Interesting story about Nicholas Tatonetti & his New Computational Tools to Study Drug Effects
Courtesy Genomeweb & Julia Karow Studying for a dual degree in mathematics and molecular biology, Nick Tatonetti became interested in using computational models to study biology and make sense of its massive datasets. As a bioinformatics PhD student at Stanford, he developed new statistical models and computational approaches for analyzing drug effects and drug-drug interactions. At Columbia, Tatonetti is now focusing on molecular mechanisms of drugs. "We can actually think of each time a patient is being given a drug as an experiment," he says. "When the drug goes into the human system, it interacts molecularly, and then phenotypes come out of this system," which can be connected to molecular mechanisms in new ways. In particular, he is developing techniques that use clinical data to develop networks that highlight interactions between different systems in the human body, such as two organs. "And once we know that certain gene produc...