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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.


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

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