AutoNetCan

Background

Welcome to AutoNetCan

An Automated Web Server to Construct Biomolecular Networks for Translational Cancer Systems Biology

Integrations

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AutoNetCan Pipeline

1Acquisition of Nodes

A robust cancer model starts with acquiring nodes from diverse, high-value sources. We integrate Genomic Data Commons (GDC) datasets, frequently mutated nodes, cancer signature genes, and therapeutic targets to ensure biological relevance and translational potential. By aggregating data from these authoritative sources, we build a comprehensive, data-driven foundation for precision oncology.

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2Node Enrichment

We enhance node relevance by leveraging Enrichr, MSigDB, and curated pathway databases to analyze molecular functions, cellular components, and biological processes. This enrichment refines our network, uncovering key interactions and pathways essential for understanding cancer biology and therapeutic targeting.

3Connecting Maps & Interactome

We integrate the enriched node set into a comprehensive interactome using in-built databases such as INDRA, TRRUST, SIGNOR, and Omnipath. These resources provide activation and inhibition relationships, enabling the construction of a biologically informed network that maps key molecular interactions, regulatory mechanisms, and signaling pathways essential for cancer research.

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4Logical Modeling

Using RNA sequencing data and interactome maps, we annotate network nodes to construct optimal Boolean network models. These models enable simulation and analysis, supporting downstream applications in cancer research and therapeutic discovery.

5 In-Silico Cancer Models

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Publications

Atlantis - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming

Scientific Reports - Nature

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Navigating Multi-scale Cancer Systems Biology towards Model-driven Personalized Therapeutics

Frontiers in Oncology - Special Issue on "Combinatorial Approaches for Cancer Treatment"

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A Personalized Therapeutics Approach Using an In silico Drosophila Patient Model Reveals Optimal Chemo- and Targeted Therapy Combinations for Colorectal Cancer

Frontiers in Oncology - Special Issue on "Combinatorial Approaches for Cancer Treatment"

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CanSeer: A Method for Development and Clinical Translation of Personalized Cancer Therapeutics

bioRxiv - the preprint server for Biology

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Meet the Team

Our talented and passionate team members who make everything possible.

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Safee Ullah Chaudhary

Group Lead

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Muhammad Shoaib

Group Lead

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Umer Sultan

Software Team Lead

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Zainab Nasir

Case Study Team Lead

Help & Resources

Tutorial 1

A walkthrough of breast cancer network construction.

Tutorial 2

A walkthrough of the prostate cancer network construction.

Tutorial 3

Network construction in AutoNetCan and visualization in Cytoscape.

Tutorial 4

Network construction in AutoNetCan with visualization and analysis in TISON.

Tutorial 5

Network visualization in Cosmograph.

Contact Us

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