OpenRiskNet Services
Integrated
Korea Institute of Technology NanoQSAR model
KIT (Korea Institute of Toxicology) Nano-QSAR models were implemented for prediction of cytotoxicity caused by metal and metal oxide nanoparticles. A Binary classification model was built using the Logistic regression ...
Provided by:
Korea Institute of Toxicology (KIT)
Type:
Trained model, Model
Applicability domain:
Computational modelling, Toxicology, Predictive toxicology
Topic:
Predictive modelling, Structure-activity relationship (SAR / QSAR), Risk assessment, Nano safety
For end-users
For developers
Integrated
Virtual Screening Metal Oxide Nanoparticles Enalos Platform
A predictive classification model for the toxicological assessment of iron oxide NPs with different core, coating and surface modification based on a number of different properties including size, relaxivities, zeta ...
Provided by:
NovaMechanics Ltd
Type:
Trained model, Application, Service, Model
Applicability domain:
Computational modelling, Toxicology, Predictive toxicology
Topic:
Predictive modelling, Structure-activity relationship (SAR / QSAR), Risk assessment, Nano safety
For end-users
For developers
Integrated
Enalos Platform nanoinformatics nanoparticles
A validated predictive model for nanoparticles cellular uptake, that is part of the Enalos infrastructure deployed into the OpenRiskNet reference environment. The model can be used for the predictions of ...
Provided by:
NovaMechanics Ltd
Type:
Trained model, Model
Applicability domain:
Computational modelling, Toxicology, Predictive toxicology
Topic:
Predictive modelling, Structure-activity relationship (SAR / QSAR), Risk assessment, Nano safety
For end-users
For developers
Integrated
Generate, store and share predictive statistical and machine learning models
Jaqpot is a user-friendly web-based e-infrastructure containing many data analysis and modelling microservices integrated under harmonised APIs. The Jaqpot infrastructure allows the user to build applications that preprocess data, compute ...
Provided by:
National Technical University of Athens
Type:
Service, Data mining tool, Model, Model generation tool, Trained model, Processing tool, Analysis tool
Applicability domain:
Computational modelling, Predictive toxicology
Topic:
Predictive modelling, Biokinetics
For end-users
For developers
Integrated
Generate, store and share predictive statistical and machine learning models
Jaqpot is a user-friendly web-based e-infrastructure containing many data analysis and modelling microservices integrated under harmonised APIs. Jaqpot GUI is a user interface that allows the end-user to use most ...
Provided by:
National Technical University of Athens
Type:
Visualisation tool, Application, Data mining tool, Model, Model generation tool, Trained model, Processing tool, Analysis tool, Workflow tool
Applicability domain:
Computational modelling, Predictive toxicology
Topic:
Predictive modelling
For end-users
Integrated
Toxicity predictions
Lazar (Lazy Structure-Activity Relationships ) takes a chemical structure as input and provides predictions for a variety of toxic properties. Lazar uses an automated and reproducible read across procedure to ...
Provided by:
in silico toxicology gmbh, Johannes Gutenberg Univertity
Type:
Trained model, Application, Service, Helper tool, Model
Applicability domain:
Toxicology, Predictive toxicology
Topic:
Structure-activity relationship (SAR / QSAR), Risk assessment, Chemical properties
Biological area:
Acute toxicity, Blood brain barrier, Carcinogenicity, NOAEL/LOAEL, Mutagenicity
For end-users
For developers
Integrated
A classification model built by CPSign for predicting molecules
Classification model that models Blood brain barrier penetration using the statistical approach Conformal prediction.
Provided by:
Uppsala Universitet
Type:
Trained model, Model
Applicability domain:
Predictive toxicology
Topic:
Biokinetics
Biological area:
Toxicokinetics, Blood brain barrier
For end-users
Integrated
A Venn-ABERS model built by CPSign for predicting molecules
Classification model that models Blood brain barrier penetration using the statistical approach Venn-ABERS
Provided by:
Uppsala University
Type:
Trained model, Model
Applicability domain:
Predictive toxicology
Topic:
Biokinetics
Biological area:
Blood brain barrier
For end-users
Integrated
Classification model based on Liver toxicology knowledge base (https://www.fda.gov/science-research/liver-toxicity-knowledge-base-ltkb/drug-induced-liver-injury-rank-dilirank-dataset)
Modelling the classes "no DILI" or "most DILI"
Provided by:
Uppsala Universitet
Type:
Trained model
For end-users
Integrated
Classification model based on Liver toxicology knowledge base (https://www.fda.gov/science-research/liver-toxicity-knowledge-base-ltkb/drug-induced-liver-injury-rank-dilirank-dataset)
Modelling the classes "no DILI" or "less / most DILI"
Provided by:
Uppsala Universitet
Type:
Trained model
Topic:
Structure-activity relationship (SAR / QSAR)
For end-users
Integrated
Classification model based on Liver toxicology knowledge base (https://www.fda.gov/science-research/liver-toxicity-knowledge-base-ltkb/drug-induced-liver-injury-rank-dilirank-dataset)
Modelling the classes "no / less DILI" or "most DILI"
Provided by:
Uppsala Universitet
Type:
Trained model
For end-users