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