Mechanism of Action Prediction

The Mechanism of Action (MOA) prediction function leverages our Contingent-AI™ and Elion™ framework to predict molecular mechanism underlying phenotypic screens and follow-on assays.

How MOA Prediction Works:

 

Input:

With BioSymetrics Mechanism of Action (MOA) prediction platform, small molecule phenotypic screens are processed through the below workflows:

  • Clustering public datasets

  • Denoising datasets

  • Cluster enrichment

  • Ranked compound listing

  • Bias detection engine

Output:

In usually less than three weeks, the MOA prediction platform will generate a detailed reporting dashboard including target/pathway predictions and accelerated hit prioritization.

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MOA Prediction Use Cases

 

Apart from innovating the novel drug discovery process using Contingent-AI™ machine learning techniques, the MOA prediction platform is also used in drug repurposing/ drug repositioning as it can facilitate the discovery of new mechanisms of action for old drugs as well as new classes of medicines.

Novel Drug Discovery

  • Identification of MOA

  • Virtual drug screening

  • Hit Expansion

  • Pathway elucidation

  • Toxicity prediction

  • In Silico library screening

  • Library prioritization

Drug Repurposing

  • Polypharmacology

  • Multilabel classification

  • Side effect prediction

  • Off-target prediction

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MOA Prediction White-paper

Applying Contingent AI to predict targets and Mechanism of Action using HCI screening within the RxRx-19 COVID data set

Get the White-Paper

Predicting MOA with AI

 

Time and Price is dependent on complexity of data and compute requirements. Contact us to learn more and receive an accurate quote.