Publication details

PDBe: enhanced structural data exploration to facilitate discovery

Authors

AFONSO Marcelo Querino Lima PIDRUCHNA Ivanna NAIR Sreenath MIDLIK Adam LAWAL Dare VOLLMAR Melanie APPASAMY Sri Devan CHOUDHARY Preeti KUNNAKKATTU Ibrahim Roshan BERTONI Damian ESCOBAR Cristian A. BALASUBRAMANIYAN Balakumaran GÁBOROVÁ Romana LEINES Grisell Diaz HARRUS Deborah GUPTA Deepti EVANS Genevieve L. PARAMVAL Urmila MAGANA Paulyna TANWEER Ahsan TODOR Mihai THORPE Christopher J. TSENKOV Maxim GANGULY Sudakshina ELLAWAY Joseph BUENO Weslley Morellato BELLAICHE Adam SEHNAL David SVOBODOVÁ Radka FLEMING Jennifer R. VELANKAR Sameer

Year of publication 2026
Type Peer-reviewed scientific article
Magazine / Source NUCLEIC ACIDS RESEARCH
MU Faculty or unit

Central European Institute of Technology

Citation
web https://academic.oup.com/nar/article/54/D1/D440/8376690
Doi https://doi.org/10.1093/nar/gkaf1120
Keywords PDB; structures; PDBe-KB; 3D visualization; update; redesign
Description Protein Data Bank in Europe (PDBe) is a founding member of the worldwide Protein Data Bank (wwPDB), delivering open access to experimentally determined macromolecular structures. PDBe also delivers enriched annotations contributed by the PDBe-Knowledge Base (PDBe-KB) consortium. The macromolecular entry pages are the primary interface for millions of users who explore experimental structure data. Here, we describe the redesign of the PDBe entry pages that organize content into logical views, thereby improving usability and facilitating the use of structure models, driving fundamental and applied research, and supporting education. The new design introduces several enhancements, including integrated and central 3D visualization, sequence feature exploration, standardized molecular scenes, AI-driven residue-level annotations from text mining of the literature, and streamlined annotation access via refactored APIs. Importantly, researchers can now upload their own residue-level features and visualize them directly in structural context, displayed alongside PDBe-KB annotations. This functionality enables scientists to interpret unpublished or private data in relation to high-quality structural information, lowering barriers for those without prior expertise in structural biology. Together, these updates create a more accessible, flexible, and scalable framework for interacting with structural data, expanding the resource's value to both domain specialists and the wider life sciences community.
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