We are beyond excited to announce that the MADByTE manuscript is now out and available in the Journal of Natural Products!
In this manuscript, we describe the logic of MADByTE analysis, the noise filtration and experimental considerations, applications to dereplication through structural similarity profiling, and targeted isolation using bioactivity layering. We also go into some limitations and considerations when using MADByTE, and make recommendations on how to get the platform to work best for your needs.
We had a fantastic team of volunteers who helped us to streamline the installation procedure, evaluate the tool usability, and make some suggestions on how we could improve the UI. Thanks to the fantastic community who stepped forward and offered some of their time to improve the project. The entire code base is open source and freely available.