Our discovery platform, ENKOMPASS™, uses DNA-Encoded libraries, AI and Machine Learning and Structure-Based Design to find and select the right treatments for the right targets, faster and more effectively.
DNA-Encoded Libraries (DEL)
DNA-encoded libraries (DEL) are changing the way the pharmaceutical industry discovers new compounds. Enko is among the firs to apply this technology to the agriculture industry. By using DEL, Enko is able to tap vast new molecular space and to screen billions of compounds against each of our targets very quickly and cost effectively.
Enko is building large novel datasets. We leverage physics-based models, advanced data analytics, Artificial Intelligence, and Machine Learning to discover novel molecules that meet our product safety and sustainability goals.
Together, machine learning combines with the DNA-encoded libraries (DEL) to supercharge Enko’s discovery process. Each DEL experiment results in massive datasets with billions of binding observations across enzymes within our target pests. These high-quality training data points feed into our machine learning models, enabling us to find the right molecules with more favorable properties more quickly and effectively.
Our deep understanding of plant, insect, and fungal biochemistry enables us to select targets and molecules that are most likely to meet our product goals while minimizing off-target effects. By knowing the target from the start, we can quickly achieve potency and selectivity through structure-based design.
DNA-encoded libraries (DEL) are changing the way the drug industry discovers new compounds. Enko is among the firs to apply this technology to the agriculture industry. By using DEL, Enko is able to tap vast new molecular space and to screen billions of compounds against each of our targets very quickly and cost effectively.
Enko is building large, unique datasets. We leverage physics-based models, advanced data analytics, Artificial Intelligence, and Machine Learning to discover novel molecules that meet our product safety and sustainability goals.
Machine learning combines with the DNA-encoded libraries (DEL) to supercharge Enko’s discovery process. Each DEL experiment results in massive datasets with billions of binding observations across enzymes within our target pests. These high-quality training data points feed into our machine learning models to enable our researchers to find the right molecules with more favorable properties more quickly and effectively.
Our deep understanding of plant, insect, and fungal biochemistry enables us to select targets and molecules that are most likely to meet our product goals while minimizing off-target effects. By knowing the target from the start, we can quickly achieve potency and selectivity through structure-based design.
DELs are changing the way the drug industry discovers new compounds. Enko is among the first to apply this technology to the agriculture industry. Enko is able to tap vast new molecular space and to screen billions of compounds against each of our targets very quickly and cost effectively using DEL technology.
Our AI platform accelerates research by rapidly putting results into the hands of researchers and allowing them to seamlessly incorporate the data from all previous research. The result is that we can achieve potency and selectivity with far fewer resources creating opportunities to pursue projects not practical for other organizations.
ML combines with the DNA-encoded libraries (DELs) and our Artificial Intelligence platform to supercharge Enko’s discovery process. Each DEL experiment results in massive datasets with billions of binding observations. These high-quality data are used to train machine learning models that enable our researchers to find active molecules with favorable properties more quickly and effectively.
Our deep understanding of plant, insect, and fungal biochemistry enables us to select targets and molecules that are most likely to meet our product goals focused on efficacy and safety. This target knowledge allows us to use Structure-Based Design to identify the parts of a molecule which can be altered to ultimately deliver safe, effective, and sustainable solutions to growers.
Tapping vast new molecular space through efficient screening of billions of molecules.
DNA-encoded libraries (DEL) are changing the way the pharmaceutical industry discovers new compounds. Enko is among the firs to apply this technology to the agriculture industry. By using DEL, Enko is able to tap vast new molecular space and to screen billions of compounds against each of our targets very quickly and cost effectively.
Leveraging automation and proprietary predictive analytics to streamline decision-making.
Enko is building large novel datasets. We leverage physics-based models, advanced data analytics, Artificial Intelligence, and Machine Learning to discover novel molecules that meet our product safety and sustainability goals.
Unlocking virtual screening to increase speed, drive down costs, and improve outcomes.
Together, machine learning combines with the DNA-encoded libraries (DEL) to supercharge Enko’s discovery process. Each DEL experiment results in massive datasets with billions of binding observations across enzymes within our target pests. These high-quality training data points feed into our machine learning models, enabling us to find the right molecules with more favorable properties more quickly and effectively.
Targeted design for better outcomes by incorporating safety, selectivity, and potency from the start.
Our deep understanding of plant, insect, and fungal biochemistry enables us to select targets and molecules that are most likely to meet our product goals while minimizing off-target effects. By knowing the target from the start, we can quickly achieve potency and selectivity through structure-based design.
