“Transferring this technology is a two-way street. Our teams learned how Insilico Medicine’s technology could be adapted but it also helped us learn about the data we generate and its suitability for this technology. This insight will inform how we generate data in future.”
Adrian Longstaff, Weed Control Chemistry Portfolio Lead, Syngenta
“My background is in pharmaceuticals so I was sceptical as I had never worked in plant biology. But the expertise and knowledge transfer on scientific problems was really enjoyable as we worked towards finding answers and generating results.”
Bogdan Zagribelnyy, Senior Researcher in Medicinal Chemistry and CADD, Insilico Medicine
“There is a limit to how many parameters a human brain can manage when designing a molecule. Insilico Medicine’s AI platform has helped us with multi-dimensional design – optimizing multiple parameters – to deliver effective, safe and sustainable molecules.”
Suzanna Dale, Group Leader, Weed Control Chemistry, Syngenta
“Our ambition is to efficiently integrate large DNA fragments into specific genomic locations. Targeted insertion will accelerate R&D, delivering more innovative solutions to farmers, faster.”
Brenden Barco, Senior Scientist, R&D Trait Technologies and Genome Editing Traits, Syngenta
“Identifying novel and efficacious insect control traits is a key challenge for the entire agricultural industry. For this challenge we were trying to find faster, more efficient methods to characterize and differentiate binding sites of our candidate proteins.”
Matthew Bramlett, Head Trait Discovery, Syngenta
“This challenge sought solutions to help us identify poor agronomic performance in the early stages of our development cycle through the introduction of new tools and technologies"
Cai Wen, Senior Scientist, Vector Delivery and Analysis, Syngenta
