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Protein Chromatography Gradient Elution Patents: Top Filers & Trends 2026

Protein Chromatography Gradient Elution Patents: Top Filers & Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/protein-chromatography-gradient-elution-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Protein Chromatography
Protein Chromatography Gradient Elution Patents: Who Files, and Where the Gaps Sit
  • Concentrated at the top. The five most active filers hold 28.1% of all 13,035 records in scope, and the top ten hold 34.5% — the rest is a long tail of single- and few-filing entrants.
  • Filing has cooled from its 2020 peak. Activity peaked at 241 records in 2020; the complete-year comparison shows filings down 43% from 191 in 2021 to 108 in 2024.
  • Separation-process claims are the thinnest layer. B01D (separation processes) covers only 16.6% of records against 72.8% for C07K peptide claims — most of the crowding sits in the molecule, not the separation step itself.
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13K
Published Records
28%
Top-5 Share of All Records
-43%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (191 records) with 2024 (108) — 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 13,035 records in scope (CR5), not by the ranked leaders only.

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

What this landscape covers

This dataset tracks 13,035 published records at the intersection of affinity and chromatographic purification methods — protein A chromatography, elution gradient control, buffer pH and salt-concentration strategies, peak resolution and pool collection — filed against IPC classes covering separation processes, peptide chemistry and enzyme production. It spans filings from 2015 through the 2026 data cut-off, though publication lag means the most recent one to two years are still filling in.

The records split unevenly between the biology being purified and the separation step used to purify it. Peptide and microorganism engineering classes dominate the corpus, while dedicated separation-process claims under B01D remain a comparatively narrow slice — a gap worth checking before assuming a gradient-elution method is already well covered.

Filing activity and technology composition, 2015–2026
  1. 1GENENTECH INC2,508
  2. 2HUMAN GENOME SCI INC369
  3. 3THE SCRIPPS RES INST280
  4. 4ATYR PHARM INC260
  5. 5REGENERON PHARMACEUTICALS INC249
  6. 6PANGU BIOPHARMA LTD218
  7. 7CURAGEN CORP163
  8. 8F HOFFMANN LA ROCHE & CO AG155
  9. 9BAYER AG151
  10. 10RGT UNIV OF CALIFORNIA144
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Protein Chromatography Gradient Elution 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 trend and technology composition

Two views of the same 13,035 records: how filing activity has moved year over year, and which IPC subclasses carry the claims.

Filing trend, 2017–2026

Filings rose from 189 in 2017 to a peak of 241 in 2020, then eased to 108 by 2024 — a 43% decline over the 2021-to-2024 window that data-cut confirms as complete. 2025 and 2026 figures will rise as publication catches up, so treat the tail as a floor, not a trend.

Filing trend, 2017–202606312518825018920172018201924120202021202220232024202572026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition by IPC subclass

C07K (peptides and proteins) and C12N (microorganisms and genetic engineering) each cover more than seven in ten records, reflecting how tightly purification claims are bundled with the biologic itself. B01D, the separation-process class most directly tied to gradient elution hardware and method, covers 16.6% of records — the smallest share of the eight subclasses tracked, and a signal of where method-level claim space is least occupied.

Technology composition by IPC subclassC07K · Peptides & proteins9,48472.8%C12N · Microorganisms & genetic engin…9,31871.5%A61K · Medicinal preparations5,74044.0%C12P · Fermentation & enzymatic synth…5,70443.8%G01N · Material analysis & testing4,89037.5%C12Q · Measuring & testing involving …3,70628.4%C07H · Sugars & nucleic acids3,58127.5%B01D · Separation processes (filtrati…2,16416.6%Other9,29371.3%

Shares are the percentage of the 13,035 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 Protein Chromatography Gradient Elution 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

Representative and most-cited filings

Representative filing
CA2995385A12017-02-23

CA2995385A1 — Purification of FKBP-type peptidyl-prolyl cis-trans isomerase (FkpA) and uses for recombinant polypeptide production

GENENTECH, INC.

The application describes methods for producing FkpA polypeptides at very high purity and for purifying other polypeptides, including multispecific antibodies, made in bacteria that overexpress chaperones such as FkpA. The purification route combines affinity chromatography, mixed-mode chromatography and hydrophobic interaction chromatography, with the resulting ultrapure FkpA used in immunoassays to confirm its removal from bacterially produced biologics.Filed by Genentech, Inc., dated 2017-02-23.

View full filing
Most-cited records in this corpus
#Publication no.Patent titleCitations
1US5641870ALow pH hydrophobic interaction chromatography for antibody purification4,432
2US4769061AInhibition resistant 5-enolpyruvyl-3-phosphoshikimate synthase, production and use2,191
3WO2000060060A2Polypeptides having alkaline alpha-amylase activity and nucleic acids encoding same2,067
4US4667025AOligonucleotide derivatives1,864
5US4789737AOligonucleotide derivatives and production thereof1,742
6WO2005052146A2Serine proteases, nucleic acids encoding serine enzymes and vectors and host cells incorporating same1,591
7WO2002010355A2Alpha-amylase mutants with altered stability1,587
8US6946292B2Cells producing antibody compositions with increased antibody dependent cytotoxic activity1,044
9US4535060AInhibition resistant 5-enolpyruvyl-3-phosphoshikimate synthetase, production and use1,039
10WO2002099091A2Endo-beta-1,4-glucanase from bacillus935

Citation counts reflect a corpus skewed toward older filings; treat them as a measure of influence on later work, not as a ranking of present-day 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 Protein Chromatography Gradient Elution 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 filing strategy

Three patterns stand out once records are grouped by assignee, year and IPC class.

Concentration
28.1% held by top 5
of 13,035 records

A narrow group holds a disproportionate share

The five most active assignees account for 28.1% of all records in scope, and the ranked ten reach 34.5%. That leaves roughly two-thirds of the corpus spread across a long tail of occasional filers — a structure typical of a field with a handful of platform holders and many single-application entrants.

Based on the full 100-company ranking returned for this dataset.
Momentum
-43% (2021→2024)
complete-year filings

Filing volume has pulled back from its 2020 peak

After peaking at 241 records in 2020, filings fell across the last complete comparison window, from 191 in 2021 to 108 in 2024. The 2025–2026 counts are not yet comparable given publication lag, so this decline should be read as the most recent reliable signal, not the end of the story.

Peak year 2020; latest complete year 2024.
Technology mix
16.6% B01D coverage
of 13,035 records

Separation-process claims are the least crowded layer

Peptide (C07K) and microorganism engineering (C12N) classes each appear in over 70% of records, but dedicated separation-process claims under B01D appear in only 16.6%. Method-level gradient elution and buffer-control claims sit on a thinner base than the biologic claims layered on top of them.

IPC shares sum above 100% because records carry multiple classes.
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Co-filing patterns
AssigneeCo-assigneeShared families
ROSEN CRAIG ARUBEN STEVEN M190
aTyr Pharma, Inc.Pangu Biopharma Limited178
ROSEN CRAIG ABARASH STEVEN C168
RUBEN STEVEN MBARASH STEVEN C167
Human Genome Sciences, Inc.ROSEN CRAIG A133
Human Genome Sciences, Inc.RUBEN STEVEN M131
Human Genome Sciences, Inc.BARASH STEVEN C128
The Scripps Research InstituteThe Regents of the University of California59

Co-assignee pairing is limited in this corpus — 10 pairs recorded — with the strongest pairing appearing 190 times, suggesting most purification method claims are filed by a single assignee rather than jointly developed.

Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Protein Chromatography Gradient Elution 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 activity has cooled

Filing leadership sits with a small set of biologics developers and research institutes; recent-year momentum has slowed even among the largest historical filers.

Leader
2,508 records
leading assignee

One filer dominates the ranked field

The leading assignee holds 2,508 records, well ahead of the fifth-place holder at 249 and the tenth at 144 — a steep drop-off that marks this as a field with one dominant platform holder rather than several evenly matched competitors.

Gap between rank 1 and rank 5 exceeds an order of magnitude.
Momentum
0 in latest year
several established filers

Recent-year activity has gone quiet among historical leaders

Several of the most historically active assignees, including major pharmaceutical and research-institute filers, show zero records in the latest tracked year, with at least one recording a full year-on-year drop. This is consistent with the broader 2021–2024 pullback rather than any single company's retreat.

Recent-year momentum reflects publication lag as well as filing behaviour.
Co-filing
190 max pair count
strongest co-assignee pair

Joint filings are rare and concentrated

Only 10 co-assignee pairs appear in this corpus, and the strongest pairing recurs 190 times. Co-filing is not how most of this field's claim space gets built — it is largely single-assignee territory.

10 pairs recorded across the full ranking.
🔍
Under-claimed sub-areas worth checking before filing
These branches show thinner claim density relative to the biologic classes layered above them.
Multi-modal gradient control methodsReal-time pool-collection cut-point sensingSalt-concentration ramping for viral clearanceLow-pH hold step optimisationContinuous chromatography buffer formulation
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
F. Hoffmann-La Roche AG1
Genentech, Inc.0
Human Genome Sciences, Inc.0
The Scripps Research Institute0
Regeneron Pharmaceuticals, Inc.0-100%
aTyr Pharma, Inc.0
ROSEN CRAIG A0
RUBEN STEVEN M0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Protein Chromatography Gradient Elution 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 next

The dataset points to a few concrete next steps for teams working on purification method claims.

Check the separation-process layer before filing

With B01D coverage at only 16.6% of records against 70%-plus for the biologic classes, a freedom-to-operate check on the method step specifically — rather than the molecule — is likely to surface less prior art than expected.

Explore method-level claims in Eureka

Track the leader-to-long-tail gap

With the top five holding 28.1% of records and a long tail making up the rest, watch for new entrants filing single applications in the under-claimed sub-areas rather than competing directly with the platform holder.

Run an assignee-level search in Eureka

Revisit trend conclusions after 2026 data settles

Because publication lags filing by roughly 18 months, the apparent slowdown into 2025 and 2026 should be re-checked once those years are complete, using 2024 as the last reliable comparison point.

Set a monitoring alert in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Protein Chromatography Gradient Elution 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 about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Protein Chromatography Gradient Elution 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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