Algorithm Predicts Interactions Between Unsolved Protein Structures
Researchers in New York have developed an algorithm that can predict interactions between proteins whose structures are unsolved. The computational tool takes protein interaction prediction to a new level because it works on proteins on which little structural information exists, providing three-dimensional models of the protein-protein complex and identifying the amino acid residues that interact. Said the team’s lead researcher: “The overall goal is to develop personalized medicine, which is based on understanding how a drug affects you versus how it affects me.”
Researchers funded by the National Institute of Mental Health (NIMH) have discovered a high tech way to quell panic in rats. They have detected the brain’s equivalent of an “all clear” signal, that, when simulated, turns off fear. The discovery could lead to non-drug, physiological treatments for runaway fear responses seen in anxiety disorders. Rats normally freeze with fear when they hear a tone they have been conditioned to associate with an electric shock. Dr. Gregory Quirk and Mohammed Milad, Ponce School of Medicine, Puerto Rico, have now demonstrated that stimulating a site in the front part of the brain, the prefrontal cortex, extinguishes this fear response by mimicking the brain’s own “safety signal.”