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PUBLISHER: Mellalta Meets LLP | PRODUCT CODE: 1866186

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PUBLISHER: Mellalta Meets LLP | PRODUCT CODE: 1866186

PROTACs, Molecular Glues, DUBTACs, LYTACs, AUTACs & Emerging Degrader Modalities - Technology Landscape, Competitive Pipeline & Global Market Outlook 2025-2040

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PAGES: 200 Pages
DELIVERY TIME: 7-10 business days
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Executive Summary / Description

Targeted Protein Degradation (TPD) 2.0 moves beyond occupancy-driven inhibition to event-driven pharmacology-hijacking cellular quality-control machinery (UPS, lysosome, autophagy) to eliminate disease-causing proteins, aggregates, and scaffolds once considered "undruggable." The category now spans heterobifunctionals (PROTACs), mono-valent molecular glues, deubiquitinase-tethering (DUBTACs), lysosome-directed degraders (LYTACs), autophagy-targeting chimeras (AUTACs), ATTEC/MITO-TACs, and RNA/protein hybrid degraders. Next-wave platforms emphasize E3 ligase diversity, tissue-specific ligases, glue discovery at scale, covalent chemistries, subcellular localization control, and targeted delivery (including CNS-penetrant degraders).

Why TPD is breaking out:

  • Clinically validated degradation of key oncoproteins (e.g., BTK/BRD4 class) and expansion into neurodegeneration, immunology, virology.
  • Undruggable proteome access via glue discovery and non-canonical E3 ligases.
  • Better PK/PD tolerability from catalytic, sub-stoichiometric action; potential lower dose and deep target suppression.
  • Clear partnering appetite and CDMO capability ramp for complex heterobifunctionals.

Market outlook: From ~$2.2B in 2024 (early oncology revenue + upfronts) to $18-25B by 2035 and $40-55B by 2040, driven by:

  • First best-in-class degraders in oncology (BTK-resistant, KRAS-adjacent scaffolds, transcription factors)
  • Glue-based CNS assets (tau, a-synuclein, TDP-43 pathways)
  • Immunology (pathologic kinases, inflammasome adaptors)
  • Combination regimens (IO + degrader; kinase-inhibitor + degrader rescue)
  • Platform licensing economics (ligase toolkits, glue engines)

Technology Understanding (Mechanistic & Platform Logic)

Modalities & Machinery

  • UPS-centric:
    • PROTACs (heterobifunctionals): target binder-linker-E3 ligase ligand (e.g., CRBN, VHL, IAP, MDM2, DCAF family).
    • Molecular glues: monovalent small molecules that stabilize neomorphic PPIs between a target and E3 (e.g., IMiDs-CRBN, non-IMiD glue classes).
    • DUBTACs: recruit deubiquitinases to stabilize desired proteins (gain-of-function diseases).
  • Lysosome/Autophagy-centric:
    • LYTACs: extracellular/secreted targets routed to lysosome via ASGPR/CI-M6PR receptors.
    • AUTACs/ATTECs: tags elicit selective autophagy of cytosolic cargo; mitophagy-targeting chimeras for mitochondria.
  • Hybrid / Frontier: RNA-targeting degraders (RIBOTACs), degron-editing, light-activated degraders, PROTAC-antibody conjugates.

Key 2.0 Advances

  • Ligase expansion beyond CRBN/VHL (e.g., RNF114, DCAF15/16, FEM1B, KEAP1, KLHL family).
  • Glue-first discovery platforms: chemoproteomics, DELs, AI PPI predictors, covalent glue design.
  • CNS-penetrant chemistries (macrocycle minimization, polarity tuning, linker truncation).
  • Subcellular targeting (nucleus, mitochondria, endosome).
  • Covalent reversible warheads improving residence time & ternary complex stability.
  • Degrader-IO cross-talk (antigen presentation ↑; synthetic lethality).

Development Challenges (and fixes)

  • PK: large polar surface areas -> ve/PSA optimization, macrocycle trimming, intramolecular H-bonding.
  • Selectivity: unintended neo-substrates -> chemoproteomic screens, degron mapping.
  • Resistance: target/ligase mutations -> ligase switching, dual-E3 degraders.
  • Tox: cereblon neosubstrate depletion, on-target toxicity -> ligase choice, degron engineering.

Table of Content

1. Introduction & Methodology

  • 1.1 TPD 2.0 Scope and definitions
  • 1.3 Clinical/regulatory context vs inhibitors and gene therapy

2. Biology of Protein Quality Control

  • 2.1 Ubiquitin-proteasome system (E1/E2/E3; degrons)
  • 2.2 Lysosome and autophagy pathways
  • 2.3 Neomorphic PPIs & induced proximity principles
  • 2.4 Degron code & targetability rules

3. Modality Classes & Engineering

  • 3.1 PROTACs: linker physics, ternary complex kinetics, cooperativity
  • 3.2 Molecular glues: discovery engines (DEL/HTS/chemo-proteomics/AI)
  • 3.3 DUBTACs: deubiquitinase selection & stabilization logic
  • 3.4 LYTACs: extracellular target scope, receptor choice (ASGPR, CI-M6PR)
  • 3.5 AUTACs/ATTEC/MITO-TAC: selective autophagy circuits
  • 3.6 Hybrid modalities (RIBOTACs; antibody-PROTAC conjugates; light-switchable degraders)

4. Ligase Landscape & Tissue Targeting

  • 4.1 Canonical ligases (CRBN, VHL) - pros/cons
  • 4.2 Non-canonical ligases map (DCAF15/16, RNF114, KEAP1, FEM1B, FBXO family)
  • 4.3 Tissue-specific ligases (liver, muscle, CNS)
  • 4.4 Ligase switching & dual-ligase designs

5. Target Classes & Indication Maps

  • 5.1 Oncology: KRAS pathway scaffolds, BET/BRD, CDK, AR/ER variants, BTK C481S
  • 5.2 Neuro: tau, a-syn, TDP-43, huntingtin fragments
  • 5.3 Immunology/Inflammation: IRAK4, TYK2, inflammasome adaptors
  • 5.4 Virology: capsid proteins, replication factors
  • 5.5 Rare disease & aggregate proteopathies

6. Clinical Development Landscape

  • 6.1 Global pipeline census (by class, stage, indication)
  • 6.2 Pivotal/registrational candidates
  • 6.3 Safety learnings & off-target liabilities
  • 6.4 Resistance biology & next-gen workarounds

7. Competitive & Deal Landscape

  • 7.1 Company archetypes (platform vs asset)
  • 7.2 Big-pharma alliances & economics

8. Market Access & Commercial Outlook

  • 8.1 Pricing analogs vs inhibitors & cell therapy
  • 8.2 Reimbursement
  • 8.3 Combination strategies & label expansion

9. Forecasts & Scenarios (2025-2040)

  • 9.1 TAM/SAM by domain (oncology, neuro, immunology)
  • 9.2 Base/Bull/Bear adoption curves

10. Appendix

Have a question?
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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