Jul 2026· Protein Science· Vol 35· 0 citations· 42 references
Medicine
TL;DR
A redesigned RCSB Protein Data Bank RCSB.org Advanced Search capability that supports intuitive discovery of 3D structures through a unified interface that integrates annotation‐, sequence‐, and 3D structure‐based searches, and embeds an interactive 3D viewer.
Abstract
The Protein Data Bank (PDB), established in 1971, is the primary global, open‐access archive for experimentally determined 3D macromolecular structures (proteins, RNA, DNA). The research‐focused RCSB.org web‐portal provides access to these data alongside more than one million machine‐learning‐predicted structure models, greatly expanding the available structural landscape. Rapid growth of both experimental and computational structures has increased the need for powerful yet accessible search tools that serve a broad and diverse scientific community. Herein, we describe a redesigned RCSB Protein Data Bank RCSB.org Advanced Search capability that supports intuitive discovery of 3D structures through a unified interface. This interface integrates annotation‐, sequence‐, and 3D structure‐based searches, embeds an interactive 3D viewer, and incorporates curated biological knowledge, such as catalytic site definitions from Mechanism and Catalytic Site Atlas and ligand‐guided structural motifs, for constructing geometry‐driven queries. A new Chemical Search tool allows definition of chemical queries via an integrated drawing tool or standard identifiers, seamlessly combining them with annotation filters. By allowing query definition directly within spatial and chemical contexts, these search interfaces reduce the need for detailed knowledge of residue numbering, chain identifiers, or external cheminformatics software. This capability enables efficient exploration of structures, chemical diversity, and structure–function relationships across all life domains. The redesigned interfaces can be accessed directly at rcsb.org/search/advanced for Advanced Search and rcsb.org/search/chemical for Chemical Search.
This chapter provides an updated overview of the ProBiS tools, which identify binding sites, predict ligand interactions, and analyze conserved water molecules, and enhances the annotation of AlphaFold2-modeled human proteome structures.
D. Janežič, Janez Konc· Methods in molecular biology· 0 citations
The interface prediction program WHISCY is presented, which combines surface conservation and structural information to predict protein–protein interfaces and demonstrates the potential of using interface predictions to drive protein–protein docking.
S. D. de Vries, A. V. van Dijk, A. M. J. J. Bonvin· 0 citations
Foldseek-Interface is presented, a method that converts 3D interface structures into searchable sequences to enable fast alignment and clustering of protein interaction interfaces and matches the accuracy of state-of-the-art tools while running up to 230 times faster.
J. M. Strom, Sooyoung Cha, R. Kim et al.· bioRxiv· 2 citations
RNA function is dictated by 3D architecture. Although 2D structural models based on canonical Watson-Crick base pairs are widely used, they often fail to capture the non-canonical interactions, tertiary contacts, and coaxial stacking important for biological activity. We have developed RNAbridge, a comprehensive databa...
Damian Zakrzewski, M. Antczak, T. Zok· bioRxiv· 0 citations
High-quality experimental datasets that link protein–ligand structures with binding affinity data are essential for developing and evaluating structure-based machine learning methods. To help address this need, we established OpenBind as an open-science initiative to generate large-scale experimental datasets for struc...
Jochem Nelen, Omeir Khan, Etowah Adams et al.· bioRxiv· 1 citation
Protein–ligand interaction diagrams are a routine part of structural and medicinal chemistry, but the tools that produce them tend to force a choice: comprehensive detection with tabular output, publication-quality figures behind a licence, or a scripting environment that assumes expertise. PandaMap (Protein AND ligAnd...
P. Panda· bioRxiv· 0 citations
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