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    ChEMBL FAQ

    Frequently asked questions about ChEMBL bioactivity data, licensing, and comparisons with other databases.

    chemblfaq

    These answers cover when to reach for ChEMBL versus PubChem, the bioactivity data types (IC50, Ki, EC50, Kd, pChEMBL), the CC BY-SA 3.0 data license, what confidence scores and target classifications mean, structure-based searching, and why the same compound-target pair can show multiple activity values.

    ChEMBL Frequently Asked Questions

    ChEMBL vs PubChem -- when should I use each?

    ChEMBL and PubChem are complementary but serve different purposes:

    AspectChEMBLPubChem
    Data sourceCurated from peer-reviewed medicinal chemistry literatureDeposited by labs, vendors, and automated extraction
    StrengthHigh-quality bioactivity data (IC50, Ki, EC50) with confidence scoresBroad compound coverage with computed properties
    Compound countMillions, curated from literatureTens of millions, aggregated from many sources
    Best forSAR analysis, target-based drug design, hit validationCompound lookup, vendor sourcing, property calculation
    CurationManual by EMBL-EBI curatorsMostly automated

    Rule of thumb: Use ChEMBL when you need measured bioactivity data with target assignments. Use PubChem when you need compound identifiers, vendor availability, or computed molecular properties.

    What are the different bioactivity data types?

    ChEMBL reports several types of activity measurements. The most common:

    TypeFull NameWhat It MeasuresTypical Use
    IC50Half-maximal inhibitory concentrationConcentration to inhibit 50% of activityEnzyme and cell-based inhibition assays
    EC50Half-maximal effective concentrationConcentration for 50% of maximum effectAgonist and functional assays
    KiInhibition constantEquilibrium dissociation constant for an inhibitorCompetitive binding assays (enzyme kinetics)
    KdDissociation constantEquilibrium binding affinityBiophysical binding assays (SPR, ITC)

    Key distinction: IC50 depends on assay conditions (substrate concentration, incubation time), while Ki is a thermodynamic constant independent of assay setup. Ki values are more comparable across studies, but IC50 is far more commonly reported.

    ChEMBL also standardizes values as pChEMBL (-log10 of the molar value), which allows comparison across activity types on a single scale. Higher pChEMBL = more potent.

    What is the ChEMBL data license?

    ChEMBL data is released under the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license. This means:

    • You can freely use, share, and adapt ChEMBL data for any purpose, including commercial use
    • You must give appropriate credit to ChEMBL/EMBL-EBI
    • If you redistribute modified data, you must use the same license

    There are no restrictions on using ChEMBL data in drug discovery pipelines, publications, or commercial products, as long as attribution is provided.

    What do compound confidence scores mean?

    ChEMBL assigns a confidence score (1-10) to each compound-target association, reflecting how directly the target was identified in the original assay:

    ScoreDescriptionReliability
    9Direct single protein targetHighest -- biochemical assay on purified protein
    8Homologous single protein targetHigh -- inferred from a closely related species
    7Direct protein complex targetHigh -- multi-subunit target directly tested
    6Homologous protein complexModerate -- complex target inferred from homolog
    5Direct selectivity measurementModerate -- panel assay with selectivity data
    4Cell-based, mechanism-basedLower -- target inferred from mechanism
    1-3Phenotypic or uncertainLow -- target assignment uncertain

    Recommendation: For SAR analysis and medicinal chemistry decisions, filter for confidence ≥ 7. For broader target landscape surveys, confidence ≥ 4 is acceptable.

    How are targets classified in ChEMBL?

    ChEMBL organizes targets into a hierarchy based on protein classification:

    • Single protein: A specific protein (e.g., EGFR, CHEMBL203). Most common and most reliable for SAR.
    • Protein complex: A multi-subunit target (e.g., GABA-A receptor). Activity data reflects the complex, not individual subunits.
    • Protein family: A group of related proteins (e.g., "Matrix metalloproteinases"). Less specific but useful for selectivity analysis.
    • Cell-line: Activity measured in a cell line without a specific molecular target assigned.
    • Organism: Whole-organism assay (e.g., antimicrobial MIC values).

    Each target also has a target type (e.g., kinase, GPCR, ion channel) from the ChEMBL target classification system, which maps to standard protein families.

    Can I search ChEMBL by structure instead of name?

    Yes, by similarity: provide a SMILES string and a Tanimoto threshold (e.g., 70%) to find structurally similar compounds. See Similarity Search. There is no separate ChEMBL substructure-search tool on the platform — for a specific motif, run a similarity search at a lower threshold and filter by hand, or use PubChem's substructure search instead.

    For exact compound lookup by structure, convert your molecule to an InChIKey and search by that identifier for unambiguous matching.

    How often is ChEMBL updated?

    ChEMBL releases new versions approximately 2-3 times per year. Each release adds newly curated compounds and bioactivity data from recent publications. The platform uses the ChEMBL REST API, which always serves the latest release.

    Release notes are published at chembl.gitbook.io and include statistics on new compounds, targets, and assays added in each version.

    Why do I see different IC50 values for the same compound-target pair?

    Multiple IC50 values for the same compound-target pair are expected and normal. Common reasons:

    • Different assay formats: Biochemical vs. cell-based assays yield different IC50 values
    • Different laboratories: Experimental conditions (temperature, buffer, substrate concentration) vary
    • Different publications: Each measurement comes from an independent study

    To handle this, ChEMBL does not merge or average values. Instead, use the confidence score and assay description to select the most relevant measurement for your analysis. For systematic comparisons, consider using the median or geometric mean of available values.

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