Evidence map›Paper›PMID 41410908›Full record

ReviewBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2026

Conditionally Activatable Antibody Platforms: Mechanisms, Modalities, and Clinical Translation Potential.

Namyeong Kim, Inchan Kwon

Abstract readReview
PubMed Publisher
In one paragraph

Review in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Namyeong KimDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), 123 Cheomdan gwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea.
Inchan KwonDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), 123 Cheomdan gwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea. inchan@gist.ac.kr.ORCID http://orcid.org/0000-0003-0806-4116

Funding

National Research Foundation of Korea RS-2023-00208041
6 · The paper itself

Abstract

Conditionally activatable antibodies represent a promising strategy to improve the therapeutic index of antibody-based drugs by restricting their activity to disease sites, thereby minimizing systemic toxicity. These engineered platforms leverage disease-associated cues-such as protease activity, pH, redox gradients, or other microenvironmental factors-to modulate antigen binding or effector function in a spatially and temporally controlled manner. In this review, we categorize recent advances in activatable antibody technologies into three principal strategies: (1) masking domains or peptides that block target recognition until removed by disease-specific triggers, (2) structural rearrangement by fusing external domains to antibodies to regulate access to the paratope, and (3) payload activation approaches in antibody-drug conjugates. We summarize key design principles, representative examples, and their preclinical or clinical development status, highlighting strengths, limitations, and translational challenges. Special attention is given to linker chemistry, trigger specificity, and pharmacokinetic considerations that influence therapeutic performance. Finally, we discuss emerging trends, including multi-input activation systems and integration with next-generation modalities such as bispecific antibodies and immune cell engagers, which could further refine target selectivity and broaden therapeutic applications. This overview highlights representative advances to guide the rational design of future activatable antibody platforms and to accelerate their progression toward clinical use.

Indexed as

AntibodiesImmunoconjugatesAnimalsAntibodies, BispecificHumansAntibodiesAntibodies, BispecificImmunoconjugates

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.