Evidence map›Paper›PMID 37775658›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Split-Protein Therapeutic Platforms: Identifying Binder Pairs.

Christine S Nervig, James R Gustat, Shawn C Owen

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Christine S NervigDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT, USA.
James R GustatDepartment of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT, USA.
Shawn C OwenDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT, USA. shawn.owen@hsc.utah.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic proteins, including enzymes, interferons, interleukins, and growth factors, are emerging as important modalities to treat many diseases that elude management by small molecule drugs. One challenge of protein treatment is the propensity for off-target or systemic activity. A promising approach to overcome such toxicity is to create conditionally active constructs by splitting the therapeutic protein into two, or more, inactive fragments and by fusing these fragments to binders (e.g., antibodies) that target distinct epitopes on a cell surface. When these antibodies bind to their respective targets, the protein fragments are brought into proximity and then reconstitute into the active form of the therapeutic protein. In this chapter, we describe approaches to determine antibody pairs that enable the reconstitution of the active protein. General computational and empirical methods are provided to facilitate the identification of pairs starting only from protein sequence data.

Indexed as

AntibodiesProteinsComputational BiologyHumansProtein BindingAntibodiesProteinsAntibodyComplementationComputational modelingConditionally activeProtein engineeringProtein switchSplit-enzyme

Identifiers

PMID37775658

What OpenQuestion holds

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Registered trials

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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.