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

TL;DR

Short-range cross-links in proteins reveal patterns linked to secondary structures, offering new insights into protein function and structure validation.

Contribution

The study introduces X-SPAN, a tool that integrates XL-MS data with AlphaFold structures to analyze and validate short-range cross-link patterns.

Findings

Short-range cross-links show distinct patterns corresponding to α-helices, coils, and β-strands.

X-SPAN provides a framework for benchmarking AlphaFold's local prediction accuracy and XL-MS data quality.

Short-range cross-links enhance statistical inference of secondary structures in integrative modeling.

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.

Short‐range cross‐linking mass spectrometry (XL‐MS) reveals secondary structure‐dependent patterns in proteome‐wide datasets. By integrating XL‐MS data with AlphaFold‐predicted structures, we introduce X‐SPAN, a novel validation metric that assesses data quality and enables pLDDT score benchmarking.

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