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Drug-to-Antibody Ratio Patents: Leaders, Trends & White Space 2026

Drug-to-Antibody Ratio Patents: Leaders, Trends & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/drug-to-antibody-ratio-characterization-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Life Science Tools
Drug-to-Antibody Ratio Characterization Patents: Who Files, and Where the Field Is Still Open
  • 22.5% concentration at the top. The five leading assignees hold 2,260 of 10,047 records in scope — dense claim coverage around a small group of ADC originators, not a fragmented field.
  • Filing has cooled since 2024. Annual filings peaked at 833 in 2024 after climbing from 693 in 2017; the 2026 count of 67 is a partial year, not a collapse, but momentum has flattened since the 2022 midpoint of 609.
  • Analytical-method classes are thin. G01N (material analysis and testing) covers only 11.1% of records and C12Q (enzyme/DNA-based measurement) just 4.0% — most of the claim density sits in composition-of-matter classes, not in the characterization methods themselves.
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10K
Published Records
22%
Top-5 Share of All Records
+54%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (541 records) with 2024 (833) — 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 10,047 records in scope (CR5), not by the ranked leaders only.

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

What this landscape covers

Drug-to-antibody ratio (DAR) characterization sits at the intersection of antibody-drug conjugate (ADC) chemistry and analytical method development. This landscape tracks 10,047 records filed between 2015 and mid-2026 that combine ADC/conjugate subject matter with methods such as hydrophobic interaction chromatography, native mass spectrometry, unconjugated antibody quantification, method comparability and specification setting. The scope captures both the payload-linker chemistry that defines a conjugate’s DAR and the analytical claims used to measure and control it.

Because publication typically lags filing by around 18 months, the most recent year in the trend is always an undercount — 2026 in particular should be read as partial, not as a real decline.

Filing activity and technology composition
  1. 1SEAGEN INC684
  2. 2PFIZER INC472
  3. 3ABBVIE INC372
  4. 4AGENSYS INC371
  5. 5ABBVIE STEMCENTRX LLC361
  6. 6ATYR PHARM INC352
  7. 7PANGU BIOPHARMA LTD338
  8. 8GENMAB AS326
  9. 9REGENERON PHARMACEUTICALS INC306
  10. 10GENENTECH INC278
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Drug-to-Antibody Ratio Characterization 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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The Data

Filing trends and technology composition

Two views of the same 10,047-record corpus: how filing activity has moved year over year, and which IPC subclasses carry the claim density.

Filing trend, 2017-2026

Filings rose from 693 in 2017 to a peak of 833 in 2024, passing through 609 at the 2022 midpoint. The 2026 figure of 67 reflects a partial year under the publication lag, not a sudden drop-off; the honest read is a plateau since 2022 rather than continued growth.

Filing trend, 2017-202602505007501,000693201720182019202020212022202383320242025672026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

A61K (medicinal preparations) appears on 82.7% of records and C07K (peptides and proteins) on 60.5%, confirming this is fundamentally a composition-of-matter field. Analytical-method classes are comparatively thin: G01N sits at 11.1% and C12Q at 4.0% of the 10,047 records, meaning most protection is built around the conjugate itself rather than the measurement method used to characterize it.

IPC subclass compositionA61K · Medicinal preparations8,30682.7%C07K · Peptides & proteins6,07860.5%A61P · Therapeutic activity of compou…4,55845.4%C12N · Microorganisms & genetic engin…1,36613.6%G01N · Material analysis & testing1,11211.1%C07D · Heterocyclic compounds7477.4%C12P · Fermentation & enzymatic synth…4144.1%C12Q · Measuring & testing involving …3994.0%Other1,21212.1%

Shares are the percentage of the 10,047 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 Drug-to-Antibody Ratio Characterization 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 filing

Representative filing
US20210102951A12021-04-08

US20210102951A1 — Hydrophobic interaction chromatography-coupled native mass spectrometry for antibody analysis

REGENERON PHARMACEUTICALS, INC.

The present invention provides rapid, sensitive high-throughput methods and systems for characterizing peptides or proteins using hydrophobic interaction chromatography-coupled native mass spectrometry to improve manufacturing process of biopharmaceutical products, such as identifying impurities during antibody purification, monitoring post-translational modification variants during production, or characterizing drug-to-antibody ratio of antibody-drug conjugates. The separation profiles of the peptides or proteins are generated and compared to identify or qualify the peptides or proteins.Filed by Regeneron Pharmaceuticals, Inc., published 2021-04-08.

US20210102951A1 — patent drawing 1US20210102951A1 — patent drawing 2
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Highest-cited records in scope
#Publication no.Patent titleCitations
1US7498298B2Monomethylvaline compounds capable of conjugation to ligands2,746
2US20050238649A1Monomethylvaline compounds capable of conjugation to ligands1,652
3WO1992008802A1Bispecific antibodies, method of production, and uses thereof975
4WO2005081711A2Monomethylvaline compounds capable of conjugation to ligands858
5US7723485B2Cysteine engineered anti-MUC16 antibodies and antibody drug conjugates637
6WO2012059882A2Engineered polypeptide conjugates and methods for making thereof using transglutaminase476
7WO2002078524A2Translational profiling410
8US20080305044A1Engineered Antibodies and Immunoconjugates399
9US20100129314A1Potent conjugates and hydrophilic linkers382
10WO2009117531A1Auristatin drug linker conjugates370

Citation counts inside a searched corpus favor older filings that have had more time to accumulate references; treat this as a signal of influence on the field, not 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 Drug-to-Antibody Ratio Characterization 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 strategy

Three patterns stand out once the raw counts are put in context: where claim density concentrates, how filing momentum has moved, and which analytical routes remain comparatively open.

Concentration
22.5% / top 5
share of 10,047 records

A small group holds a disproportionate share

The five leading assignees account for 2,260 of the 10,047 records in scope, and the top ten reach 3,860, or 38.4%. That is dense coverage concentrated among ADC originators and their platform partners rather than a field spread evenly across many filers.

Filing near this cluster means checking freedom-to-operate against a handful of large portfolios first.
Momentum
833 in 2024
peak filing year

Growth has flattened since 2022

Annual filings rose from 693 in 2017 to a peak of 833 in 2024, passing through 609 at the 2022 midpoint. The plateau since then, combined with a partial 2026 count of 67, suggests the field is maturing rather than still expanding.

New entrants should expect denser prior art than a straight extrapolation of early growth would imply.
Claim density by class
82.7% A61K
of 10,047 records

Composition claims dominate over method claims

A61K appears on 82.7% of records and C07K on 60.5%, while G01N — the class most associated with analytical characterization methods — sits at just 11.1%. Claim space around the conjugate chemistry itself is far more crowded than the analytical method space around measuring it.

The gap between composition and method claim density is where a characterization-method filing has the most room to move.
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to drug-to-antibody ratio characterization, 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 Drug-to-Antibody Ratio Characterization 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 gate sits

The ranked leaders in this dataset cover 100 companies; the concentration at the very top tells more about competitive posture than the long tail does.

Leader
684 records
top-ranked assignee

One filer sits well ahead of the field

The leading assignee holds 684 records against 361 at fifth place and 278 at tenth, a steep drop-off that marks this as a field with one dominant filer rather than several evenly matched ones.

Co-assignee pairs above 290 shared filings point to close platform partnerships behind that lead position.
Recent momentum
-53% to -80% YoY
across active filers

Even active filers are pulling back

Assignees still filing in the latest year are doing so at reduced volume — year-over-year changes across the group range from roughly -53% to -80%, with only single-digit counts for most. This is consistent with the broader plateau in the filing trend rather than an isolated slowdown at any one company.

A cooling top of the field is often when smaller filers find room to stake out specific method claims.
Receiving offices
US 1,987 filings
leading office

Filing is US-centric with strong EPO and PCT routes

The United States leads with 1,987 filings, followed by Europe (EPO) at 1,371 and WIPO/PCT at 1,137, with Australia, Israel and Canada each above 650. That spread indicates applicants are pursuing broad multi-jurisdiction protection rather than concentrating in a single market.

A method-specific filing aimed at a single underserved office may face less crowded prior art than a US-first strategy.
🔍
Under-claimed sub-areas worth checking before filing
These sit below the dense composition-of-matter core and show comparatively thin analytical-method coverage.
Native MS charge-state deconvolution workflowsHIC-MS hyphenation for real-time DAR monitoringUnconjugated antibody quantification assaysMethod comparability protocols across manufacturing sitesEnzymatic release-based DAR measurement (C12P/C12Q)
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Regeneron Pharmaceuticals, Inc.8-53%
Seagen Inc.2-80%
Agensys, Inc.2-60%
Genmab A/S2-78%
Pfizer Inc.10%
AbbVie Inc.1-75%
aTyr Pharma, Inc.0
AbbVie Stemcentrx LLC0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Drug-to-Antibody Ratio Characterization 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 a field with dense composition claims but comparatively open analytical-method space. Turning that into a filing or freedom-to-operate decision means going deeper on specific claim scope.

Map freedom-to-operate against the leading portfolios

With 22.5% of all records held by five assignees, a targeted claim-scope review of that cluster is a faster first step than a broad landscape search.

Explore assignee portfolios in Eureka

Pressure-test a method-claim angle

G01N and C12Q classes remain thin relative to A61K and C07K, suggesting room for a well-drafted analytical-method claim distinct from conjugate composition claims.

Run a claim-gap search in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Drug-to-Antibody Ratio Characterization 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 this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Drug-to-Antibody Ratio Characterization 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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