PySB add-on providing domain-specific macros and models for empirical and mechanistic PK/PD modeling.

Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.

Software tool for the compilation of Heta-based QSP modeling platform

Open Source QSP model describing SARS-CoV-2 virus and host cell life cycles, immune response and therapeutic treatments

SynProtX is a deep learning model leveraging large-scale proteomics, molecular graphs, and fingerprints to enhance the prediction of synergistic effects in anti-cancer drug combinations.

Code for transformation of Matlab/Simbiology model to JSON format

Parsing and transformation of units of measurements

A statistical framework for detecting significant drug combination synergies in cancer. By leveraging tissue-specific reference null distributions across multiple synergy metrics, we compute empirical p-values to standardize synergy detection, uncover novel interactions, and enable rigorous evaluation of drug combinations.

DRIFT (Drug-target Response Integrated Flux Trajectory) is a multi-scale stochastic framework designed to bridge the gap between molecular binding events and systemic metabolic phenotypes.

Utilities for working with SLV and DAT files.

Accessory R functions to support DBSolveOptimum

Several lectures on Cancer Systems Pharmacology for IGP Bioregulation II

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