Technology
Integrating computational analysis and modelling with biophysical tools is imperative in directing the early stages of discovery and development of new pesticides targeting protein-protein interactions. Our technological platform is based on the following assets:
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A unique scoring and ranking function optimized for evaluating protein-protein interaction inhibitors (PPIi).
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A novel, in-house developed screening method capable of screening a large library against thousands of protein conformations simultaneously.
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The ability to extract atomic resolution information and verify our prediction in biophysical experiments.
Discovery Engine
Our discovery platform enables us to rapidly evaluate and elucidate the structural/chemical requirements for binding a specific compound to its target protein. Our technology is especially suitable for the study of “challenging” targets such as protein-protein interaction (PPI) inhibitors and most importantly can be applied in the absence of structural data.
Discovery machine learning-based platform
Complementary approaches & machine learning tools for targeting challenging targets
Predict – ‘Site Seer’ AI Module
Predicting Protein-Protein Interactions ‘Hot-Spots’
Without Projini
With Projini
PPI – Protein-Protein Interactions
Design - ‘Fusion’ AI Module
Virtual hits, biomolecular lead validation and optimization
Searching new chemistries within +40M potential molecules