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| Replica of the complex molecule, stemoamide, built in mere three steps in Tim Cernak’s Lab. Photo Credit: Austin Thomason, Michigan Photography |
With a big assist from artificial intelligence and a heavy dose of human touch, Tim Cernak’s lab at the University of Michigan made a discovery that dramatically speeds up the time-consuming chemical process of building molecules that will be tomorrow’s medicines, agrichemicals or materials.
The discovery, published in the journal of Science, is the culmination of years of chemical synthesis and data science research by the Cernak Lab in the College of Pharmacy and Department of Chemistry.
The goal of the research was to identify key reactions in the synthesis of a molecule, ultimately reducing the process to as few steps as possible. In the end, Cernak and his team achieved the synthesis of a complex alkaloid found in nature in just three steps. Previous syntheses took between seven and 26 steps.
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| Tim Cernak and team duplicated a complex molecule in only three steps. Illustration Credit: The Cernak Lab |
“Making a chemical structure that has atoms in just the right place to give you efficacious and nontoxic medicines, for instance, is tricky,” said Cernak, assistant professor of medicinal chemistry and chemistry. “It requires a chemical synthesis strategy grounded in the chemical building blocks you can actually buy and then stitch together using chemical reactions.”
The accomplishment has powerful implications for speeding up the development of medicines.
Cernak compared the construction of these complex molecules to playing chess. You need to orchestrate a series of moves to get to the end of the game. While there’s a near infinite number of possible moves, there’s a logic that can be followed.
“We developed a logic here, based in graph theory, to get to the end as quickly as possible,” he said.
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| Di Wang (from left), Rui Zhang, Tim Cernak, and Yingfu Lin in the Cernak Lab at the Chemistry Building. Photo Credit: Austin Thomason, Michigan Photography |
Cernak and colleagues used SYNTHIA Retrosynthesis Software, which provides scientists with a database of pathways, or steps, and formulas for millions of molecular structures. This gave the team an enormous amount of computational synthesis data to play with.
Using an algorithm, they developed to curate the data, the researchers identified the steps along the pathway that were high impact, or key steps, and the steps that were making progress toward completing the synthesis but ultimately inefficient for the whole process.
“We hope this research can lead to better medicines,” Cernak said. “So far, we have been limited in the molecular structures we can quickly access with chemical synthesis.”
Co-authors include Yingfu Lin, senior research fellow in pharmacy; Rui (Sam) Zhang, doctoral student in chemistry; and Di Wang, doctoral student in pharmacy.
Published in journal: Science
Source/Credit: University of Michigan
Reference Number: chm020823_02