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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:

  1. A unique scoring and ranking function optimized for evaluating protein-protein interaction inhibitors (PPIi).

  2. A novel, in-house developed screening method capable of screening a large library against thousands of protein conformations simultaneously.

  3. The ability to extract atomic resolution information and verify our prediction in biophysical experiments.

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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

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Complementary approaches & machine learning tools for targeting challenging targets

PPI in Pharma

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PPIProtein-Protein Interactions

Predict – ‘Site Seer’ AI Module

Predicting Protein-Protein Interactions ‘Hot-Spots’

Without Projini

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With Projini

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PPIProtein-Protein Interactions

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Design -  ‘Fusion’ AI Module

Virtual hits, biomolecular lead validation and optimization

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Searching new chemistries within +40M potential molecules