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What's New in ADME Suite Version 2024

Version 2024 of ADME Suite introduces significant improvements to the P-gp Substrate specificity predictions including a new quantitative efflux model, expansion of the training libraries for P-gp Substrates and Protein Binding. Read below for details, and contact us for help upgrading your software.

New P-gp Efflux Ratio Module in the Quantitative PhysChem Model

This release implements a dedicated P-gp Efflux Ratio module, comprised of an advanced mechanistic physicochemical model based on Gradient Boosting statistical approach, which is capable of using censored data and producing quantitative output.

The new P-gp Efflux Ratio submodule allows you to:

  • View predictions as quantitative Efflux Ratio (ER) values, characterizing the ratio of bidirectional transport rates in polarized transport assays
  • View the underlying contributions of passive diffusion and active P-gp mediated efflux rates in the Caco-2 cell line at physiological conditions
  • Edit text boxes which display the predicted values of key physicochemical descriptors used as inputs for the model
  • Manually enter experimental values to increase prediction accuracy or simulate the effects of changing PhysChem properties on the compound’s efflux potential
  • Use a heatmap to explore the necessary changes to the molecule’s PhysChem profile to achieve the desired transport characteristics
  • Compare Efflux Ratios, binary classification, and the type of assay used for measurement with five most chemically similar structures from the training set

What's New ADME Suite - Predicted P-gp Efflux Ratio

Predicted P-gp Efflux Ratio, also showing five most similar structures from the training set.

What's New ADME Suite - Heatmap

Heatmap indicates the position of the current compound (blue dot) in the physicochemical space of the training set.

Improved GALAS Model for P-gp Substrates

You can now expect improved accuracy of the GALAS model, including:

  • Almost two-fold increase in the training library of the GALAS predictor to ~2900 compounds
  • Inclusion of novel congeneric series from recently published lead optimization studies
  • Increased applicability domain coverage for many new classes of drug-like chemicals

Overall Improved ADME Property Prediction

  • You can now have greater confidence in the prediction accuracy of ADME properties relying on logP, logD, and pKa as descriptors due to the significant enhancements of these algorithms (applies to absorption, bioavailability, blood-brain barrier penetration, and pharmacokinetic simulations)

Improved GALAS Model for Protein Binding (PPB)

  • The training library for the distribution module of the GALAS model has been extended to ~3400 compounds
  • You can now expect greater accuracy and reliability of predictions for newly covered compound classes (novel congeneric series, recently approved drugs)

Improved ADMET Profiler Reports

  • You can now present a formatted tabular view of prediction results including raw prediction output, color-coded classification results, and comments outlining the applied rules that led to the obtained classification
    What's New Tox Suite - ADMET Profiler Report

Updated Reporting Templates

  • You can generate compliance reports with confidence as the QPRF report templates have been updated to v2.0 in full accordance with the QAF checklist

Improved Batch Reporting

  • You can now automatically save all individual reports as a .zip file, preventing duplication of file names

Improved Export of Data

With the latest update you can now:

  • Export your data in the less limiting .xlsx file format
  • Export molecular structures as vector images which offers better scaling support
  • Include atom numbers with structure images, enabling you to easily analyze atom-specific properties

Convert Units in Calculations

  • You can now easily configure the software to convert certain units of calculated values to user-specific dimensions by default (for example converting concentration from molar to mass)

ACD/Labs’ development team is eager to collaborate with organizations to improve predictions for novel compounds. Do you have accurately measured experimental values for the predictions we support? Contact us to discuss how we may work together.

Want to learn more?

Read more about the full features of ADME Suite, or contact us for help upgrading your software.

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