Training, Outreach, and Education PDB-101 logo

Title card and frame from Caffeine and Adenosine: Agonist and Antagonist

This short video uses the example of adenosine and caffeine to introduce two key concepts in pharmacology: the agonist and the antagonist. Both adenosine and caffeine bind to adenosine receptors located on neurons. Caffeine, the antagonist, blocks the receptor, while adenosine, the agonist, produces the biological response upon binding.

Visit PDB-101 to watch the full video of Caffeine and Adenosine: Antagonist and Agonist.
Like and subscribe to RCSB PDB's YouTube channel to access all videos as they are released.

Visit PDB-101 to download an image that highlights the Computed Structure Models from AI/ML and PDB Experimental Structures that can be explored using RCSB PDB tools.

Researchers have long used the wealth of experimentally-determined structures available from the open-access PDB archive to understand basic principles of protein architecture. More recently, PDB structures have been used as training data for Artificial Intelligence/Machine Learning software tools (e.g., AlphaFold, RosettaFold, OpenFold) that are able to predict three-dimensional structures of proteins and design proteins with novel shapes and biochemical functions.

RCSB.org provides access to these Computed Structure Models from AI/ML (as symbolized on the computer screen in this image) alongside experimental PDB structures (symbolized in flasks).

Experimental structures and CSMs are clearly identified throughout RCSB.org in a similar manner: a dark-blue flask icon is used for PDB structures and a cyan computer icon for CSMs. Simultaneous delivery of PDB data and CSMs provides access to 3D structural information from across the human proteome, model organisms, and selected pathogens.

ACA

Joon Hong Park Photo

Joon Hong Park

At this year's meeting of ACA: The Structural Science Society, the RCSB PDB Poster Prize award went to Joon Hong Park for

EMSuite Server: Advanced Tools for Cryo-EM Structure Modeling, Validation, and Refinement
Joon Hong Park (1), Javad Baghirov (2), Xiao Wang (3), Genki Terashi (1), Han Zhu (1), Yuki Kagaya (1), Pranav D Punuru (1), Shu Li (1), Devashish Prasad (1), Daisuke Kihara (1)

  1. Purdue University, West Lafayette, Indiana'
  2. University of Maryland, College Park
  3. University of Washington, Seattle, Washington

Many thanks to the Poster Chairs Leighanne Gallington, Cora Lind-Kovacs, Tim Stachowski, the judges, and the ACA.

ISMB/ECCB

Jude Wells Photo

Jude Wells

At this year's meeting of Intelligent Systems for Molecular Biology (ISMB)/European Conference on Computational Biology (ECCB), the RCSB PDB Poster Prize award went to Jude Wells for

Design in voxel space, decode in smiles space: Plixer generates drug-like molecules for protein pockets
Jude Wells, Brooks Paige, University College London, United Kingdom

Many thanks to the judges, and the International Society for Computational Biology.

PDB-101 “Global Health” pages present a comprehensive views of disease in molecular detail.

A collection of articles and a timeline focused on Antimicrobial Resistance is now available, alongside features on Diabetes and Cancer.

These features were developed based on an interdisciplinary undergraduate honors course taught by Shuchismita Dutta and Stephen Burley at Rutgers University. Articles on antimicrobial resistance were authored by students (Gauri Patel, Sameer Ahmad, Steven Arnold, and Helen Gao) and reviewed by topical experts