Evidence map›Paper›PMID 42761335›Full record

ArticleRSC chemical biology2026

Affinity selection mass spectrometry screening discovers new COP1 peptide binders.

Harsha Negi, Noor Radhi, Nicolas Schiff, Sam A Jamieson, Deanna Shea, Martin Middleditch, Robert Mullin, Renata Kowalczyk, Paul W Harris, Peter D Mace and 1 more

Abstract read
In one paragraph

Article in RSC chemical biology, 2026. 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
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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

11 authors.

Harsha NegiDepartment of Cancer Sciences, Faculty of Medical and Health Sciences, University of Auckland 85 Park Rd, Grafton Auckland 1023 New Zealand daniel.conole@auckland.ac.nz.ORCID https://orcid.org/0000-0003-1771-0001
Noor RadhiDepartment of Cancer Sciences, Faculty of Medical and Health Sciences, University of Auckland 85 Park Rd, Grafton Auckland 1023 New Zealand daniel.conole@auckland.ac.nz.ORCID https://orcid.org/0009-0007-3103-0914
Nicolas SchiffSchool of Biological Sciences, University of Auckland 23 Symonds St Auckland 1010 New Zealand.
Sam A JamiesonDepartment of Biochemistry, University of Otago 710 Cumberland St Dunedin 9016 New Zealand.ORCID https://orcid.org/0000-0003-0120-4737
Deanna SheaMass Spectrometry Hub, School of Biological Sciences, University of Auckland 23 Symonds St Auckland 1010 New Zealand.
Martin MiddleditchMass Spectrometry Hub, School of Biological Sciences, University of Auckland 23 Symonds St Auckland 1010 New Zealand.
Robert MullinSchool of Biological Sciences, University of Auckland 23 Symonds St Auckland 1010 New Zealand.ORCID https://orcid.org/0009-0000-0090-4286
Renata KowalczykSchool of Biological Sciences, University of Auckland 23 Symonds St Auckland 1010 New Zealand.ORCID https://orcid.org/0000-0002-0009-5869
Paul W HarrisSchool of Biological Sciences, University of Auckland 23 Symonds St Auckland 1010 New Zealand.ORCID https://orcid.org/0000-0002-2579-4543
Peter D MaceDepartment of Biochemistry, University of Otago 710 Cumberland St Dunedin 9016 New Zealand.ORCID https://orcid.org/0000-0003-2175-9537
Daniel ConoleDepartment of Cancer Sciences, Faculty of Medical and Health Sciences, University of Auckland 85 Park Rd, Grafton Auckland 1023 New Zealand daniel.conole@auckland.ac.nz.ORCID https://orcid.org/0000-0002-3389-8377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting E3 ubiquitin ligases with chemical probes remains a major challenge, despite their central roles in cellular regulation and disease. Constitutive photomorphogenic 1 (COP1) is an E3 ligase whose complex, adaptor-dependent biology has made its selective targeting difficult. Here, we develop a peptide-based affinity selection mass spectrometry (Pep-AS-MS) platform to discover new peptide based COP1 binders. Leveraging a mass spectrometry compatible library design, fluorescence-guided selection optimisation, and an open-source software driven target-decoy database strategy for peptide identification and quantification, we enable hit ranking from highly complex combinatorial libraries. Using this approach, we identify and validate six previously unreported COP1-binding peptides, including ligands with binding potencies comparable to the native TRIB1 motif. This work establishes a quantitative and accessible Pep-AS-MS framework for ligand discovery against challenging protein-protein interaction targets and provides new chemical tools to interrogate COP1 biology.

Identifiers

PMID42761335
PMCPMC13586983

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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.