MegaTrans is a collection of curated and validated machine learning models enabling the generation of predictions against select uptake and efflux transporters important for drug-transporter interactions. It includes the transporters described in the FDA guidance to industry. Examples of some of the models are shown below.

This software can be used to prioritize molecules for pharmaceutical, consumer product, animal health and agrochemical companies. These models are available for licensing and fee for service projects. Subsets of these models can be customized as desired as well as updated with their own data for private use. We can in most cases also make the curated data underlying these public datasets available for your internal use.

Access

  • We can use MegaTrans in fee for service work for you.

  • We can provide an annual license for access to this software .

  • We provide maintenance and customization options.

    Please contact us to hear about how you can use this technology for your drug discovery projects.


RECENT PAPERS ON THE TECHNOLOGIES INVOLVED INCLUDE:

Machine Learning Models Identify New Inhibitors for Human OATP1B1.

Assessment of Substrate Dependent ligand Interactions at the Organic Cation Transporter OCT2 Using Six Model Substrates

Predicting Drug Interactions with Human Equilibrative Nucleoside Transporters 1 and 2 Using Functional Knockout Cell Lines and Bayesian Modeling