Sebastian Schneckener

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 5

Top Topics

Multilayer Perceptron

Top Venues

J. Chem. Inf. Model.

J. Comput. Aided Mol. Des.

Comput. Chem. Eng.

Publications

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) (2024)
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 (2023)
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 (2022)
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) (2019)
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) (2018)
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) (2010)
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)
Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader
Clustering protein sequences-structure prediction by transitive homology. Bioinform. 17 (10) (2001)
Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader
Strongly Connected Components can Predict Protein Structure. Electron. Notes Discret. Math. 8 (2001)
Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader
Clustering Protein Sequences ? Structure Prediction by Transitive Homology. German Conference on Bioinformatics (1999)
Fuad Abdallah, Olav Zimmermann, Oliver Leven, Sebastian Schneckener, Jan Kim
A Relational Macromolecular Structure Database. German Conference on Bioinformatics (1998)
Sebastian Schneckener, Dietmar Schomburg
Improvement of sequence-structure alignment quality by an empirical energy function. German Conference on Bioinformatics (1997)
Sebastian Schneckener, Dietmar Schomburg
Optimal Gap Penalties and Similarity Matrices for Sequence Alignment. German Conference on Bioinformatics (1996)