Drug Discovery

Researchers in Whitehead Institute Member Richard Young’s lab and colleagues at MIT show that a machine learning model can predict which subcellular compartments a drug will concentrate in based on its chemical features. This could be used to design safer and more effective drugs, and to understand how subcellular compartments govern diverse biochemical processes.

Whitehead Institute Member Jing-Ke Weng studies plant metabolism, the set of processes plants use to produce thousands of unique molecules, many of which have potent medicinal properties. The Weng lab is hunting for more of these molecules in the wild, and developing strategies to sustainably produce plant molecules already of interest at scale.

Some of the most important tools in researchers’ toolkits are the model organisms they use to study biological questions. How do researchers decide which species, out of the millions that exist, to develop as models? Whitehead Institute researchers have had a hand in establishing and promoting the use of several model organisms over the years.

On February 25, 2021, Whitehead Institute Director Ruth Lehmann discussed the implications of the convergence of biology and engineering with MIT President Emerita Susan Hockfield, in the first installment of our new series, Director's Dialogues. Hockfield, who was the first life scientist to lead MIT, is the author of the 2019 book, “The Age of Living Machines: How Biology Will Build the Next Technology Revolution.