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The CARLSBAD Database: A Confederated Database of Chemical Bioactivities

https://doi.org/10.1093/database/bat044
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9783527619375.ch13bopenalex-snapshot
WOMBAT and WOMBAT‐PK: Bioactivity Databases for Lead and Drug Discovery
inferredcites →https://doi.org/10.1002/cmdc.201200507openalex-snapshot
A Chemogenomic Analysis of Ionization Constants—Implications for Drug Discovery
inferredcites →https://doi.org/10.1002/minf.201100023openalex-snapshot
Associating Drugs, Targets and Clinical Outcomes into an Integrated Network Affords a New Platform for Computer‐Aided Drug Repurposing
inferredcites →https://doi.org/10.1016/s1574-1400(08)00012-1openalex-snapshot
PubChem: Integrated Platform of Small Molecules and Biological Activities
inferredcites →https://doi.org/10.1021/ci00062a008openalex-snapshot
SMILES. 2. Algorithm for generation of unique SMILES notation
inferredcites →https://doi.org/10.1021/ci010381fopenalex-snapshot
Heuristics for Similarity Searching of Chemical Graphs Using a Maximum Common Edge Subgraph Algorithm
inferredcites →https://doi.org/10.1021/ci050011hopenalex-snapshot
Database Clustering with a Combination of Fingerprint and Maximum Common Substructure Methods
inferredcites →https://doi.org/10.1021/ci0503208openalex-snapshot
Molecular Transformations as a Way of Finding and Exploiting Consistent Local QSAR
inferredcites →https://doi.org/10.1021/ci100297yopenalex-snapshot
MultiMCS: A Fast Algorithm for the Maximum Common Substructure Problem on Multiple Molecules
inferredcites →https://doi.org/10.1021/ci2003126openalex-snapshot
Analysis of Commercial and Public Bioactivity Databases
inferredcites →https://doi.org/10.1021/ci400099qopenalex-snapshot
Estimating Error Rates in Bioactivity Databases
inferredcites →https://doi.org/10.1021/ci600444gopenalex-snapshot
Representing Clusters Using a Maximum Common Edge Substructure Algorithm Applied to Reduced Graphs and Molecular Graphs
inferredcites →https://doi.org/10.1021/ci8000887openalex-snapshot
Toward an Improved Clustering of Large Data Sets Using Maximum Common Substructures and Topological Fingerprints
inferredcites →https://doi.org/10.1021/jm049032dopenalex-snapshot
HierS: Hierarchical Scaffold Clustering Using Topological Chemical Graphs
inferredcites →https://doi.org/10.1021/jm9602928openalex-snapshot
The Properties of Known Drugs. 1. Molecular Frameworks
inferredcites →https://doi.org/10.1021/ml3001787openalex-snapshot
Symmetric Kv1.5 Blockers Discovered by Focused Screening
inferredcites →https://doi.org/10.1093/comjnl/45.6.631openalex-snapshot
RASCAL: Calculation of Graph Similarity using Maximum Common Edge Subgraphs
inferredcites →https://doi.org/10.1093/nar/gkq1062openalex-snapshot
IUPHAR-DB: new receptors and tools for easy searching and visualization of pharmacological data
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
inferredcites →https://doi.org/10.1093/nar/gkr981openalex-snapshot
Reorganizing the protein space at the Universal Protein Resource (UniProt)
inferredcites →https://doi.org/10.1093/nar/gks060openalex-snapshot
A transposase strategy for creating libraries of circularly permuted proteins
inferredcites →https://doi.org/10.1093/nar/gks1166openalex-snapshot
ChemProt-2.0: visual navigation in a disease chemical biology database
inferredcites →https://doi.org/10.1093/nar/gks960openalex-snapshot
IUPHAR-DB: updated database content and new features
inferredcites →https://doi.org/10.1101/gr.1239303openalex-snapshot
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
inferredcites →https://doi.org/10.1126/science.1105511openalex-snapshot
NIH Molecular Libraries Initiative
inferredcites →https://doi.org/10.1177/107385840000600408openalex-snapshot
The Multiplicity of Serotonin Receptors: Uselessly Diverse Molecules or an Embarrassment of Riches?

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Ligand‐Directed Profiling of Organelles with Internalizing Phage Libraries
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Discovery Technologies for Drug Repurposing
inferred← citeshttps://doi.org/10.1002/minf.201400024openalex-snapshot
The Calculation of Molecular Structural Similarity: Principles and Practice
inferred← citeshttps://doi.org/10.1007/978-1-4939-9145-7_6openalex-snapshot
In Silico Drug–Target Profiling
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Multivariate Curve Resolution for Analysis of Heterogeneous System in Toxicogenomics
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inferred← citeshttps://doi.org/10.1016/b978-0-12-816125-8.00010-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ddtec.2015.03.003openalex-snapshot
Chemical biology databases: from aggregation, curation to representation
inferred← citeshttps://doi.org/10.1016/j.drudis.2017.09.004openalex-snapshot
CHEMGENIE: integration of chemogenomics data for applications in chemical biology
inferred← citeshttps://doi.org/10.1016/j.drudis.2020.07.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jff.2019.103486openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.stem.2023.04.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.jcim.1c00431openalex-snapshot
A Workflow of Integrated Resources to Catalyze Network Pharmacology Driven COVID-19 Research
inferred← citeshttps://doi.org/10.1021/acschembio.6b00706openalex-snapshot
What Can We Learn from Bioactivity Data? Chemoinformatics Tools and Applications in Chemical Biology Research
inferred← citeshttps://doi.org/10.1039/c7ra11831gopenalex-snapshot
Open chemoinformatic resources to explore the structure, properties and chemical space of molecules
inferred← citeshttps://doi.org/10.1093/database/bau055openalex-snapshot
TIPdb-3D: the three-dimensional structure database of phytochemicals from Taiwan indigenous plants
inferred← citeshttps://doi.org/10.1093/database/bav123openalex-snapshot
ChemProt-3.0: a global chemical biology diseases mapping
inferred← citeshttps://doi.org/10.1093/nar/gkv1037openalex-snapshot
The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands
inferred← citeshttps://doi.org/10.1101/2020.12.30.424881openalex-snapshot
Knowledge graph analytics platform with LINCS and IDG for Parkinson’s disease target illumination
inferred← citeshttps://doi.org/10.1186/1752-0509-9-s4-s2openalex-snapshot
A weighted and integrated drug-target interactome: drug repurposing for schizophrenia as a use case
inferred← citeshttps://doi.org/10.1186/s12859-017-1845-zopenalex-snapshot
VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization
inferred← citeshttps://doi.org/10.1186/s12859-021-04530-9openalex-snapshot
Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination
inferred← citeshttps://doi.org/10.1186/s13321-017-0203-5openalex-snapshot
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
inferred← citeshttps://doi.org/10.1186/s13321-018-0297-4openalex-snapshot
Probing the chemical–biological relationship space with the Drug Target Explorer
inferred← citeshttps://doi.org/10.1186/s13321-020-0408-xopenalex-snapshot
Towards reproducible computational drug discovery
inferred← citeshttps://doi.org/10.1517/17460441.2015.1016497openalex-snapshot
Maximizing computational tools for successful drug discovery
inferred← citeshttps://doi.org/10.21037/atm.2019.10.23openalex-snapshot
CMTTdb: the cancer molecular targeted therapy database
inferred← citeshttps://doi.org/10.2174/9789815136807123010014openalex-snapshot
In silico Approaches to Tyrosine Kinase Inhibitors’ Development
inferred← citeshttps://doi.org/10.3389/fphar.2019.00561openalex-snapshot
In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR
inferred← citeshttps://doi.org/10.6084/m9.figshare.18318346openalex-snapshot
Additional file 1 of Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination
inferred← citeshttps://doi.org/10.6084/m9.figshare.18318349openalex-snapshot
Additional file 2 of Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination
inferred← citeshttps://doi.org/10.6084/m9.figshare.18318352openalex-snapshot
Additional file 3 of Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination
inferred← citeshttps://doi.org/10.6084/m9.figshare.18318355openalex-snapshot
Additional file 4 of Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination
inferred← citeshttps://doi.org/10.6084/m9.figshare.18318358openalex-snapshot
Additional file 5 of Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination
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