Optimal Gap Penalties and Similarity Matrices for Sequence Alignment. - Sebastian Schneckener; Dietmar Schomburg (German Conference on Bioinformatics, 1996)

Improvement of sequence-structure alignment quality by an empirical energy function. - Sebastian Schneckener; Dietmar Schomburg (German Conference on Bioinformatics, 1997)

A Relational Macromolecular Structure Database. - Fuad Abdallah; Olav Zimmermann; Oliver Leven; Sebastian Schneckener; Jan Kim (German Conference on Bioinformatics, 1998)

Clustering protein sequences-structure prediction by transitive homology. - Eva Bolten; Alexander Schliep; Sebastian Schneckener; Dietmar Schomburg; Rainer Schrader (Bioinform., 2001)

Strongly Connected Components can Predict Protein Structure. - Eva Bolten; Alexander Schliep; Sebastian Schneckener; Dietmar Schomburg; Rainer Schrader (Electron. Notes Discret. Math., 2001)

ProClust: improved clustering of protein sequences with an extended graph-based approach. - P. Pipenbacher; Alexander Schliep; Sebastian Schneckener; Alexander Schönhuth; Dietmar Schomburg; Rainer Schrader (ECCB, 2002)

An elastic network model to identify characteristic stress response genes. - Sebastian Schneckener; Linus Görlitz; Heidrun Ellinger-Ziegelbauer; Hans-Jürgen Ahr; Andreas Schuppert (Comput. Biol. Chem., 2010)

Reliable and Performant Identification of Low-Energy Conformers in the Gas Phase and Water. - Anna Theresa Cavasin; Alexander Hillisch; Felix Uellendahl; Sebastian Schneckener; Andreas H. Göller (J. Chem. Inf. Model., 2018)

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. - Sebastian Schneckener; Sergio Grimbs; Jessica Hey; Stephan Menz; Maren Osmers; Steffen Schaper; Alexander Hillisch; Andreas H. Göller (J. Chem. Inf. Model., 2019)

HybridML: Open source platform for hybrid modeling. - Kilian Merkelbach; Artur M. Schweidtmann; Younes Müller; Patrick Schwoebel; Adel Mhamdi; Alexander Mitsos; Andreas Schuppert; Thomas Mrziglod; Sebastian Schneckener (Comput. Chem. Eng., 2022)

A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat. - Florian Führer; Andrea Gruber; Holger Diedam; Andreas H. Göller; Stephan Menz; Sebastian Schneckener (J. Comput. Aided Mol. Des., 2024)