[!NOTE] A new web app has been launched making submission much easier: https://rrt.boeckerlab.uni-jena.de/
RepoRT is a repository dedicated to the collection of training data for the development of new retention time prediction models for the identification of small molecules. It is part of the collaborative project between Prof. Dr. Sebastian Böcker (Friedrich-Schiller-Universität Jena) and Dr. Michael Witting (Helmholtz Zentrum München) fundend by the DFG (Project Number 425789784, DFG GEPRIS).
We are collecting information such as retention time (RT) and chemical structures of small molecules in standardized format. From the input data structures are standardized using the PubChem standardization and molecular fingerprints and chemical descriptors are calculated using rcdk. Classification of molecules is performed using ClassyFire. Additionally, to chemical information on the measured small molecules, metadata on the chromatographic separation is collected, e.g. column, column dimensions, flow rate, gradient, eluents and their exact composition. The exact format is explained here.
We are covering all possible separation modes of liquid chromatograpy (LC), such as Reversed-phase (RP), Hydrophilic iinteraction Liquid Chromatography (HILIC) and others. The plot below show the current coverage of different separation modes and columns.
ToDo: add plot here
F. Kretschmer, E.-M. Harrieder, M. A. Hoffmann, S. Böcker, and M. Witting, RepoRT: a comprehensive repository for small molecule retention times Nat Methods 21(2):153-155, 2024.
We are welcoming data submissions. Please submit using the web app at https://rrt.boeckerlab.uni-jena.de/
The following people and resources contributed training data for this repository.
On October 24, 2023 Git LFS was disabled for the majority of the contents of RepoRT for better traceability of changes. If you still have a version of RepoRT from before that date, it might be necessary to "force-pull" the repository. Alternatively, simply clone/download the repository again, if experiencing difficulties. A mapping from old to new commit hashes is available here.