Jul 2026· Protein Science· Vol 35· 1 citation· 16 references
Medicine
TL;DR
A new PubChem Portal that enables interactive exploration of compound‐protein interactions and enhances access to biological insights through integrated visualization and analysis is developed.
Abstract
Protein Data Bank Japan (https://pdbj.org/) is the Asian hub of three‐dimensional (3D) macromolecular structure data and a founding member of the global Protein Data Bank (PDB) network. Over two decades, we have curated and distributed experimentally determined structures, complementing international collaborations with Research Collaboratory for Structural Bioinformatics (RCSB) PDB, Biological Magnetic Resonance Data Bank, Protein Data Bank in Europe (PDBe), and Electron Microscopy Data Bank. In response to user demand for integrated structural and chemical data, we developed a new PubChem Portal that enables interactive exploration of compound‐protein interactions. Users can view ligand binding poses in 3D via our Web Graphics Library (WebGL)‐based Molmil viewer, with key interactions highlighted and key residues displayed in semi‐transparent stick models, enhanced through integration with secondary databases (e.g., Dynamics DB, eF‐site) for advanced insights into molecular dynamics and electrostatics. The system supports filtering by UniProt ID, Enzyme Commission (EC) number, Pfam ID, or PROSITE ID to identify structurally related compounds and visualizes protein–ligand interactions. A dynamic two‐dimensional (2D) Japan Agency for Medical Research and Development representation enables real‐time atom‐level navigation, with clickable atoms linking to 3D structures. This tool allows users to explore compound‐protein interaction landscapes, identify potential binding modes, and guide experimental design, such as mutagenesis or crystallization. The portal offers a comprehensive, user‐centered ecosystem that bridges chemical and structural data, enhancing access to biological insights through integrated visualization and analysis.
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...
Yana Rose, Ronald S. Brown, Maria Voigt et al.· Protein Science· 0 citations
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...
COACH-D 2.0 is introduced, a substantially enhanced template-based method for predicting protein-ligand binding sites and features three key advances: integration of multimeric templates from Q-BioLiP into the authors' in-house library, a new multimeric structure processing module enabling binding site prediction for p...
Xiao-Yu An, Hong Wei, Wenkai Wang et al.· Genomics, Proteomics & Bioin...· 0 citations
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
Atlantis, a database that integrates structural and functional information at the human proteome residue level and a Model Context Protocol (MCP) connector allows the interrogation of the resource through Large Language Models (LLMs) or agentic frameworks for biomedical research.
Natalia De Oliveira Rosa, Piergiorgio Ferronato, M. Varisco et al.· bioRxiv· 0 citations
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