IT tools
QSAR Lab’s research, development, and implementation activity focuses on developing a set of computer tools that enable a comprehensive assessment of the risks posed by new materials (including nanomaterials) to the natural environment and human health and life. Try the tools developed by our company.
QSAR Models for Predicting Nanoparticle Toxicity Alerts and Behavior
This is a unique online application, supported by machine learning (ML) algorithms, that enables the prediction of genotoxicity and mutagenicity alerts for TiO2 and SiO2 nanoparticles. In addition to information on potential toxicity, the application also provides data on the level of uncertainty with which the results should be treated – an innovation in QSAR models.
Regulatory relevant endpoints & tests
Reliable & accurate data aligned with EFSA recommendations
Reducing time-consuming and costly experiments
Simple and intuitive user-friendly interface
Framework for predictive models tailored to your needs
An intuitive platform ready to integrate with any predictive models.
No need to build everything from scratch – we implement only the components you need, ensuring ease of use and fast deployment.
The platform can be fully tailored to your company’s needs.
We design the interface, features, and structure exactly as required – from the look and feel to specific modules and integrations. It can be deployed locally within your organization or hosted by us, with full technical support and ongoing updates.
Provide your data, and we’ll develop high-performance predictive models tailored to solve your problem.
Already have models? We can integrate, optimize, and adapt them into an intuitive, dedicated framework.
The platform also serves as a model repository.
If you’d like to use ready-to-go models provided by our team, you can run one-time predictions using a token-based system. The results are saved to your account – always accessible and ready for further analysis.
NAMs Database - all methods for hazard characterization in one place
NAMs.network is the first database of regulatory-relevant NAMs for assessing the safety of nanomaterials and chemicals. It is a comprehensive, easily accessible repository that collects all of the NAMs under EU and US regulations in one place, allowing you to extract state-of-the-art knowledge on different NAMs.
Recently proposed & promising NAMs
NAMs currently under validation or adaptation
Already accepted & legally approved NAMs
Bioinformatics service supporting the design of molecular diagnostic tests
A unique web-based bioinformatics tool and service, powered by machine learning (ML) and artificial intelligence (AI), to help design and develop new molecular diagnostic tests for emerging or established diseases such as COVID-19. An innovative, experimentally validated algorithm optimizes virtual high-throughput screening (vHTS) and molecular docking of virtual peptide libraries consisting of all possible combinations of amino acid (AA) sequences for a given peptide length (4-12 AA).
Library of over 25 billions peptide structures
Molecular docking using force field
Reduction of cost, time and computational power
