Projects


DTOX

DATA-WAREHOUSE INFRASTRUCTURE FOR ALGORITHMS, MODELS & ONTOLOGIES TOWARDS NOVEL DESIGN AND SAFETY

DTOX is a DIAMONDS project that integrates knowledge and data relating to the chemical structure, kinetics, metabolism, system biology and toxicity of substances with Omics data obtained from alternative experimental models for biological verification. This enables faster, more informed choices when investigating the safety of chemical substances for product development and/or registration.

The current risk-assessment method for chemical substances requires a great deal of research. This can be done more quickly and effectively by combining areas of expertise and available data. For this purpose, TNO uses the DIAMONDS approach, a ‘new-style’ toxicological risk assessment method that makes it possible to determine the toxic properties of a chemical substance at an early stage, thereby reducing costs and preventing unnecessary testing on animals.


TargetTri

Drug target profiling

TargetTri is an online platform for profiling drug targets in terms of safety and efficacy. TargetTri integrates text-mining, data-mining and network biology to obtain a complete view on effects exerted by target modulation. Queries can be initiated from either a protein/gene or a therapeutic indication.

At TNO, we know drug targets and we can help you assess your target in an early phase of drug development. By combining our diverse capabilities, we offer services that extract, integrate and interpret data regarding your target and translate this into valuable information for decision making. With a track record in target safety assessment for many years, we do offer additional services in the area of efficacy assessment and biomarker identification. In addition, we offer tailor-made solutions and are developing the target intelligence platform TargetTri together with the pharmaceutical industry to be used as an in-house tool for more efficient target assessments.


Psycat

SMART AND RELIABLE ASSESSMENT OF PSYCHOSOCIAL DISORDERS IN CHILDREN

Psycat is a DIAMONDS project that provides a valid instrument designed to detect psychosocial problems in children. It is an intelligent web-based questionnaire that smartly decides which questions to ask based on the given answers so far. Psycat is available for parents of children in the ranges of 2 to 4 and 7 to 11 years.

Psycat is an efficient and reliable alternative for existing instruments for detecting psychosocial disorders in children. When compared to existing questionnaires, e.g. the Strengths and Difficulties Questionnaire (SDQ), Psycat offers the following advantages: It gives reliable and valid information about the nature of the mental problem, Psycat is a fast and adaptive instrument, It provides easy readable graphic results.


ECEL 2.0

AN INTEGRATED RISK MANAGEMENT MEASURE LIBRARY

ECEL 2.0 is a DIAMONDS project offering a searchable library of occupational and environmental Risk Management Measures (RMM) that provides information on the effectiveness of control measures. This information is required to evaluate, amongst others, the operational conditions (OCs) and to make up regulatory dossiers to predict occupational exposure levels and environmental concentrations.

TNO and CEFIC recently developed an integrated Risk Management Measure library (ECEL v2.0) as part of the CEFIC LRI B15.2 project. The library applies a statistical method to derive and visualize effectiveness values for both occupational and environmental RMM.


Diamonds

A GENERIC DATA MANAGEMENT AND INTEGRATION PLATFORM FOR THE LIFE SCIENCES

DIAMONDS is a Generic Data Management and Data Integration Platform for the Life Sciences developed by TNO. DIAMONDS, has a broad scope and is used by many and very diverse Life Science projects. From estimating the Toxicity of Compounds, Safety Assessment of Targets, Allergenicity of Proteins up to Modelling Health parameters and providing Personalized Nutritional and Lifestyle Advice.

DIAMONDS brings together Data, Knowledge and Algorithms. Data ranges from Clinical studies and Omics data to Personalized Health data. Traceable from original Raw measurements to Cleaned, Processed data ready to use. Knowledge ranges from Biological Knowledge from Curated databases and Textmining to manually Curated Triples from our Experts. All captured and connected to Source information through Standardized Pipelines and Workflows Protocols. Diverse tools and algorithms such as Statistical tools, Text mining methods, Scripts, Decision Trees, Bayesian/Dynamic Networks and Network Visualization.


Modules


Literature Review

Efficient and Systematic Literature Reviews

The Literature Review Module is a module in the DIAMONDS platform that allows researchers to perform literature reviews in an efficient and systematic manner. Literature is automatically downloaded from PubMed and kept up-to-date, thereby saving a lot of time.

Literature review administrator and a reviewers work together to perform an efficient and systematic reviewing process. While the administrator sets up a project, defines a set of papers through a PubMed query (or upload) and defines the questions that need to be answers, the reviewers can quickly go through all papers answering the questions defined by the administrator. Reviewers can see all publication information including the abstract and quickly and systematically answer a set of pre-defined questions and answer-options. The administrator can monitor this process and analyze and export the results at any moment.


Scientific Models

A Repository of Scientific Models

The Scientific Model Module is a module in the DIAMONDS platform that allows to capture extensive information about scientific models. This module helps users save time by allowing them to quickly find, better understand and easily re-use diverse types of scientific models developed by colleagues.

The Scientific Model Module is a module in the DIAMONDS platform that allows to capture extensive information about scientific models. This module helps users save time by allowing them to quickly find, better understand and easily re-use diverse types of scientific models developed by colleagues.