Happy New Year! While everyone was busy getting ready for the holidays, the journal Science announced its annual compendium of scientific Breakthroughs of the Year. If you missed it, the winner for 2016 was the detection of gravitational waves—tiny ripples in the fabric of spacetime created by the collision of two black holes 1.3 billion years ago! It’s an incredible discovery, and one that Albert Einstein predicted a century ago.
Among the nine other advances that made the first cut for Breakthrough of the Year, several involved the biomedical sciences. As I’ve done in previous years (here and here), I’ll kick off this New Year by taking a quick look of some of the breakthroughs that directly involved NIH support:
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When Dmitry Lyumkis headed off to graduate school at The Scripps Research Institute, La Jolla, CA, he had thoughts of becoming a synthetic chemist. But he soon found his calling in a nearby lab that imaged proteins using a technique known as single-particle cryo-electron microscopy (EM). Lyumkis was amazed that the team could take a purified protein, flash-freeze it in liquid nitrogen, and then fire electrons at the protein, capturing the resulting image with a special camera. Also amazing was the sophisticated computer software that analyzed the raw 2D camera images, merging the data and reconstructing it into 3D representations of the protein.
The work was profoundly complex, but Lyumkis thrives on solving extremely difficult puzzles. He joined the Scripps lab to become a structural biologist and a few years later used single-particle cryo-EM to help determine the atomic structure of a key protein on the surface of the human immunodeficiency virus (HIV), the cause of AIDS. The protein had been considered one of the greatest challenges in structural biology and a critical target in developing an AIDS vaccine .
Now, Lyumkis has plans to take single-particle cryo-EM to a whole new level—literally. He wants to develop new methods that allow it to model the atomic structures of much smaller proteins. Right now, single-particle cryo-EM has worked with proteins as small as roughly 150 kilodaltons, a measure of a protein’s molecular weight (the approximate average mass of a protein is 53 kDa). Lyumkis plans to drop that number well below 100 kDa, noting that if his new methods work as he hopes, there should be very little, if any, lower size limit to get the technique to work. He envisions generating within a matter of days or weeks the precise structure of an average-sized protein involved in a disease, and then potentially handing it off as an atomic model for drug developers to target for more effective treatment.
Tags: 2015 NIH Director’s Early Independence Award, 3D computational analysis, atomic structure, computation, cryo-electron microscopy, cryo-EM, drug design, drug discovery, drugs, electron microscopy, HIV, human immunodeficiency virus, IKK complex, protein structure, proteins, single-particle cryo-EM, small proteins, structural biology
In many ways, Josh Carter is a typical college student, with a hectic schedule packed with classes and social activities. But when he enters a structural biology lab at Montana State University in Bozeman, Carter encounters an even faster paced world in which molecular interactions can be measured in femtoseconds—that is, 1 millionth of 1 billionth of 1 second.
Working under the expert eye of principal investigator Blake Wiedenheft, Carter is applying his computational skills to X-ray crystallography data to model the structures of various proteins, as well as to chart their evolution over time and map their highly dynamic interactions with other proteins and molecules. This basic science work is part of this NIH-funded lab’s larger mission to understand how bacteria defend themselves from the viruses that try to infect them. It’s a fascinating area of science with a wide range of potential applications, from treating diseases that arise from imbalances in the microbiome (the communities of microbes that live in and on our bodies) to developing new methods for gene editing and programmable control of gene expression.