My work focuses on explainable and generalizable methods to predict drug-target interactions
DataSAIL: Data Splitting Against Information Leakage
Authors: Joeres, R., Blumenthal, D. B., and Kalinina, O. V.
Article in bioRxiv
Poster at HIPS Symposium 2023 and HZI & UdS PhD Assembly (both in Saarbruecken)
Poster at GCB 2023 in Hamburg and RDKit UGM 2023 in Mainz
Contributed talk in online ELLIS ML4Molecules Workshop 2023
TeachOpenCADD goes Deep Learning:
Open-source Teaching Platform Exploring Molecular DL Applications
Authors: Backenköhler, M., Kramer, P. L., Groß, J., Großmann, G, Joeres, R., Tagirdzhanov, A., Sydow, D., Ibrahim, H., Odje, F.,
Wolf, V., and Volkamer, A.
Article in chemRxiv
Challenges in Data Processing in Lectin-Glycan Interaction Prediction
Lightning talk at E-Science-Days 2023 in Heidelberg, Germany
GlyLES: Grammar-based Parsing of Glycans from IUPAC-condensed to SMILES
Authors: Joeres, R., Bojar, D., and Kalinina, O. V.
Article in Journal of Cheminformatics (and bioRxiv)
Poster at 17th German Conference on CHeminformatics 2022 in Garmisch-Partenkirchen, Germany
Chair for Drug Bioinformatics
Poster at 1st General PhD Assembly 2022 at HZI in Braunschweig, Germany,
Multiple Sequence Alignment using Deep Reinforcement Learning
Author: Joeres, R.
Article in Proccedings of the Studierendenkonferenz Informatik (SKILL) 2021 online and in Berlin, Germany
Lecture: Bioinformatik 2
Website, Teaching Assistant, joint lecture of Chair for Drug Bioinformatics and Chair for Data Driven Drug Design
(Pro-)Seminar: Comparison and Clustering of Biological Molecules
Website, Teaching Assistant at Chair for Drug Bioinformatics
Seminar: Explainable Artificial Intelligence
Website, Teaching Assistant at Chair for Drug Bioinformatics
Seminar: Deep Learning for Drug Discovery
Website, Teaching Assistant, joint seminar of Chair for Drug Bioinformatics and Chair for Modeling and Simulation
Project-Seminar:
Data Science and Artificial Intelligence
Website, Tutor, joint seminar of many chairs at Saarland University, lead: Big Data Analytics Group
Lecture: Statistics Lab
Website, Tutor at Chair of Computer Science and Computational Linguistics
Lecture: Statistics Lab
Website, Tutor at Chair of Modeling and Simulation
Predicting Protein Binding Residues in an Interpretable Way (co-supervised)
Bioinformatics and Machine Learning Methods for Predicting Protein-RNA Interactions
Antigen Conditioned Antibody Generation and Optimization using Deep Learning Methods
Using Weisfeiler-Lehman kernels to compare protein graphs (co-supervised)
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