scispace - formally typeset
J

Jon Chambers

Researcher at European Bioinformatics Institute

Publications -  9
Citations -  7214

Jon Chambers is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: chEMBL & The Internet. The author has an hindex of 9, co-authored 9 publications receiving 5406 citations. Previous affiliations of Jon Chambers include Wellcome Trust.

Papers
More filters
Journal ArticleDOI

ChEMBL: a large-scale bioactivity database for drug discovery

TL;DR: ChEMBL is an Open Data database containing binding, functional and ADMET information for a large number of drug-like bioactive compounds to maximize their quality and utility across a wide range of chemical biology and drug-discovery research problems.
Journal ArticleDOI

The ChEMBL database in 2017.

TL;DR: ChEMBL is an open large-scale bioactivity database that includes the annotation of assays and targets using ontologies, the inclusion of targets and indications for clinical candidates, addition of metabolic pathways for drugs and calculation of structural alerts.
Journal ArticleDOI

The ChEMBL bioactivity database: an update

TL;DR: More comprehensive tracking of compounds from research stages through clinical development to market is provided through the inclusion of data from United States Adopted Name applications and a new richer data model for representing drug targets has been developed.
Journal ArticleDOI

ChEMBL: towards direct deposition of bioassay data

TL;DR: Several important improvements have been made to ChEMBL in the last two years, including more robust capture and representation of assay details; a new data deposition system, allowing updating of data sets and deposition of supplementary data; and a completely redesigned web interface, with enhanced search and filtering capabilities.
Journal ArticleDOI

SureChEMBL: a large-scale, chemically annotated patent document database.

TL;DR: SureChEMBL provides access to a previously unavailable, open and timely set of annotated compound-patent associations, complemented with sophisticated combined structure and keyword-based search capabilities against the compound repository and patent document corpus.