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ORCIDSebastian Schneckener
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2020 – today
- 2024
[j7]Florian Führer, Andrea Gruber, Holger Diedam, Andreas H. Göller, Stephan Menz, Sebastian Schneckener:
A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat. J. Comput. Aided Mol. Des. 38(1): 7 (2024)- 2023
- [i1]Florian Führer, Andrea Gruber, Holger Diedam, Andreas H. Göller, Stephan Menz, Sebastian Schneckener:
A Deep Neural Network - Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat. CoRR abs/2310.09167 (2023) - 2022
- [j6]Kilian Merkelbach
, Artur M. Schweidtmann, Younes Müller, Patrick Schwoebel, Adel Mhamdi, Alexander Mitsos, Andreas Schuppert, Thomas Mrziglod, Sebastian Schneckener:
HybridML: Open source platform for hybrid modeling. Comput. Chem. Eng. 160: 107736 (2022)
2010 – 2019
- 2019
- [j5]Sebastian Schneckener, Sergio Grimbs, Jessica Hey, Stephan Menz, Maren Osmers, Steffen Schaper, Alexander Hillisch, Andreas H. Göller:
Prediction of Oral Bioavailability in Rats: Transferring Insights from in Vitro Correlations to (Deep) Machine Learning Models Using in Silico Model Outputs and Chemical Structure Parameters. J. Chem. Inf. Model. 59(11): 4893-4905 (2019) - 2018
- [j4]Anna Theresa Cavasin, Alexander Hillisch, Felix Uellendahl, Sebastian Schneckener, Andreas H. Göller:
Reliable and Performant Identification of Low-Energy Conformers in the Gas Phase and Water. J. Chem. Inf. Model. 58(5): 1005-1020 (2018) - 2010
- [j3]Sebastian Schneckener, Linus Görlitz, Heidrun Ellinger-Ziegelbauer, Hans-Jürgen Ahr, Andreas Schuppert:
An elastic network model to identify characteristic stress response genes. Comput. Biol. Chem. 34(3): 193-202 (2010)
2000 – 2009
- 2002
- [c5]P. Pipenbacher, Alexander Schliep, Sebastian Schneckener, Alexander Schönhuth, Dietmar Schomburg, Rainer Schrader:
ProClust: improved clustering of protein sequences with an extended graph-based approach. ECCB 2002: 182-191 - 2001
- [j2]Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader:
Clustering protein sequences-structure prediction by transitive homology. Bioinform. 17(10): 935-941 (2001) - [j1]Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader:
Strongly Connected Components can Predict Protein Structure. Electron. Notes Discret. Math. 8: 10-13 (2001)
1990 – 1999
- 1999
- [c4]Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader:
Clustering Protein Sequences ? Structure Prediction by Transitive Homology. German Conference on Bioinformatics 1999: 181 - 1998
- [c3]Fuad Abdallah, Olav Zimmermann, Oliver Leven, Sebastian Schneckener, Jan Kim:
A Relational Macromolecular Structure Database. German Conference on Bioinformatics 1998 - 1997
- [c2]Sebastian Schneckener, Dietmar Schomburg:
Improvement of sequence-structure alignment quality by an empirical energy function. German Conference on Bioinformatics 1997: 179 - 1996
- [c1]Sebastian Schneckener, Dietmar Schomburg:
Optimal Gap Penalties and Similarity Matrices for Sequence Alignment. German Conference on Bioinformatics 1996: 292-293
Coauthor Index
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