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Updated: Jun 6, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
Updated resources for exploring experimentally-determined PDB structures and Computed Structure Models at the RCSB
Stephen K Burley1,2,3,4,5,6, Rusham Bhatt1,2, Charmi Bhikadiya5
1Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) now offers enhanced tools and visualizations for over 227,000 biostructures and 1 million protein models. Explore similar proteins with new features for structural biology research.
Area of Science:
- Structural Biology
- Bioinformatics
- Computational Biology
Background:
- The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is the US data center for the global Protein Data Bank (PDB) archive.
- It provides access to experimentally determined atomic-level 3D biostructures and computed protein models via its RCSB.org web portal.
Purpose of the Study:
- To report substantial additions to the tools and visualization features available at RCSB.org.
- To enhance user experience for exploring biostructure data and computed protein models.
Main Methods:
- Integration of new tools and visualization features into the RCSB.org platform.
- Organization of query results by redundancy-reduced Groups.
- Development of summary pages for exploring groups of similar proteins.
- Introduction of new programmatic tools and enhanced training opportunities.
Main Results:
- RCSB.org now provides access to over 227,000 experimentally determined 3D biostructures.
- Over 1 million Computed Structure Models (CSMs) of proteins are available, including those for humans, model organisms, pathogens, and crop plants.
- New features support 3D structure motif searches and facilitate exploration of protein groups.
Conclusions:
- The enhanced RCSB.org portal offers expanded resources for structural biology research.
- New features improve data accessibility, exploration, and programmatic access to biostructure information.
- These advancements support a wide range of biological research, including studies on human health and climate change adaptation.
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