J
Jannick Dyrløv Bendtsen
Researcher at Technical University of Denmark
Publications - 11
Citations - 10092
Jannick Dyrløv Bendtsen is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Signal peptide & Genome. The author has an hindex of 9, co-authored 11 publications receiving 9719 citations. Previous affiliations of Jannick Dyrløv Bendtsen include CLC bio.
Papers
More filters
Journal ArticleDOI
Improved Prediction of Signal Peptides: SignalP 3.0
TL;DR: Improvements of the currently most popular method for prediction of classically secreted proteins, SignalP, which consists of two different predictors based on neural network and hidden Markov model algorithms, where both components have been updated.
Journal ArticleDOI
Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88
Herman Jan Pel,Johannes H. de Winde,Johannes H. de Winde,David B. Archer,Paul S. Dyer,Gerald Hofmann,Peter J. Schaap,Geoffrey Turner,Ronald P. de Vries,Richard Albang,Kaj Albermann,Mikael Rørdam Andersen,Jannick Dyrløv Bendtsen,Jacques A.E. Benen,Marco A. van den Berg,Stefaan Breestraat,Mark X. Caddick,Roland Contreras,Michael Cornell,Pedro M. Coutinho,Etienne Danchin,Alfons J. M. Debets,Peter J. T. Dekker,Piet W.M. van Dijck,Alard Van Dijk,Lubbert Dijkhuizen,Arnold J. M. Driessen,Christophe d'Enfert,Steven Geysens,Coenie Goosen,Gert S.P. Groot,Piet W. J. de Groot,Thomas Guillemette,Bernard Henrissat,Marga Herweijer,Johannes Petrus Theodorus Wilhelmus Van Den Hombergh,Cees A. M. J. J. van den Hondel,René T. J. M. van der Heijden,Rachel M. van der Kaaij,Frans M. Klis,Harrie J. Kools,Christian P. Kubicek,Patricia Ann van Kuyk,Jürgen Lauber,Xin Lu,Marc J. E. C. van der Maarel,Rogier Meulenberg,Hildegard Henna Menke,Martin Mortimer,Jens Nielsen,Stephen G. Oliver,Maurien M.A. Olsthoorn,K. Pal,K. Pal,Noël Nicolaas Maria Elisabeth Van Peij,Arthur F. J. Ram,Ursula Rinas,Johannes Andries Roubos,Cornelis Maria Jacobus Sagt,Monika Schmoll,Jibin Sun,David W. Ussery,János Varga,Wouter Vervecken,Peter J.J. Van De Vondervoort,Holger Wedler,Han A. B. Wösten,An-Ping Zeng,Albert J. J. van Ooyen,Jaap Visser,Hein Stam +70 more
TL;DR: The filamentous fungus Aspergillus niger is widely exploited by the fermentation industry for the production of enzymes and organic acids, particularly citric acid, and the sequenced genome revealed a large number of major facilitator superfamily transporters and fungal zinc binuclear cluster transcription factors.
Journal ArticleDOI
Feature-based prediction of non-classical and leaderless protein secretion.
TL;DR: By scanning the entire human proteome, a sequence-based method, SecretomeP, is presented, it is discovered that certain pathway-independent features are shared among secreted proteins.
Journal ArticleDOI
Non-classical protein secretion in bacteria.
TL;DR: Predicting of disorder reveals that bacterial secretory proteins are more structurally disordered than their cytoplasmic counterparts, thus allowing for the identification of novel non-classically secreted proteins.
Journal ArticleDOI
Prediction of twin-arginine signal peptides
Jannick Dyrløv Bendtsen,Henrik Nielsen,David A. Widdick,David A. Widdick,Tracy Palmer,Tracy Palmer,Søren Brunak +6 more
TL;DR: The TatP method is able to discriminate Tat signal peptide from cytoplasmic proteins carrying a similar motif, as well as from Sec signal peptides, with high accuracy and generates far less false positive predictions on various datasets than using simple pattern matching.