Caroline König
Orcid: 0000-0002-7543-8686
According to our database1,
Caroline König
authored at least 15 papers
between 2013 and 2023.
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Bibliography
2023
Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
2022
A Deep Learning-Based Method for Uncovering GPCR Ligand-Induced Conformational States Using Interpretability Techniques.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics.
Proceedings of the Artificial Intelligence Research and Development, 2022
Molecular Dynamics forecasting of transmembrane Regions in GPRCs by Recurrent Neural Networks.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2020
Sensitivity Analysis of Sensors in a Hydraulic Condition Monitoring System Using CNN Models.
Sensors, 2020
2018
Analysis of class C G-protein coupled receptors using supervised classification methods.
PhD thesis, 2018
2017
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
2015
Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors.
BMC Bioinform., 2015
The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns.
J. Integr. Bioinform., 2014
Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014
Exploratory Visualization of Misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013