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Cited by 1Protein Structure and DynamicsMass Spectrometry Techniques and ApplicationsAdvanced Proteomics Techniques and Applications

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Protein Secondary Structure Patterns in Short‐Range Cross‐Link Atlas

Open access
Vetrano, Alice, Di Ianni, Alessio, Di Fonte, Nico, Dell'Orletta, Gianluca, Reale, Samantha, Daidone, Isabella, Iacobucci, Claudio·2025·Angewandte Chemie International Edition
DOI 10.1002/anie.202507348PMC PMC12304803

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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.

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Figures

Figure 1 Relative frequency of pairwise amino acid distances across the human proteome. Each plot corresponds to an amino acid pair (e.g., K‐K for lysine). The x‐axis represents the amino acid spacing, while the y‐axis represents the relative frequency normalized within each structural category. Curves are color‐coded by secondary structure: α‐helix (yellow), β‐strand (red), coil (pink), mixed elements (green), and whole proteome (blue). Charged residues are plotted in the first row followed by polar and hydrophobic residues.
Figure 1 Relative frequency of pairwise amino acid distances across the human proteome. Each plot corresponds to an amino acid pair (e.g., K‐K for lysine). The x‐axis represents the amino acid spacing, while the y‐axis represents the relative frequency normalized within each structural category. Curves are color‐coded by secondary structure: α‐helix (yellow), β‐strand (red), coil (pink), mixed elements (green), and whole proteome (blue). Charged residues are plotted in the first row followed by polar and hydrophobic residues.CC BY · PubMed Central
Figure 2 Relative frequency of K─K cross‐links at increasing amino acid spacing. The x‐axis represents the distance between amino acid pairs. The y‐axis reports both the relative frequency of cross‐links (left), normalized within each structural category to a maximum of 100, and the absolute counts (right). The four classes of structural elements are presented in separate columns and are color coded as follows: α‐helix–yellow lines, β‐strand–red lines, coil–pink lines, mixed elements–green lines, and total–blue lines. Distributions from cross‐linkers with similar spacer length are presented in separate lines. Cumulative data are presented in the bottom row. In addition to the 1% false discovery rate (FDR) associated to each dataset, the shaded areas around the cumulative curves in the bottom panels represent the standard error, estimated by dividing the cumulative dataset into three equal random subsets. Additionally, the bottom panels display the relative frequency of pairwise amino acid distances across the human proteome for comparison. Cross‐link redundancy has been removed within each dataset.
Figure 2 Relative frequency of K─K cross‐links at increasing amino acid spacing. The x‐axis represents the distance between amino acid pairs. The y‐axis reports both the relative frequency of cross‐links (left), normalized within each structural category to a maximum of 100, and the absolute counts (right). The four classes of structural elements are presented in separate columns and are color coded as follows: α‐helix–yellow lines, β‐strand–red lines, coil–pink lines, mixed elements–green lines, and total–blue lines. Distributions from cross‐linkers with similar spacer length are presented in separate lines. Cumulative data are presented in the bottom row. In addition to the 1% false discovery rate (FDR) associated to each dataset, the shaded areas around the cumulative curves in the bottom panels represent the standard error, estimated by dividing the cumulative dataset into three equal random subsets. Additionally, the bottom panels display the relative frequency of pairwise amino acid distances across the human proteome for comparison. Cross‐link redundancy has been removed within each dataset.CC BY · PubMed Central
Figure 3 Influence of neighboring amino acids on lysine cross‐linking propensity within α‐helices (upper panel) and coils (bottom panel). Each heatmap represents the percentage difference in amino acid composition surrounding cross‐linked lysine compared to the background proteome. The y‐axis lists amino acids, while the x‐axis indicates their sequence distance from a cross‐linked lysine. Amino acids are ranked based on their overall effect on lysine cross‐linking, with red indicating cross‐linking inhibition and blue indicating cross‐linking promotion. The right‐side histogram illustrates this cumulative effect across all positions. Dashed lines mark the helical pitch, highlighting periodic cross‐linking patterns in α‐helices.
Figure 3 Influence of neighboring amino acids on lysine cross‐linking propensity within α‐helices (upper panel) and coils (bottom panel). Each heatmap represents the percentage difference in amino acid composition surrounding cross‐linked lysine compared to the background proteome. The y‐axis lists amino acids, while the x‐axis indicates their sequence distance from a cross‐linked lysine. Amino acids are ranked based on their overall effect on lysine cross‐linking, with red indicating cross‐linking inhibition and blue indicating cross‐linking promotion. The right‐side histogram illustrates this cumulative effect across all positions. Dashed lines mark the helical pitch, highlighting periodic cross‐linking patterns in α‐helices.CC BY · PubMed Central
Figure 4 Influence of neighboring amino acids on cross‐linked α‐helix to coil recognition. The heatmap represents the percentage difference in amino acid composition between α‐helices and coils. The y‐axis lists amino acids, while the x‐axis indicates their sequence distance from a cross‐linked lysine. Amino acids are ranked based on their diagnostic capability, with red indicating residues more abundant in coils and blue indicating residues enriched in α‐helices. The right‐side histogram illustrates this cumulative effect across all positions. Dashed lines mark the helical pitch, highlighting periodic cross‐linking patterns in α‐helices.
Figure 4 Influence of neighboring amino acids on cross‐linked α‐helix to coil recognition. The heatmap represents the percentage difference in amino acid composition between α‐helices and coils. The y‐axis lists amino acids, while the x‐axis indicates their sequence distance from a cross‐linked lysine. Amino acids are ranked based on their diagnostic capability, with red indicating residues more abundant in coils and blue indicating residues enriched in α‐helices. The right‐side histogram illustrates this cumulative effect across all positions. Dashed lines mark the helical pitch, highlighting periodic cross‐linking patterns in α‐helices.CC BY · PubMed Central
Figure 5 Distribution of K─K cross‐links at different pLDDT scores. The x‐axis represents the distance between amino acid pairs. The y‐axis reports the relative frequency of cross‐links, normalized within each structural category to a maximum of 100. The four classes of structural elements are presented in separate columns and are color coded as follows: α‐helix–yellow lines, β‐strand–red lines, coil–pink lines, and mixed elements–green lines. Distributions from cross‐linkers with similar spacer length are presented in separate lines. Cumulative data are presented in the bottom row. In addition to the 1% false discovery rate (FDR) associated to each dataset, the shaded areas around the cumulative curves in the bottom panels represent the standard error, estimated by dividing the cumulative dataset into three equal random subsets. pLDDT score ranges are presented as dotted line (0–60), dashed line (60–80), and solid line (80–100). Cross‐link redundancy has been removed within each dataset.
Figure 5 Distribution of K─K cross‐links at different pLDDT scores. The x‐axis represents the distance between amino acid pairs. The y‐axis reports the relative frequency of cross‐links, normalized within each structural category to a maximum of 100. The four classes of structural elements are presented in separate columns and are color coded as follows: α‐helix–yellow lines, β‐strand–red lines, coil–pink lines, and mixed elements–green lines. Distributions from cross‐linkers with similar spacer length are presented in separate lines. Cumulative data are presented in the bottom row. In addition to the 1% false discovery rate (FDR) associated to each dataset, the shaded areas around the cumulative curves in the bottom panels represent the standard error, estimated by dividing the cumulative dataset into three equal random subsets. pLDDT score ranges are presented as dotted line (0–60), dashed line (60–80), and solid line (80–100). Cross‐link redundancy has been removed within each dataset.CC BY · PubMed Central
Figure 6 Distribution of DSSI cross‐links at different FDR. The x‐axis represents the distance between amino acid pairs. The y‐axis reports the relative frequency of cross‐links (left), normalized within each structural category to a maximum of 100. The four classes of structural elements are color coded as follows: α‐helix–yellow lines, β‐strand–red lines, coil–pink lines, and mixed elements–green lines. Different FDR thresholds are represented as dotted (10%), dashed (5%), and solid (1%) lines. The shaded areas around the cumulative curves represent the standard error, estimated by dividing the cumulative dataset into three equal random subsets. Cross‐link redundancy has been removed within each dataset.
Figure 6 Distribution of DSSI cross‐links at different FDR. The x‐axis represents the distance between amino acid pairs. The y‐axis reports the relative frequency of cross‐links (left), normalized within each structural category to a maximum of 100. The four classes of structural elements are color coded as follows: α‐helix–yellow lines, β‐strand–red lines, coil–pink lines, and mixed elements–green lines. Different FDR thresholds are represented as dotted (10%), dashed (5%), and solid (1%) lines. The shaded areas around the cumulative curves represent the standard error, estimated by dividing the cumulative dataset into three equal random subsets. Cross‐link redundancy has been removed within each dataset.CC BY · PubMed Central

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Metadata

Authors
Vetrano, A., Di Ianni, A., Di Fonte, N., Dell'Orletta, G., Reale, S., Daidone, I., & Iacobucci, C.
Affiliations
  • University of L'Aquila (IT)
  • Department of Physical and Chemical Sciences University of L'Aquila Via Vetoio L'Aquila 67100 Italy
Corresponding author
Iacobucci, Claudio
ORCID
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2025-06-02
Volume
64
Issue
31
Pages
e202507348-e202507348
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
DOI
10.1002/anie.202507348
PMC
PMC12304803
OpenAlex
W4410829289
Cited by
1
References
45
Citations by year
2026: 1
FWCI
0.30
Type
journal article
Language
en
Open access
Licence
Locations
  • Angewandte Chemie International Edition (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi dell Aquila (submittedVersion, cc-by)
Funders
  • European Commission (P20224WAME, ECS00000041, PRIN-2022)
  • Ministero dell'Università e della Ricerca (Project 20225HNCZK, Master CUP G53D23002450006, PRIN2022, CUP E53D23007110006)
  • NextGenerationEU
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
protein secondary structure, cross-linking mass spectrometry, AlphaFold, integrative modeling, alpha-helix, beta-strand, allosteric regulation
MeSH terms
Cross-Linking Reagents, Proteins, Software, Mass Spectrometry, Protein Structure, Secondary, Databases, Protein

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CoChat. (2026). Citation check: Protein Secondary Structure Patterns in Short‐Range Cross‐Link Atlas. https://app.cochat.ai/papers/10.1002/anie.202507348
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Vetrano, A., Di Ianni, A., Di Fonte, N., Dell'Orletta, G., Reale, S., Daidone, I., & Iacobucci, C. (2025). Protein Secondary Structure Patterns in Short‐Range Cross‐Link Atlas. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.202507348

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