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

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

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

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.

Several lectures on Cancer Systems Pharmacology for IGP Bioregulation II

Accessory R functions to support DBSolveOptimum

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.

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