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- Publications
- Influence
SignalP 4.0: discriminating signal peptides from transmembrane regions
- T. N. Petersen, S. Brunak, G. Heijne, H. Nielsen
- Chemistry, Medicine
- Nature Methods
- 1 October 2011
We benchmarked SignalP 4.0 against SignalP 3.0 and ten other signal peptide prediction algorithms (Fig. 1). We compared prediction performance using the Matthews correlation coefficient16, for which… Expand
Improved prediction of signal peptides: SignalP 3.0.
- J. D. Bendtsen, H. Nielsen, G. von Heijne, S. Brunak
- Biology, Medicine
- Journal of molecular biology
- 16 July 2004
We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP consists of two different predictors based on neural network and hidden… Expand
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.
- O. Emanuelsson, H. Nielsen, S. Brunak, G. von Heijne
- Biology, Medicine
- Journal of molecular biology
- 21 July 2000
A neural network-based tool, TargetP, for large-scale subcellular location prediction of newly identified proteins has been developed. Using N-terminal sequence information only, it discriminates… Expand
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
- H. Nielsen, J. Engelbrecht, S. Brunak, G. von Heijne
- Chemistry, Biology
- Protein engineering
- 1997
We have developed a new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence. The method… Expand
Sequence and structure-based prediction of eukaryotic protein phosphorylation sites.
- N. Blom, S. Gammeltoft, S. Brunak
- Biology, Medicine
- Journal of molecular biology
- 17 December 1999
Protein phosphorylation at serine, threonine or tyrosine residues affects a multitude of cellular signaling processes. How is specificity in substrate recognition and phosphorylation by protein… Expand
Locating proteins in the cell using TargetP, SignalP and related tools
- Olof Emanuelsson, S. Brunak, G. Heijne, H. Nielsen
- Biology, Medicine
- Nature Protocols
- 1 April 2007
Determining the subcellular localization of a protein is an important first step toward understanding its function. Here, we describe the properties of three well-known N-terminal sequence motifs… Expand
A human gut microbial gene catalogue established by metagenomic sequencing
To understand the impact of gut microbes on human health and well-being it is crucial to assess their genetic potential. Here we describe the Illumina-based metagenomic sequencing, assembly and… Expand
Prediction of post‐translational glycosylation and phosphorylation of proteins from the amino acid sequence
- N. Blom, T. Sicheritz-Pontén, R. Gupta, S. Gammeltoft, S. Brunak
- Biology, Medicine
- Proteomics
- 1 June 2004
Post‐translational modifications (PTMs) occur on almost all proteins analyzed to date. The function of a modified protein is often strongly affected by these modifications and therefore increased… Expand
Assessing the accuracy of prediction algorithms for classification: an overview
- P. Baldi, S. Brunak, Y. Chauvin, C. A. Andersen, H. Nielsen
- Mathematics, Computer Science
- Bioinform.
- 1 May 2000
TLDR
Enterotypes of the human gut microbiome
- M. Arumugam, J. Raes, +39 authors P. Bork
- Biology, Medicine
- Nature
- 12 May 2011
Our knowledge of species and functional composition of the human gut microbiome is rapidly increasing, but it is still based on very few cohorts and little is known about variation across the world.… Expand