COVID-19 antibody research coming out of the University of Texas stars an unlikely participant: A llama named Winter. University of Texas at Austin/Facebook

In the race to find a treatment for the novel coronavirus, researchers at the University of Texas at Austin have announced a potential breakthrough — thanks to a llama.

Scientists from Texas' flagship university who have been collaborating with the National Institutes of Health and Ghent University in Belgium identified an antibody treatment that could potentially neutralize the virus that causes COVID-19.

The researchers detail their work in the May 5 edition of Cell, a scientific journal.

"This is one of the first antibodies known to neutralize SARS-CoV-2," said Jason McLellan, associate professor of molecular biosciences at UT Austin and co-senior author of the paper, in a release. (FYI, SARS-CoV-2 is referring to the virus that causes COVID-19.)

Using a Belgian llama named Winter, scientists were able to identify two antibodies the animal produces when it comes into contact with a foreign body (such as the coronavirus). The first is similar to a human antibody and the second is much smaller, about one-quarter of the size of the other.

This is Winter. Photo courtesy of University of Texas at Austin

Researchers were able to link two copies of this special llama antibody to create a new antibody. This new antibody binds tightly to a key protein on the coronavirus germ that causes COVID-19 and could possible be nebulized and put into an inhaler.

"That makes them potentially really interesting as a drug for a respiratory pathogen because you're delivering it right to the site of infection," said Daniel Wrapp, a UT graduate student in McLellan's lab and co-first author of the paper.

Unlike vaccines, which can take up to two months to take effect, antibody treatment can be used in more vulnerable populations as a way to fight off the virus.

"Vaccines have to be given a month or two before infection to provide protection," McLellan said. "With antibody therapies, you're directly giving somebody the protective antibodies and so, immediately after treatment, they should be protected. The antibodies could also be used to treat somebody who is already sick to lessen the severity of the disease."

From here, research turns to preclinical studies, using hamsters and primates for testing. If successful, they will move onto humans.

If you're wondering just how a group of researchers living in different parts of the globe were able to make this discovery seemingly overnight, that's because they've actually been working on it since 2016, when Winter was just 9 months old.

The experiment began as a way to develop vaccinations for two earlier versions of the coronavirus: SARS-CoV-1 and MERS-CoV. Their years of research allowed the scientists to pivot in recent months to isolating the protein in COVID-19.

As for Winter, she's now 4 years old and still lives with about 130 llamas on a farm in Belgium, likely unaware of her contribution to potentially altering the course of COVID-19 forever.

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This article originally ran on CultureMap.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”