This page acknowledges the open-source software and publicly available scientific data that power parts of Cerevia. We thank the original authors, maintainers, and data providers — their work makes ours possible.
Introduction
This product incorporates open-source software and publicly available scientific data. We acknowledge and thank the original authors and data providers.
Open Source Software
HCIE — Heterocycle Isostere Explorer
This product uses and/or adapts code from the HCIE project developed by the Brennan Group.
MIT License
MIT License Copyright (c) Brennan Group Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Scientific Data Sources
PubChem
This product utilizes publicly available chemical data from PubChem, a database maintained by the National Institutes of Health (NIH).
ChEMBL
This product uses data from the ChEMBL database, provided by the European Bioinformatics Institute (EMBL-EBI). We acknowledge the ChEMBL database and its contributors.
Use of Data
Data from the above sources has been used for the development and training of predictive models, including but not limited to logP, logD, and logS property predictions.
Disclaimer on Third-Party Resources
All third-party software and data are provided under their respective licenses and terms. We do not claim ownership of these resources.
No Endorsement
The use of open-source software and public datasets does not imply endorsement by the original authors or data providers.