Features
Editors
TISON couples scale-specific information from biomolecular networks, microenvironments, cell decision circuits, in silico cell lines, and organoid geometries. This in combination with a simulation engine and data analytics tool that enables the temporal computation of multi-scale models.
Networks Editor
Networks Editor helps with the construction of biomolecular interaction networks of genes, transcripts, proteins, and metabolites. Users can design and analyze rules-based and weight-based biomolecular networks towards predicting cell fate outcomes which can be visualized as three-dimensional attractor landscapes.
Therapeutics Editor
Therapeutics Editor assists in undertaking a therapeutic evaluation of biomolecular networks constructed earlier using the Networks Editor. Editor allows the development of therapeutic screens towards identification of novel drug targets, drug repurposing, and personalized therapeutics.
Environments Editor
Environments Editor allows the creation of diffusive microenvironments towards modeling the dynamical engagement of environmental cues with cells, tissues, and organoids. Environments Editor enables this integration via a continuum Partial Differential Equation (PDE) model.
Cell Circuits Editor
Cell Circuits Editor enables the construction of cell decision circuits as Finite State Machines for computing the emergent cell fate outcomes in light of biomolecular network regulation, therapy, and microenvironment through a systematic temporal simulation.
Cell Lines Editor
Cell Lines Editor allows to create In silico cell lines by assigning specific cell circuits to individual cell lines. It facilitates the association of cell types with the corresponding networks and environments embedded within the assigned cell circuit.
Organoids Editor
Organoids Editor enables the assembly of three-dimensional organoid geometries using cells from one or more cell lines created by Cell Lines Editor. The Editor enables the construction of organoid models via user-specified values or a set of predefined ready-to-use templates.
Simulations Editor
Simulations Editor allows the simulation of organoid models constructed using Organoids Editor. It provides scale-wise insights into the developmental evolution of organoids and integrates the underlying biomolecular networks, therapies, extracellular environments, and cell decision circuits which are then simulated over space and time.
Analytics Editor
Analytics Editor assists in running queries on the data obtained from spatiotemporal simulation of organoid models generated in Simulations Editor. Users can also visualize outcome of data analysis and observe the underlying biomolecular regulation involved in various processes.
Donors
Publications
Frontiers in Oncology - Special Issue on "Combinatorial Approaches for Cancer Treatment: from Basic to Translational Research"
Navigating Multi-scale Cancer Systems Biology towards Model-driven Personalized Therapeutics
Frontiers in Oncology - Special Issue on "Combinatorial Approaches for Cancer Treatment: from Basic to Translational Research"
A Personalized Therapeutics Approach Using an In silico Drosophila Patient Model Reveals Optimal Chemo- and Targeted Therapy Combinations for Colorectal Cancer
About Us
TISON is being designed and developed by the Biomedical Informatics Research Laboratory (BIRL), LUMS. The project was initiated in 2014 and continues to innovate and push the frontiers of personalized cancer therapeutics.
Current Team
Dr. Safee Ullah Chaudhary
Associate Professor
Group Lead
Umer Sultan
Software Engineer
Development Team Lead
Zainab Nasir
PhD. Student
Project Lead
Mahnoor Naseer
PhD. Student
Frequently Asked Questions
What is TISON?
TISON is a next-generation multi-scale modeling and simulation platform that allows users to construct, simulate and analyze the patient-centric cancer systems biology models.
Who can use TISON?
TISON can be used in cancer care to support clinical decision-making for the treatment of cancer patients. TISON can be used by researchers to construct in silico tumor models to decode the complexity of cancer.
How does it help patients?
It will help cancer patients by assisting oncologists in making data-driven decisions on drug cocktail design and suitability in light of patients’ gene expression data.
Contact Us
Biomedical Informatics Research Laboratory (BIRL), Lahore University of Management Sciences (LUMS)