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Explore how viruses evade immune responses by developing enzymes that disrupt molecular alarm signals in host cells.

Synchrotron-based protein crystallography continues to accelerate, driven by new and upgraded high-brightness sources, improved optics, faster large-area detectors, robust automation and streamline…

Large and intricate naturally occurring structures composed exclusively of RNA

This calendar celebrates the work of Janet Iwasa, who creates the Molecule of the Month series for RCSB PDB.

Alcohol dehydrogenase detoxifies the ethanol we drink

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 molecules bind to adenosine receptors on the neurons. Caffeine, the antagonist, blocks the receptor, while adenosine, the agonist, produces the biological response upon binding.

Bacteria adhere to our teeth by building sticky sugar chains

download the app: http://bitly.com/biophiliaapp written by björk director: drew berry producer: max whitby, touch press 2011 wellhart ltd / one little indian ltd / nonesuch records / universal music operations ltd the video for hollow was created by drew berry for the biophilia hollow ap

The protein mCherry shown (https://www.rcsb.org/structure/pdb_00002h5q) is a red fluorescent protein (https://pdb101.rcsb.org/motm/174) used as a tag for tracking other proteins in scientific research. mCherry is a prime example of how modern biotechnology leverages the unique properties of proteins

Author summary Here, we provide a roadmap for users to leverage the Protein Data Bank’s vast collection of protein structural models into reliable and valuable insights. It lays out 10 clear rules that help readers quality control their data, choose fair comparison sets, and judge model quality so results aren’t led astray by noise, bias, or overconfidence. The guide also shows how to connect structures to other databases. By highlighting best practices, such as utilizing re-refined models and being aware of common pitfalls, we guide users to leverage this rich data for enhanced biological insights. These guidelines will enable stronger, more reproducible structural analyses that accelerate drug discovery, illuminate disease mechanisms, and make open data broadly useful across the life sciences.