> For the complete documentation index, see [llms.txt](https://ersilia.gitbook.io/ersilia-book/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ersilia.gitbook.io/ersilia-book/chemistry-tools.md).

# Chemistry tools

- [Automated activity prediction models](https://ersilia.gitbook.io/ersilia-book/chemistry-tools/automated-activity-prediction-models.md): We are developing AutoML tools for chemistry data to facilitate adoption of AI/ML
- [Light-weight AutoML with LazyQSAR](https://ersilia.gitbook.io/ersilia-book/chemistry-tools/automated-activity-prediction-models/light-weight-automl-with-lazyqsar.md): Here we describe LazyQSAR, our library for baseline modeling of QSAR tasks
- [ZairaChem](https://ersilia.gitbook.io/ersilia-book/chemistry-tools/automated-activity-prediction-models/zairachem.md)
- [Model distillation with Olinda](https://ersilia.gitbook.io/ersilia-book/chemistry-tools/automated-activity-prediction-models/model-distillation-with-olinda.md): Olinda is a model distillation tool for chemistry data
- [Sampling the chemical space](https://ersilia.gitbook.io/ersilia-book/chemistry-tools/sampling-the-chemical-space.md): We present ChemSampler, a simple tool to sample molecules in a given region of the chemical space
- [Encryption of AI/ML models](https://ersilia.gitbook.io/ersilia-book/chemistry-tools/encryption-of-ai-ml-models.md): This page describes our ChemXor library, a tool to build privacy-preserving machine learning models for drug discovery. We believe that encrypted assets can foster collaboration
- [AMR chemical collections](https://ersilia.gitbook.io/ersilia-book/chemistry-tools/amr-chemical-collections.md): This page outlines our goal to create the reference database of purchasable compound collections with potential interest to the field of AMR