  Irene Stefanini; Andrea Trabocchi; Emmanuela Marchi; Antonio Guarna; Duccio Cavalieri
Journal:  J Biol Chem       Date:  2010-05-25       Impact factor: 5.157

  1 in total

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