SureChEMBL: a large-scale, chemically annotated patent document database.
about
The ChEMBL database in 2017BIGCHEM: Challenges and Opportunities for Big Data Analysis in ChemistryMapping the patent landscape of synthetic biology for fine chemical production pathwaysPatterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resourcesThe European Bioinformatics Institute in 2016: Data growth and integrationChemical entity recognition in patents by combining dictionary-based and statistical approachesOpen PHACTS computational protocols for in silico target validation of cellular phenotypic screens: knowing the knowns.The 2016 database issue of Nucleic Acids Research and an updated molecular biology database collection.Getting the most out of PubChem for virtual screeningLarge-scale virtual screening on public cloud resources with Apache SparkHow Reliable Are Ligand-Centric Methods for Target Fishing?Unprecedently Large-Scale Kinase Inhibitor Set Enabling the Accurate Prediction of Compound-Kinase Activities: A Way toward Selective Promiscuity by Design?Predicting the Reliability of Drug-target Interaction Predictions with Maximum Coverage of Target Space.Assessment of the significance of patent-derived information for the early identification of compound-target interaction hypotheses.The European Bioinformatics Institute in 2017: data coordination and integration.FUn: A Framework for Interactive Visualizations of Large, High Dimensional Datasets on the Web.Cheminformatics in the Service of GPCR Drug Discovery.De Novo Design of Bioactive Small Molecules by Artificial Intelligence.Modeling and Deorphanization of Orphan GPCRs.Protocols for the Design of Kinase-Focused Compound Libraries.Efficient iterative virtual screening with Apache Spark and conformal prediction.Challenges of Connecting Chemistry to Pharmacology: Perspectives from Curating the IUPHAR/BPS Guide to PHARMACOLOGYScaffold-Hopping from Synthetic Drugs by Holistic Molecular Representation
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SureChEMBL: a large-scale, chemically annotated patent document database.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh
2015年學術文章
@zh-hant
name
SureChEMBL: a large-scale, chemically annotated patent document database.
@ast
SureChEMBL: a large-scale, chemically annotated patent document database.
@en
type
label
SureChEMBL: a large-scale, chemically annotated patent document database.
@ast
SureChEMBL: a large-scale, chemically annotated patent document database.
@en
prefLabel
SureChEMBL: a large-scale, chemically annotated patent document database.
@ast
SureChEMBL: a large-scale, chemically annotated patent document database.
@en
P2093
P2860
P50
P356
P1476
SureChEMBL: a large-scale, chemically annotated patent document database
@en
P2093
James Siddle
Joe Pettersson
Jon Chambers
Mark Davies
Richard Koks
Sean A Irvine
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P304
P356
10.1093/NAR/GKV1253
P407
P577
2015-11-17T00:00:00Z