Evidence map›Paper›PMID 40433759›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Protein Secondary Structure Patterns in Short-Range Cross-Link Atlas.

Alice Vetrano, Alessio Di Ianni, Nico Di Fonte, Gianluca Dell'Orletta, Samantha Reale, Isabella Daidone, Claudio Iacobucci

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. 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. Protein Secondary Structure Patterns in Short-Range Cross-Link Atlas.Angewandte Chemie (International ed. in English) · 2025
    Article
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

7 authors.

Alice Vetrano *Department of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, L'Aquila, 67100, Italy.
Alessio Di Ianni *Department of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, L'Aquila, 67100, Italy.
Nico Di FonteDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, L'Aquila, 67100, Italy.
Gianluca Dell'OrlettaDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, L'Aquila, 67100, Italy.
Samantha RealeDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, L'Aquila, 67100, Italy.
Isabella DaidoneDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, L'Aquila, 67100, Italy.
Claudio IacobucciDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, L'Aquila, 67100, Italy.ORCID 0000-0001-9592-3606

Funding

European Union NextGeneration EU CUP E53D23021440001European Union NextGeneration EU PRIN 2022 PNRREuropean Union NextGeneration EU Project P20224WAMEEuropean Union NextGeneration EU under the Italian Ministry of University and Research (MUR) National Innovation Ecosystem CUP E13C22001060006European Union NextGeneration EU under the Italian Ministry of University and Research (MUR) National Innovation Ecosystem ECS00000041European Union NextGeneration EU under the Italian Ministry of University and Research (MUR) National Innovation Ecosystem VITALITYItalian Ministry of University and Research (MUR) CUP E53D23007110006Italian Ministry of University and Research (MUR) Master CUP G53D23002450006Italian Ministry of University and Research (MUR) PRIN 2022Italian Ministry of University and Research (MUR) Project 20225HNCZK
6 · The paper itself

Abstract

Cross-linking mass spectrometry (XL-MS) has become a powerful tool in structural biology for investigating protein structure, dynamics, and interactomics. However, short-range cross-links, defined as those connecting residues fewer than 20 positions apart, have traditionally been considered less informative and largely overlooked, leaving significant data unexplored in a systematic manner. Here, we present a system-wide analysis of short-range cross-links, demonstrating their intrinsic correlation with protein secondary structure. We introduce the X-SPAN (Cross-link Structural Pattern Analyzer) software, which integrates publicly available XL-MS datasets from system-wide experiments with AlphaFold-predicted protein structures. Our analysis reveals distinct cross-linking patterns that reflect the spatial constraints imposed by secondary structural elements. Specifically, α-helices exhibit periodic cross-linking patterns consistent with their characteristic helical pitch, whereas coils and β-strands display nearly monotonic distributions. A context-dependent protein grammar reinforces short-range cross-link specificity. Short-range cross-links can enhance the statistical inference of secondary structures within integrative modeling workflows. Additionally, our work establishes a framework for benchmarking AlphaFold's local prediction accuracy and provides novel quality control criteria for XL-MS experiments. We anticipate that X-SPAN and our short-range cross-link database will serve as a valuable resource for exploring local secondary structure rearrangements and their potential roles in protein function and allosteric regulation.

Indexed as

Cross-Linking ReagentsProteinsDatabases, ProteinMass SpectrometryProtein Structure, SecondarySoftwareCross-Linking ReagentsProteinsChemical proteomicsCross‐linkingMass spectrometryStructural biologyStructural proteomics

Identifiers

PMID40433759
PMCPMC12304803

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.