Robert Rentzsch
Robert Rentzsch
Institut für Innovation und Technik (iit)
Verified email at iit-berlin.de - Homepage
Title
Cited by
Cited by
Year
InterPro in 2011: new developments in the family and domain prediction database
S Hunter, P Jones, A Mitchell, R Apweiler, TK Attwood, A Bateman, ...
Nucleic acids research 40 (D1), D306-D312, 2012
11402012
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
7792013
New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures
I Sillitoe, AL Cuff, BH Dessailly, NL Dawson, N Furnham, D Lee, JG Lees, ...
Nucleic acids research 41 (D1), D490-D498, 2012
2552012
Extending CATH: increasing coverage of the protein structure universe and linking structure with function
AL Cuff, I Sillitoe, T Lewis, AB Clegg, R Rentzsch, N Furnham, ...
Nucleic acids research 39 (suppl_1), D420-D426, 2010
1532010
Protein function prediction–the power of multiplicity
R Rentzsch, CA Orengo
Trends in biotechnology 27 (4), 210-219, 2009
1382009
Domain-based and family-specific sequence identity thresholds increase the levels of reliable protein function transfer
S Addou, R Rentzsch, D Lee, CA Orengo
Journal of molecular biology 387 (2), 416-430, 2009
872009
Docking small peptides remains a great challenge: an assessment using AutoDock Vina
R Rentzsch, BY Renard
Briefings in Bioinformatics 16 (6), 1045-1056, 2015
792015
Gene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis
J Lees, C Yeats, J Perkins, I Sillitoe, R Rentzsch, BH Dessailly, C Orengo
Nucleic acids research 40 (D1), D465-D471, 2012
792012
Protein function prediction using domain families
R Rentzsch, CA Orengo
BMC bioinformatics 14 (3), 1-14, 2013
652013
GeMMA: functional subfamily classification within superfamilies of predicted protein structural domains
DA Lee, R Rentzsch, C Orengo
Nucleic acids research 38 (3), 720-737, 2010
552010
Gene3D: Multi-domain annotations for protein sequence and comparative genome analysis
JG Lees, D Lee, RA Studer, NL Dawson, I Sillitoe, S Das, C Yeats, ...
Nucleic acids research 42 (D1), D240-D245, 2014
482014
PaPrBaG: A machine learning approach for the detection of novel pathogens from NGS data
C Deneke, R Rentzsch, BY Renard
Scientific reports 7 (1), 1-13, 2017
272017
DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks
JM Bartoszewicz, A Seidel, R Rentzsch, BY Renard
Bioinformatics 36 (1), 81-89, 2020
162020
Predicting bacterial virulence factors–evaluation of machine learning and negative data strategies
R Rentzsch, C Deneke, A Nitsche, BY Renard
Briefings in Bioinformatics 21 (5), 1596-1608, 2020
42020
Sayoni Das, Corin Yeats, Benoit H Dessailly, Robert Rentzsch, & Christine A Orengo. Gene3d: Multi-domain annotations for protein sequence and comparative genome analysis
JG Lees, D Lee, RA Studer, NL Dawson, I Sillitoe
Nucleic acids research, 2013
22013
Bad blood
R Rentzsch
News@ Nature (20.02. 06), 2006
12006
„Skills-Matching “und „Skills Intelligence “durch kuratierte und datengetriebene Ontologien
R Rentzsch, M Staneva
Proceedings of DELFI Workshops 2020, 2020
2020
Standardisierung in der wissenschaftlichen Weiterbildung als ein Kernprozess der Professionalisierung
R Rentzsch, A Shajek, E Vogel-Adham, EA Hartmann
Zeitschrift Hochschule und Weiterbildung, 19-26, 2020
2020
PaPrBaG: A random forest approach for the detection of novel pathogens from NGS data
C Deneke, R Rentzsch, BY Renard
PeerJ Preprints 4, e2379v1, 2016
2016
Gene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis (vol 40, pg D465, 2011)
J Lees, C Yeats, J Perkins, I Sillitoe, R Rentzsch, BH Dessailly, C Orengo
NUCLEIC ACIDS RESEARCH 40 (10), 4725-4725, 2012
2012
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