'Explainable' AI cracks secret language of sticky proteins
An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those link
An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of human disease. In a departure from typical "black-box" AI models, the new tool, CANYA, was designed to be able to explain its decisions, revealing the specific chemical patterns that drive or prevent harmful protein folding.
The discovery, published today in the journal Science Advances, was possible thanks to the largest-ever dataset on protein aggregation created to date. The study gives new insights about the molecular mechanisms underpinning sticky proteins, which are linked to diseases affecting half a billion people worldwide.
First reported by ScienceDaily: Relationships.
The Cali Reporter newsletter
The stories worth your time.
California, the country, and what comes next. Join our free newsletter for reporting that keeps you informed.
More in Relationships
- Family Relationships May Influence Well-Being of Poor Taiwanese Adolescents
A study of Taiwanese adolescents in poverty suggests that family relationships may play a key role in explaining the link between material deprivation and psychological distress, as well as substance use.
- Aggressive Personality Traits and Jealousy in Romantic Relationships
A new study explores how aggressive personality traits and specific love styles contribute to jealousy in romantic relationships.
- Early Brain Differences in Dyslexia Linked to Visual Processing Before Formal Reading
A longitudinal study published in Developmental Cognitive Neuroscience reveals that children who later develop dyslexia already show distinct neural responses to written words in kindergarten, before formal reading…