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 | 1266 | 2012 |
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 | 1057 | 2013 |
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 | 274 | 2012 |
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 | 158 | 2010 |
Protein function prediction–the power of multiplicity R Rentzsch, CA Orengo Trends in biotechnology 27 (4), 210-219, 2009 | 150 | 2009 |
Docking small peptides remains a great challenge: an assessment using AutoDock Vina R Rentzsch, BY Renard Briefings in Bioinformatics 16 (6), 1045-1056, 2015 | 141 | 2015 |
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 | 112 | 2009 |
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 | 108 | 2012 |
Protein function prediction using domain families R Rentzsch, CA Orengo BMC bioinformatics 14 (Suppl 3), S5, 2013 | 83 | 2013 |
PaPrBaG: A machine learning approach for the detection of novel pathogens from NGS data C Deneke, R Rentzsch, BY Renard Scientific reports 7 (1), 39194, 2017 | 72 | 2017 |
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 | 65 | 2010 |
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 | 64 | 2014 |
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 | 59 | 2020 |
Skills-Matching and Skills Intelligence through curated and data-driven ontologies R Rentzsch, M Staneva Proceedings of the DELFI Workshops, 46-58, 2020 | 21 | 2020 |
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 | 18 | 2020 |
Digitale Bildungsnachweise - Der Stand 2020 in Deutschland und Europa Rentzsch https://www.iit-berlin.de/publikation/digitale-bildungsnachweise-der-stand …, 2021 | 4 | 2021 |
„Skills-Matching “und „Skills Intelligence “durch kuratierte und datengetriebene Ontologien R Rentzsch, M Staneva Gesellschaft für Informatik eVz, 2020 | 4 | 2020 |
Sayoni Das, Corin Yeats, Benoit H. Dessailly, Robert Rentzsch, and 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 42, D240-D245, 2013 | 3 | 2013 |
Digital Credentials in Education - The Situation in Germany and Europe in 2020 Rentzsch https://www.iit-berlin.de/publikation/digital-credentials-in-education-the …, 2021 | 2 | 2021 |
Manipulationssichere und per Knopfdruck verifizierbare Digital Credentials: Die Blockchain als Initiator internationaler Kooperationsprojekte A Bertini, A Pentenrieder, J Rebentisch, S Schaat, R Rentzsch Digitalisierung in studium und lehre gemeinsam gestalten: innovative formate …, 2021 | 2 | 2021 |