https://www.patsnap.com/resources/blog/rd-blog/degrader-pharmacokinetics-and-modality-limits-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Targeted Protein Degradation
Degrader Pharmacokinetics and Modality Limits: Where the Patents Actually Sit
  • 32.5% concentration at the top. The five most active assignees hold 981 of 3,016 records in scope — a third of the field sits with a handful of filers, not a long tail.
  • Filing has cooled, not collapsed. From 2021 to 2024, the last fully comparable years, filings fell 129 from 153 — a 16% pullback, not a retreat from the space.
  • A61K and C07D dominate the claim map. 79.9% of records touch medicinal preparations and 61.2% touch heterocyclic compounds, leaving organo-metallic and peptide-based routes comparatively open.
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3,016
Published Records
33%
Top-5 Share of All Records
-16%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (153 records) with 2024 (129) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 3,016 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

Degraders solve a target-engagement problem but inherit a pharmacokinetics problem: high molecular weight, poor membrane permeability and efflux liability routinely cap oral exposure long before potency becomes the limiting factor. This landscape tracks the patent activity built around that constraint — filings that address molecular weight penalty, metabolic stability, formulation enabling and tissue distribution alongside degrader-specific chemistry, rather than degrader mechanism of action alone.

The scope spans 3,016 published records filed between 2015 and 2026, drawn from applicants ranging from large pharmaceutical originators to university technology-transfer offices and single-asset biotechs. Because publication lags filing by roughly 18 months, the 2025 and 2026 counts in the trend are still filling in and understate real filing activity in those years.

Filing activity and technology composition, 2015-2026
  1. 1ARDELYX INC299
  2. 2ASTEX THERAPEUTICS LTD266
  3. 3UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION154
  4. 4KUMQUAT BIOSCIENCES INC141
  5. 5CANCER RESEARCH TECHNOLOGY LTD121
  6. 6BAYER PHARMA AG78
  7. 7ASTRAZENECA AB76
  8. 8OTSUKA PHARM CO LTD70
  9. 9VERTEX PHARMACEUTICALS INC68
  10. 10ONCOETHIX65
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Degrader Pharmacokinetics and Modality Limits covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Data

Filing trend and technology composition

Two views of the same 3,016-record corpus: how filing volume has moved year over year, and which IPC subclasses carry the claim density.

Filing trend, 2017-2026

Filings peaked in 2018 at 214 and have since settled into a lower, more stable band; the 2021-to-2024 comparison (153 to 129, a 16% decline) is the most reliable recent read, since later years are still being published.

Filing trend, 2017-2026063125188250139201721420182019202020212022202320242025242026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

A61K (medicinal preparations, 79.9% of records) and C07D (heterocyclic compounds, 61.2%) anchor the field; C07F organo-metallic chemistry (10.1%) and C07K peptides (5.7%) are present but comparatively thin, and A01N biocide-adjacent filings (3.8%) sit at the field's edge.

IPC subclass compositionA61K · Medicinal preparations2,40979.9%C07D · Heterocyclic compounds1,84761.2%A61P · Therapeutic activity of compou…1,74557.9%C07F · Organo-metallic & non-carbon c…30610.1%C07C · Acyclic & carbocyclic compounds2568.5%C07K · Peptides & proteins1715.7%A01N · Biocides / agrochemicals1153.8%G01N · Material analysis & testing1073.5%Other45014.9%

Shares are the percentage of the 3,016 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 Degrader Pharmacokinetics and Modality Limits covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Most-cited records and a representative recent filing

Representative Recent Filing
WO2025054244A12025-03-13

WO2025054244A1 — Cellular data library and methods of using the same (Cellarity, Inc.)

CELLARITY, INC.

The disclosure relates, inter alia, to a library of transcriptional data, and methods for assembling and using same.Filed 2025-03-13, this record sits at the data-infrastructure edge of the field rather than in composition-of-matter claims — a marker of how PK optimisation work is increasingly supported by computational and data-library filings alongside chemistry claims.

WO2025054244A1 — patent drawing 1WO2025054244A1 — patent drawing 2
View full record
Most-cited records in this corpus
#Publication no.Patent titleCitations
1WO2012034091A1Imidazo [1, 2] pyridazin compounds and compositions as TRK inhibitors183
2US20050209246A1Prodrugs of piperazine and substituted piperidine antiviral agents183
3WO2012084711A1N-substituted azetidine derivatives168
4WO2019167000A1Pharmaceutical compounds155
5WO2012006475A1Compounds and methods for inhibiting phosphate transport142
6US7745625B2Prodrugs of piperazine and substituted piperidine antiviral agents140
7WO2007059312A2Methods and compositions comprising non-natural amino acids125
8US8637516B2Compounds and compositions as TRK inhibitors122
9WO2013025805A1Substituted (e)-n'-(1-phenylethylidene) benzohydrazide analogs as histone demethylase inhiitors120
10WO2009091388A2Triazines and related compounds having antiviral activity, compositions and methods thereof119

Citation counts favour older filings simply because they have had longer to accumulate citations inside this searched corpus — treat them as evidence of influence on subsequent claim drafting, not as a ranking of current technical 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 Degrader Pharmacokinetics and Modality Limits covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Three readings of the same dataset, aimed at where to file, who to watch, and where claim space is still open.

Concentration
32.5%
of 3,016 records held by top 5 assignees

A third of the field sits with five filers

981 of the 3,016 records in scope belong to the five most active assignees, with the leader alone holding 299. That is real concentration in composition-of-matter and formulation claims touching PK limitation, but it still leaves two-thirds of the corpus distributed across the remaining ranked assignees and unranked single-filers.

Top 5 combined, 981 of 3,016 records
Momentum
-16%
filing change, 2021 to 2024

A cooling field, not an exiting one

Filings dropped from 153 in 2021 to 129 in 2024, a 16% pullback over the only three-year span in this dataset that is fully comparable. That is consistent with a field consolidating around known chemotypes rather than one being abandoned — several of the largest historical filers show sharply reduced or zero filings in the latest year, which reads as portfolio maturity as much as retreat.

2021: 153 records → 2024: 129 records
Composition
10.1%
of records in C07F (organo-metallic compounds)

Organo-metallic and peptide routes are thinner

A61K and C07D carry the bulk of claim density, at 79.9% and 61.2% of records respectively. C07F organo-metallic chemistry (10.1%) and C07K peptide and protein claims (5.7%) are present but far less crowded, which is where structurally distinct PK-mitigation approaches are more likely to clear prior art.

C07F 306 records; C07K 171 records, of 3,016 total
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to degrader pharmacokinetics and modality limits, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Degrader Pharmacokinetics and Modality Limits covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the activity has gone quiet

The ranked assignee list returns 100 companies scored by family count; a handful of academic, mid-cap and large-pharma filers account for the concentration at the top, while momentum in the latest year has slowed sharply even among the leaders.

Leader
299 records
single largest assignee

The top filer sets the ceiling

The leading assignee holds 299 of the 3,016 records in scope, roughly a third larger than the fifth-place holder at 121. That gap suggests a genuinely dominant position in this specific claim space rather than a crowded top tier.

Leader: 299 · Fifth place: 121
Mid-tier
65 records
tenth-ranked assignee

A steep drop after the top ten

By tenth place, family counts have fallen to 65 — well under a quarter of the leader's total. Combined, the top ten hold 1,338 records, 44.4% of all records in scope, which means more than half the corpus is spread thin across the remaining ranked and unranked filers.

Top 10 combined: 1,338 of 3,016 records, 44.4%
Momentum
0 in latest year
for several historically active filers

Several leaders have gone quiet

More than one of the most historically active assignees in this corpus, including academic and mid-cap filers, show zero filings in the latest tracked year, and one large filer with a strong recent run is down 59% year over year. That does not necessarily mean exit — it is consistent with the 18-month publication lag masking work still in the pipeline.

Multiple leaders at 0 filings in latest year
🔍
Under-claimed sub-areas worth watching
Branches with comparatively low IPC density relative to the field's core, based on the composition breakdown above.
organo-metallic warhead linkerspeptide-based degrader scaffoldsefflux-liability formulation claimstissue-distribution biomarker methodsmetabolic-stability prodrug design
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Kumquat Biosciences Inc7-59%
Ardelyx Inc0-100%
Astex Therapeutics Ltd0—
University of Tennessee Research Foundation0—
Cancer Research Technology Ltd0—
Bayer Pharma AG0—
AstraZeneca AB0—
Otsuka Pharmaceutical Co., Ltd.0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Degrader Pharmacokinetics and Modality Limits covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The dataset points to specific next steps depending on whether the goal is freedom-to-operate, portfolio strategy or scouting.

Map claims against the under-claimed branches

Organo-metallic and peptide-based routes carry a fraction of the claim density seen in A61K and C07D. A targeted search inside those subclasses can surface whether a specific structural approach is genuinely open or simply under-indexed.

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Track the assignees that have gone quiet

Several top-ten filers show zero or sharply reduced activity in the latest year. Watching for renewed filing, licensing moves or continuation activity from those assignees is a cheap way to catch a re-entry early.

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Use families, not documents, for freedom-to-operate

With 3,016 published records collapsing to 3,016 tracked families in this corpus, family-level analysis avoids overweighting continuation-heavy applicants when scoping a clearance search.

Run a family-level search in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Degrader Pharmacokinetics and Modality Limits covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on degrader pharmacokinetics patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Degrader Pharmacokinetics and Modality Limits covering 2015–2026, data cut-off 2026-07-31. 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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