Druglogics

The COLOSYS project aims to develop a deeper understanding of colon cancer networks and convert them into computer models with which it will be better to predict response to treatment. The combination of computational, experimental and clinical testing will provide understanding of drug resistance mechanisms, and allow personalised treatment of colon cancer.

The project “Rational development of anti-cancer combinations” focuses on precision medicine for cancer by pursuing novel insight into cancer disease mechanisms, combinatorial drug treatment in order to enable selection of the best treatment for the individual patient. The aim is to develop and integrate computational, experimental and analytical approaches to predict and validate anti-cancer drug combinations and produce an integrated pipeline for rational screening of synergistic drugs and for ...

In the project “Crossover Research 2.0 – Well constructed Knowledge Commons” the domain of precision medicine is explored as a key visionary driver for developing the Knowledge Commons and the enabling of Systems Biology approaches to innovate healthcare. In particular, we seek to engage stakeholder concerns in investigating and establishing strategies for DrugLogics to contribute to the Knowledge Commons in an RRI mode.

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The objectives of WP1 within the colosys project are:

1. Produce resources of data and information that will be used for the identification of CC driver genes (WP2) and for the construction and configuration of computational models of cancer-related biological processes (WP2 and WP3)
2. Integrate information from public patient data and cancer cell line data repositories with information from project specific clinical and model data
3. Convert information from public cellular signalling databases ...

A repository of causal cellular signalling statement

A guidelines for the curation of molecular interactions causal statements.

Curation guidelines for molecular interaction causal statements

Extraction of causalities from transcription and translation reactions from the Reactome pathway database.

The causal interactions service provides the extracted data of causality from Reactome database.

Log2 fold changes after drug treatment/serum stimulation of MAPK and AKT pathway nodes

Log2 fold changes after drug treatment/serum stimulation of MAPK and AKT pathway nodes

Log2 fold changes after drug treatment/serum stimulation of MAPK and AKT pathway nodes

The Minimum Information about a Molecular Interaction Causal Statement to guide the curation of causal statements.