Explore models
Explore models hosted in the Jaqpot platform
Categories
LLMs
Large language models for text generation and analysis
Generative
Models designed to generate novel data, such as molecules, images, and sequences, using AI-driven probabilistic and deep learning approaches.
Image-Analysis
This category includes AI-driven models or ImageJ-algorithms designed to analyze, generate, and enhance images using deep learning and probabilistic approaches. These models can perform tasks such as pattern recognition, image segmentation, and data generation, enabling advancements in fields like scientific research, medical imaging, and generative design.
Read-across
Read-across is a computational approach used for property prediction by identifying structurally similar molecules and inferring their characteristics. Unlike traditional machine learning models, read-across relies on similarity searches to find close molecular analogs and make predictions based on known properties of similar compounds. This method is widely used in toxicology, regulatory science, and chemical risk assessment.
PFAS
Predictive models for per- and polyfluoroalkyl substances
Nanomaterials
Predictive models for nanomaterials
Pharmaceuticals
Predictive models for pharmaceuticals
QSAR
Quantitative Structure-Activity Relationship models
QSPR
Quantitative Structure-Property Relationship models
Biokinetics
Models for predicting the internal disposition of chemicals and materials
Multi-scale-Modeling
Models for predicting the internal disposition of chemicals and materials at multiple scales, including pharmacokinetics and biodistribution studies.
