Japanese scientists including researchers at Tokyo University of Agriculture and Technology (TUAT) and Yokohama National University have identified the molecular
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Machine learning technique to predict human cell organization: Artificial intelligence approach could be used in cancer biology, regenerative medicine
Scientists at the Allen Institute have used machine learning to train computers to see parts of the cell the human
Continue reading »Pathways Ebola virus uses to enter cells: Knowledge may be useful in treating other conditions
A new study at Texas Biomedical Research Institute is shedding light on the role of specific proteins that trigger a
Continue reading »Scientists find potential disease-fighting ‘warheads’ hidden in bacteria
Bacteria found in soil may harbor a potential game-changer for drug design. A new study by Scripps Research, published today
Continue reading »New nuclear RNA retention activity discovered
Gene expression involves mRNA transport from its place of synthesis to the cytoplasm where protein translation occurs. However, many non-coding
Continue reading »New tool analyzes disease and drug effects with unprecedented accuracy and consistency: IonStar could upend industry standards, and quicken medical diagnosis and drug development
A new protein analysis tool developed at the University at Buffalo could vastly increase the speed and precision with which
Continue reading »Redefining the origin of the cellular powerhouse
In a new study published by Nature, an international team of researchers led by Uppsala University in Sweden proposes a
Continue reading »Who am I? How cells find their identity
The research group of Alex Schier, Director of the Biozentrum, University of Basel, has investigated more closely how a single
Continue reading »Unique protein is a vulnerability in the malaria parasite
Over a thousand people die from malaria every day. The disease is caused by a single-cell parasite (protozoan) that is
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