Evidence map›Paper›PMID 42860805›Full record

ArticleChemMedChem2026

Limiting Trial-and-Error: Linker-Based 2D Descriptor Analysis to Support Very Early Proteolysis-Targeting Chimeras Design.

Giulia Apprato, Serena Traversa, Giulia Caron, Giuseppe Ermondi

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In one paragraph

Article in ChemMedChem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Giulia AppratoDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Torino, Italy.ORCID https://orcid.org/0000-0001-6906-2849
Serena TraversaDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Torino, Italy.ORCID https://orcid.org/0009-0004-2713-9624
Giulia CaronDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Torino, Italy.ORCID https://orcid.org/0000-0002-2417-5900
Giuseppe ErmondiDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Torino, Italy.ORCID https://orcid.org/0000-0003-3710-3102

Funding

Università degli Studi di Torino
6 · The paper itself

Abstract

Targeted protein degradation has emerged as a clinically validated therapeutic strategy, culminating in the recent FDA approval of the first proteolysis-targeting chimeras (PROTAC) drug (VEPPANU). Within PROTACs, the linker plays a central role in modulating degradation efficiency as well as physicochemical and in vitro absorption, distribution, metabolism, and excretion properties, yet linker optimization still largely relies on empirical "linkerology" approaches. Here, we investigated whether simple 2D linker descriptors could provide informative insights for very early-stage PROTAC design. Four matched PROTAC series, including both cereblon- and von Hippel-Lindau-recruiting degraders, were retrospectively analyzed using a workflow combining the in-house Bellerophon-based linker extraction with principal component analysis. Selected descriptors captured linker hydrophobicity, polarity, flexibility, and topology and were correlated with experimental degradation, permeability, solubility, lipophilicity, protein binding, and metabolic stability data. In several datasets, linker-dependent trends associated with the molecular properties of degraders and their degradation efficiency were identified, particularly for von Hippel-Lindau-based PROTACs. Although the limited size of currently available datasets prevents broad generalization, this work highlights the potential of simple descriptor-based analyses to support early candidate prioritization and reduce unnecessary synthetic efforts.

Indexed as

Drug DesignHumansHydrophobic and Hydrophilic InteractionsMolecular StructureProteolysisProteolysis Targeting ChimeraVon Hippel-Lindau Tumor Suppressor ProteinProteolysis Targeting ChimeraVon Hippel-Lindau Tumor Suppressor Proteindegradationlinkermolecular propertiesPCAPROTAC

Identifiers

PMID42860805
PMCPMC13655484

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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.