Marco Schäfer

According to our database, Marco Schäfer authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

InVADo: Interactive Visual Analysis of Molecular Docking Data.

Marco Schäfer, Nicolas Brich, Jan Byska, Sérgio M. Marques, David Bednár, Philipp Thiel, Barbora Kozlíková, Michael Krone

IEEE Trans. Vis. Comput. Graph., April, 2024

2021

Visual Analysis of Large-Scale Protein-Ligand Interaction Data.

Karsten Schatz, Juan José Franco-Moreno, Marco Schäfer, Alexander S. Rose, Valerio Ferrario, Jürgen Pleiss, Pere-Pau Vázquez, Thomas Ertl, Michael Krone

Comput. Graph. Forum, 2021

Analyzing the similarity of protein domains by clustering Molecular Surface Maps.

Karsten Schatz, Florian Frieß, Marco Schäfer, Patrick C. F. Buchholz, Jürgen Pleiss, Thomas Ertl, Michael Krone

Comput. Graph., 2021

Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures.

Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis.

Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski

CoRR, 2020

Analyzing Protein Similarity by Clustering Molecular Surface Maps.

Karsten Schatz, Florian Frieß, Marco Schäfer, Thomas Ertl, Michael Krone

Proceedings of the 10th Eurographics Workshop on Visual Computing for Biology and Medicine, 2020

2019

A Massively Parallel CUDA Algorithm to Compute and Visualize the Solvent Excluded Surface for Dynamic Molecular Data.

Marco Schäfer, Michael Krone

Proceedings of the 2nd Workshop on Molecular Graphics and Visual Analysis of Molecular Data, 2019