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Mining the ChEMBL Database: An Efficient Chemoinformatics Workflow for Assembling an Ion Channel-Focused Screening Library
Author(s) -
N. Yi Mok,
Ruth Brenk
Publication year - 2011
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/ci200260t
Subject(s) - chembl , cheminformatics , workflow , computer science , virtual screening , channel (broadcasting) , phenotypic screening , information retrieval , computational biology , drug discovery , database , bioinformatics , chemistry , biology , phenotype , computer network , biochemistry , gene
The ChEMBL database was mined to efficiently assemble an ion channel-focused screening library. The compiled library consists of 3241 compounds representing 123 templates across nine ion channel categories. Compounds in the screening library are annotated with their respective ion channel category to facilitate back-tracing of prospective molecular targets from phenotypic screening results. The established workflow is adaptable to the construction of focused screening libraries for other therapeutic target classes with diverse recognition motifs.

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