Literature DB >> 21761916

Visual characterization and diversity quantification of chemical libraries: 1. creation of delimited reference chemical subspaces.

Vincent Le Guilloux1, Lionel Colliandre, Stéphane Bourg, Guillaume Guénegou, Julie Dubois-Chevalier, Luc Morin-Allory.   

Abstract

High-throughput screening (HTS) is a well-established technology which can test up to several million compounds in a few weeks. Despite these appealing capabilities, available resources and high costs may limit the number of molecules screened, making diversity analysis a method of choice to design and prioritize screening libraries. With a constantly increasing number of molecules available for screening, chemical space has become a key concept for visualizing, analyzing, and comparing chemical libraries. In this first article, we present a new method to build delimited reference chemical subspaces (DRCS). A set of 16 million screening compounds from 73 chemical providers has been gathered, resulting in a database of 6.63 million standardized and unique molecules. These molecules have been used to create three DRCS using three different sets of chemical descriptors. A robust principal component analysis model for each space has been obtained, whereby molecules are projected in a reduced two-dimensional viewable space. The specificity of our approach is that each reduced space has been delimited by a representative contour encompassing a very large proportion of molecules and reflecting its overall shape. The methodology is illustrated by mapping and comparing various chemical libraries. Several tools used in these studies are made freely available, thus enabling any user to compute DRCS matching specific requirements.

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Year:  2011        PMID: 21761916     DOI: 10.1021/ci200051r

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  9 in total

1.  Molpher: a software framework for systematic chemical space exploration.

Authors:  David Hoksza; Petr Skoda; Milan Voršilák; Daniel Svozil
Journal:  J Cheminform       Date:  2014-03-21       Impact factor: 5.514

2.  CFam: a chemical families database based on iterative selection of functional seeds and seed-directed compound clustering.

Authors:  Cheng Zhang; Lin Tao; Chu Qin; Peng Zhang; Shangying Chen; Xian Zeng; Feng Xu; Zhe Chen; Sheng Yong Yang; Yu Zong Chen
Journal:  Nucleic Acids Res       Date:  2014-11-20       Impact factor: 16.971

3.  A reliable computational workflow for the selection of optimal screening libraries.

Authors:  Yocheved Gilad; Katalin Nadassy; Hanoch Senderowitz
Journal:  J Cheminform       Date:  2015-12-11       Impact factor: 5.514

4.  PKIDB: A Curated, Annotated and Updated Database of Protein Kinase Inhibitors in Clinical Trials.

Authors:  Fabrice Carles; Stéphane Bourg; Christophe Meyer; Pascal Bonnet
Journal:  Molecules       Date:  2018-04-15       Impact factor: 4.411

5.  Mining collections of compounds with Screening Assistant 2.

Authors:  Vincent Le Guilloux; Alban Arrault; Lionel Colliandre; Stéphane Bourg; Philippe Vayer; Luc Morin-Allory
Journal:  J Cheminform       Date:  2012-08-31       Impact factor: 5.514

6.  KNIME-CDK: Workflow-driven cheminformatics.

Authors:  Stephan Beisken; Thorsten Meinl; Bernd Wiswedel; Luis F de Figueiredo; Michael Berthold; Christoph Steinbeck
Journal:  BMC Bioinformatics       Date:  2013-08-22       Impact factor: 3.169

7.  Expanding the fragrance chemical space for virtual screening.

Authors:  Lars Ruddigkeit; Mahendra Awale; Jean-Louis Reymond
Journal:  J Cheminform       Date:  2014-05-22       Impact factor: 5.514

8.  Web-based 3D-visualization of the DrugBank chemical space.

Authors:  Mahendra Awale; Jean-Louis Reymond
Journal:  J Cheminform       Date:  2016-05-04       Impact factor: 5.514

Review 9.  Virtual Screening Approaches towards the Discovery of Toll-Like Receptor Modulators.

Authors:  Lucía Pérez-Regidor; Malik Zarioh; Laura Ortega; Sonsoles Martín-Santamaría
Journal:  Int J Mol Sci       Date:  2016-09-09       Impact factor: 5.923

  9 in total

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