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Targeted Protein Degradation Patents: Leaders & White Space 2026

Targeted Protein Degradation Patents: Leaders & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/targeted-protein-degradation-e3-ligase-recruitment-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Biopharma & Drug Discovery
Targeted Protein Degradation Patents: Mapping E3 Ligase Recruitment Claims

A data-backed look at E3 ligase recruitment patents in targeted protein degradation: who leads filings, how concentrated the field is, and where claim space remains open.

267
Published Records
46%
Top-5 Share of All Records
+7%
Filing Growth 2021→2024
WO
Leading Jurisdiction

Filing growth = 2021 (45 records) → 2024 (48); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 267 records in scope (CR5), not the ranked leaders only.

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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Field Overview

What the E3 ligase recruitment patent record shows

Targeted protein degradation depends on recruiting an E3 ligase to a target protein so the cell’s own machinery destroys it. The patent record for this specific mechanism — 267 records published between 2015 and the 2026 cut-off — is dominated by cereblon-based ligand chemistry and bifunctional PROTAC-style compounds, with a smaller but active thread of antibody-conjugate and fetal liver kinase degrader claims. Most filings are framed as medicinal preparations with a stated therapeutic activity, rather than as standalone chemical compositions, which shapes how narrow or broad a given claim can be read.

Filing activity rose steadily through the late 2010s and peaked at 48 records in 2024, the last year that can be treated as materially complete given the roughly 18-month lag between filing and publication. The most recent years in the trend will fill in further as pending applications publish, so any read of 2025 or 2026 as a slowdown would be premature.

Filing activity by year, 2017–2026
  1. 1ASTRAZENECA AB40
  2. 2ARVINAS OPERATIONS INC23
  3. 3DANA FARBER CANCER INSTITUTE INC22
  4. 4AMPHISTA THERAPEUTICS LTD21
  5. 5STICHTING HET NEDERLANDS KANKER INST ANTONI VAN LEEUWENHOEK ZIEKENHUIS17
  6. 6UNIVERSITY OF DUNDEE14
  7. 7GLAXOSMITHKLINE INTPROP DEV LTD14
  8. 8DARK BLUE THERAPEUTICS LTD9
  9. 9GENENTECH INC8
  10. 10THE BROAD INST INC8
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Targeted Protein Degradation: E3 Ligase Recruitment Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Numbers

Filing concentration, technology mix and where applicants file

The dataset spans 267 published records across 66 ranked assignees, six major receiving offices and eight IPC subclasses. The patterns below describe where claim density is heaviest and where the field remains comparatively open.

A plateau, not a slowdown

Filings climbed from 23 in 2017 to a peak of 48 in 2024, with growth of just 7% across the 2021-to-2024 window. That is a maturing rate of new filing rather than an accelerating one, though the 2025-2026 figures are still incomplete due to publication lag.

A plateau, not a slowdown013253850232017201820192020202120222023482024202532026Most recent year is partial — publication lag means later filings are not yet visible.

Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.

Medicinal framing dominates the class mix

A61K (medicinal preparations) appears on 79.0% of records and A61P (therapeutic activity) on 69.3%, meaning most applicants claim both a compound and its disease use. Heterocyclic chemistry under C07D covers 48.3% of records, while peptide and protein claims under C07K sit at 25.5%. Organo-metallic compound claims under C07F and nanotechnology applications under B82Y are each below 5%, marking the thinnest-claimed corners of the space.

Medicinal framing dominates the class mixA61K · Medicinal preparations21179.0%A61P · Therapeutic activity of compou…18569.3%C07D · Heterocyclic compounds12948.3%C07K · Peptides & proteins6825.5%C12N · Microorganisms & genetic engin…4316.1%G01N · Material analysis & testing166.0%C07F · Organo-metallic & non-carbon c…83.0%B82Y · Nanotechnology applications41.5%Other134.9%

Shares are the percentage of the 267 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Targeted Protein Degradation: E3 Ligase Recruitment Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The records shaping freedom to operate

Representative Recent Filing
US20250092383A12025-03-20

Compounds and methods for FBXO22-mediated protein degradation

NORTHWESTERN UNIVERSITY

In some aspects, provided herein compounds (PROTACs) targeting the E3 ligase FBXO22 and uses thereof. In some aspects, provided herein are methods of identifying E3 ligases and compounds that support targeted protein degradation.Filed by Northwestern University and published 2025-03-20, this record targets FBXO22 rather than the cereblon or VHL pathways that dominate the most-cited records, illustrating how newer entrants are claiming alternative E3 ligases to work around crowded chemistry.

US20250092383A1 — patent drawing 1US20250092383A1 — patent drawing 2
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Most-cited records in scope
#Publication no.Patent titleCitations
1WO2018144649A1Cereblon ligands and bifunctional compounds comprising the same357
2WO2016146985A1Derivatives of 1-[(cyclopentyl or 2-pyrrolidinyl)carbonylaminomethyl]-4-(1,3-thiazol-5-YL) benzene which are …249
3US20180215731A1Cereblon ligands and bifunctional compounds comprising the same218
4WO2017201449A1Protac antibody conjugates and methods of use213
5WO2018118598A1Compounds and methods for the targeted degradation of fetal liver kinase polypeptides111
6WO2017211924A1Novel compounds104
7WO2018051107A1Fluorohydroxyproline derivatives useful in the preparation of proteolysis targeted chimeras73
8US20180050021A1Derivatives of 1-[(cyclopentyl or 2-pyrrolidinyl)carbonylaminomethyl]-4-(1,3-Thiazol-5-yl) benzene which are …71
9US20180256586A1Compounds and methods for the targeted degradation of fetal liver kinase polypeptides64
10WO2018033556A1Novel compounds61

Citation counts favour older, more-searched records and should be read as a signal of influence within this corpus, not as a measure of current commercial importance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Targeted Protein Degradation: E3 Ligase Recruitment Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Analysis

What the data means for filing strategy

Three patterns stand out once the ranking, the IPC mix and the citation leaders are read together: concentration at the top, a chemistry-heavy claim style, and citation leadership sitting with cereblon-ligand chemistry rather than newer ligase targets.

Concentration
46.1% of 267 records
held by the top five assignees

The field is led by a small group, not one dominant player

The leader holds 40 records against a fifth-place figure of 17 and a tenth-place figure of 8, a steep drop-off that indicates strong but not monopolistic control. A long tail of the remaining ranked assignees each hold small numbers of records, leaving room for focused entrants that avoid the cereblon-chemistry core.

Source: assignee ranking, 66 companies
Claim framing
79.0% carry A61K
of all 267 records

Most claims are written as medicinal preparations with therapeutic use

Combined A61K and A61P coverage means the bulk of filings pair a compound claim with a stated disease application, which narrows the practical scope of any single patent but also means broad composition-only claims are comparatively rare.

Source: IPC subclass distribution
Citation leadership
357 citations
on the top-cited record

Cereblon-ligand chemistry anchors the most-referenced prior art

The most-cited records in the dataset are cereblon ligand and bifunctional compound filings, several exceeding 200 citations, while antibody-conjugate and kinase-degrader records trail behind. New filings that build on FBXO22 or other non-cereblon ligases sit outside this citation core, for now.

Source: most-cited records table
Underclaimed branches
3.0% carry C07F
of all 267 records

Organo-metallic and nanotechnology claims remain thin

C07F organo-metallic compound claims and B82Y nanotechnology application claims each sit under 5% of records, well below the heterocyclic and peptide classes. That gap suggests these framings have not been heavily tested as claim strategies in this specific mechanism.

Source: IPC subclass distribution
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Targeted Protein Degradation: E3 Ligase Recruitment Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Next Steps

Where to take this analysis

The figures above describe the shape of the field. Turning that into a filing or licensing decision means drilling into specific claims, specific assignees, and the branches that are not yet crowded.

Map a specific E3 ligase target against existing claims

Cereblon and VHL chemistry is dense with prior art; ligases like FBXO22 have far fewer filings against them. Checking a target ligase against the full claim set before drafting avoids collision with the most-cited records.

Explore E3 ligase claims in Eureka

Track the assignees building co-filing relationships

Several academic-industry pairs recur across the co-assignee data, pointing to active collaboration structures worth watching for licensing or partnership signals.

Review assignee relationships in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Targeted Protein Degradation: E3 Ligase Recruitment Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on E3 ligase recruitment patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Targeted Protein Degradation: E3 Ligase Recruitment Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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