Robert Rentzsch

发表

DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks

Bernhard Y Renard, Jakub M Bartoszewicz, Anja Seidel, 2020, Bioinform..

Docking small peptides remains a great challenge: an assessment using AutoDock Vina

Bernhard Y. Renard, Robert Rentzsch, R. Rentzsch, 2015, Briefings Bioinform..

Gene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis

Ian Sillitoe, Christine A. Orengo, Jonathan G. Lees, 2011, Nucleic Acids Res..

Gene3D: Multi-domain annotations for protein sequence and comparative genome analysis

David A. Lee, Ian Sillitoe, Christine A. Orengo, 2013, Nucleic Acids Res..

Extending CATH: increasing coverage of the protein structure universe and linking structure with function

Ian Sillitoe, Janet M. Thornton, Christine A. Orengo, 2010, Nucleic Acids Res..

Protein function prediction using domain families

Christine A. Orengo, Robert Rentzsch, C. Orengo, 2013, BMC Bioinformatics.

New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures

David A. Lee, Ian Sillitoe, Janet M. Thornton, 2012, Nucleic Acids Res..

Protocols to capture the functional plasticity of protein domain superfamilies

Robert Rentzsch, R. Rentzsch, 2012 .

PaPrBaG: A machine learning approach for the detection of novel pathogens from NGS data

Bernhard Y. Renard, Robert Rentzsch, Carlus Deneke, 2017, Scientific Reports.

DeePaC: Predicting pathogenic potential of novel DNA with reverse-complement neural networks

Bernhard Y. Renard, Robert Rentzsch, Jakub M. Bartoszewicz, 2019, bioRxiv.