New method to synthesize complex bioactive molecules quickly and efficiently

Many modern medicines, including analgesics and opioids, are derived from rare molecules found in plants and bacteria. While they are effective against a host of ailments, a number of these molecules have proven to be difficult to produce in large quantities. Some are so labour intensive that it is uneconomical for pharmaceutical companies to produce them in sufficient amounts to bring them to market.

In a new study published in Nature Communications, Vincent Martin outlines a method to synthesize complex bioactive molecules much more quickly and efficiently.

One of the principal ingredients in this new technique developed by the biology professor and Concordia University Research Chair in Microbial Engineering and Synthetic Biology is simple baker's yeast.

The single-cell organism has cellular processes that are similar to those of humans, giving biologists an effective substitute in drug development research. Using cutting-edge synthetic biology approaches, Martin and his colleagues in Berkeley, California were able to produce a large amount of benzylisoquinoline alkaloid (BIA) to synthesize an array of natural and new-to-nature chemical structures in a yeast-based platform.

This, he says, can provide a blueprint for the large-scale production of thousands of products, including the opioid analgesics morphine and codeine. The same is true for opioid antagonists naloxone and naltrexone, used to treat overdose and dependence.

A long journey from gene to market

Martin has been working toward this outcome for most of the past two decades. He began with researching the genetic code plants use to produce the molecules used as drugs by the pharmaceutical industry. Then came transplanting their genes and enzymes into yeast to see if production was possible outside a natural setting. The next step is industrial production.

We showed in previous papers that we can get milligrams of these molecules fairly easily, but you're only going to be able to commercialize the process if you get grams of it. In principle, we now have a technology platform where we can produce them on that scale."

Vincent Martin, Concordia University

This, he says, can have huge implications for a country like Canada, which has to import most of the rare molecules used in drugs from overseas. That's especially relevant now, in the midst of a global pandemic, when fragile supply chains are at risk of being disrupted.

"To me, this really highlights the importance of finding alternative biotech-type processes that can be developed into a homemade, Canadian pharmaceutical industry," he adds. "Many of the ingredients we use today are not very difficult to make. But if we don't have a reliable supply process in Canada, we have a problem."

Healthy savings

Martin admits he is curious to see where the technology leads us. He believes researchers can and will use the new platform for the commercialization and discovery of new drugs.

"We demonstrate that by using this platform, we can start building what is called new-to-nature molecules," he says. "By experimenting with enzymes and genes and the way we grow things, we can begin making these into tools that can be used in the drug discovery process. We can access a whole new structural space."

Source:
Journal reference:

Pyne, M, E. et al. (2020) A yeast platform for high-level synthesis of tetrahydroisoquinoline alkaloids. Nature Communications. doi.org/10.1038/s41467-020-17172-x.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Scientists Discover New Twist in DNA Looping Mechanism