Structural Biology – News and Features

A new study links FLVCR1 mutations to a spectrum of neurodevelopmental disorders. Researchers found that these gene variants affect essential choline transport, resulting in symptoms like anemia and brain malformations.

Georgia Tech researchers created AF2Complex, a deep-learning tool that predicts antibody interactions with proteins, enhancing immunotherapy development. The model accurately identified effective antibodies against Covid-19.

A study from the Wellcome Sanger Institute and University of Zurich has advanced the AI tool AlphaFold, allowing it to predict large protein structures and incorporate experimental data.

Researchers have discovered a genetic change linked to a rare disorder causing neurological symptoms in a child. This breakthrough helps diagnose similar cases, revealing a new type of genetic disease tied to protein folding machinery.

Researchers have provided compelling evidence that could solve a fundamental mystery in the makeup of fibrils that play a role in Alzheimer’s, Parkinson’s and other neurodegenerative diseases.

Researchers have discovered that a protein complex that helps fight cancer cells also slows the growth of tuberculosis – a finding that could mean better treatments for both diseases.

Researchers discovered that the CRISPR-Cas10 system not only cuts viral DNA but also produces toxic cyclic-oligoadenylates (cOAs) to stop viral spread. This dual mechanism enhances bacterial defense against infections.

Researchers have created a machine-learning technique for accurately measuring individual particle mass using nanoscale devices. This advancement could revolutionize proteomics by enabling the identification of proteins without fragmenting them.

Researchers have described the full molecular structure of the phage DEV, which uses a genome ejection motor to infect Pseudomonas aeruginosa.

Researchers have developed an advanced technique to analyze protein interactions within cells, revealing that cellular stress significantly alters these interactions. The study demonstrates how this understanding could inform drug development.