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    PROTAC design on the platform

    Targeted protein degradation tools for PROTAC linker enumeration, ternary complex modeling, and degradation efficiency prediction.

    protac

    Design bifunctional degraders that induce targeted protein degradation through the ubiquitin-proteasome pathway — enumerate linkers between a warhead and an E3 ligase ligand, model the three-body ternary complex for geometric feasibility, and predict degradation efficiency (DC50, Dmax, hook effect risk). Reach for these tools when your modality is targeted degradation rather than a conventional inhibitor. PROTAC design sits between an identified warhead and lead selection, feeding downstream into ADMET, retrosynthesis, and docking validation. See the Targets & Modalities overview for where this fits.

    Backend parameters are narrower than the tool interfaces suggest

    The Modal backend (PROTACParameters) only actually reads warhead_smiles, e3_binder_smiles, and num_linkers — all three workflows key off just those two SMILES strings. protac_linker_enumerate's linker_type and length_range are accepted by the tool but have no backend field to land in, so they're dropped before the job runs and don't affect which linkers come back (confirmed by an in-repo fix note, RQ-2308, that already caught and partially corrected this class of drop for this same tool). protac_ternary_model's target_pdb_uri/e3_pdb_uri/protac_smiles/num_poses and protac_degradation_score's protac_smiles/target_name/e3_ligase/cell_line also don't match any field the backend model defines — treat structure-based ternary modeling and named-E3/cell-line-context degradation scoring as not yet wired end to end, not as delivered capabilities.

    PROTAC design overview

    The PROTAC toolkit provides a computational pipeline for designing Proteolysis-Targeting Chimeras -- bifunctional molecules that induce targeted protein degradation via the ubiquitin-proteasome pathway. The three tools cover the full design cycle: linker chemistry exploration, ternary complex feasibility assessment, and degradation efficiency prediction.

    Architecture

    A PROTAC request is routed by intent to linker design, complex modeling, or degradation scoring, then run on GPU.

    Tool inventory

    PROTAC design tools

    ToolNameDescriptionCompute
    Linker Enumerationprotac_linker_enumerateEnumerate diverse linkers connecting a warhead to an E3 ligase ligand with control over length, flexibility, and chemical compositionGPU, 30-120s
    Ternary Complex Modelingprotac_ternary_modelModel the three-body complex (POI-linker-E3 ligase) to assess geometric feasibility and protein-protein interface qualityGPU, 2-5min
    Degradation Scoringprotac_degradation_scorePredict degradation efficiency metrics including DC50, Dmax, and hook effect risk from PROTAC structure and ternary complex dataCPU, 10-30s

    Capabilities

    Linker enumeration

    Generate libraries of chemically diverse linkers connecting a warhead (POI binder) to an E3 ligase ligand. The tool interface exposes a linker_type choice (peg, alkyl, click, mixed) and a length_range, but neither currently reaches the backend — see the note above. The tool generates 3D conformers for each linker and ranks them by synthetic accessibility and drug-likeness.

    Ternary complex modeling

    Model the three-body complex formed when a PROTAC brings a protein of interest (POI) into proximity with an E3 ubiquitin ligase. The tool takes the POI structure (PDB or predicted), the E3 ligase structure, and the full PROTAC molecule as input. It evaluates whether the linker geometry allows productive protein-protein contact and scores the interface by buried surface area, shape complementarity, and clash count.

    Degradation scoring

    Predict how effectively a PROTAC will degrade its target protein. The scoring model estimates DC50 (concentration for 50% degradation), Dmax (maximum degradation percentage), and flags compounds at risk of the hook effect (reduced degradation at high concentrations due to binary complex competition). Scores incorporate linker properties, ternary complex geometry, and physicochemical descriptors.

    PROTAC design fundamentals

    Mechanism of action

    A PROTAC acts catalytically: it brings the target and an E3 ligase together, is released after degradation, and repeats the cycle.

    Key design parameters

    ParameterDescriptionTypical Range
    Linker lengthAtoms in shortest path between warhead and E3 ligand4-16 atoms
    Linker flexibilityRotatable bonds in the linker2-10
    Molecular weightTotal PROTAC molecular weight700-1200 Da
    DC50Concentration for 50% degradation1 nM - 10 uM
    DmaxMaximum degradation at saturation50-99%
    Hook effect onsetConcentration where degradation decreases>1 uM

    E3 ligase systems

    E3 LigaseLigand ClassCommon LigandsAdvantages
    CRBN (Cereblon)IMiDsPomalidomide, lenalidomide, thalidomideBroad tissue expression, well-characterized
    VHLHydroxyprolineVH032, VHL-1High selectivity, no neosubstrate risk

    When to use each tool

    I want to...Use this tool
    Generate a library of linkersprotac_linker_enumerate
    Test if my PROTAC geometry worksprotac_ternary_model
    Predict DC50 and Dmaxprotac_degradation_score
    Explore different linker chemistriesprotac_linker_enumerate (linker_type, though see the note above — it isn't wired to the backend yet)
    Check for hook effect riskprotac_degradation_score
    Assess protein-protein interface qualityprotac_ternary_model

    When to use other tools instead

    I want to...Use this instead
    Dock a small molecule inhibitorDiffDock
    Predict ADMET propertiesADMETlab 3
    Predict protein structure from sequenceESMFold
    Search for known PROTACsChEMBL or PubChem
    Design a molecular glue (not bifunctional)GenMol or REINVENT
    Run retrosynthesis on a PROTACAiZynthFinder retrosynthesis

    Typical workflow

    1. Select warhead (from docking or literature)
    2. Select E3 ligase system (CRBN or VHL)
    3. Enumerate linkers (protac_linker_enumerate)
    4. Filter by drug-likeness and synthetic accessibility
    5. Model ternary complexes for top candidates (protac_ternary_model)
    6. Score degradation efficiency (protac_degradation_score)
    7. Select leads for synthesis

    Citations

    Sakamoto KM, et al. Protacs: chimeric molecules that target proteins to the Skp1-Cullin-F box complex for ubiquitination and degradation. Proc Natl Acad Sci USA. 2001;98(15):8554-8559. doi: 10.1073/pnas.141230798

    Bondeson DP, et al. Catalytic in vivo protein knockdown by small-molecule PROTACs. Nat Chem Biol. 2015;11(8):611-617. doi: 10.1038/nchembio.1858

    Churcher I. Protac-Induced Protein Degradation in Drug Discovery: Breaking the Rules or Just Making New Ones? J Med Chem. 2018;61(2):444-452. doi: 10.1021/acs.jmedchem.7b01272

    Chat usage

    Example prompts

    • "Design a PROTAC targeting BRD4 with a CRBN recruiter and PEG linker"
    • "Enumerate 50 linkers between 6 and 10 atoms for this warhead and VHL ligand"
    • "Model the ternary complex for my BET degrader"
    • "What DC50 and Dmax can I expect for these PROTAC candidates?"
    • "Compare alkyl vs PEG linkers for my PROTAC series"
    • "Check hook effect risk for my top 5 candidates"

    Workflow chaining

    • Feeds into: ADMET prediction (absorption, metabolism), retrosynthesis (synthetic route), compound passport (comprehensive assessment), molecular docking (binding validation)
    • Accepts from: Molecular docking (warhead pose), protein structure prediction (POI structure), compound search (E3 ligand scaffolds), literature search (known PROTAC designs)

    FAQ

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