Feature-based prediction of non-classical and leaderless protein secretion

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Feature-based prediction of non-classical and leaderless protein secretion. / Bendtsen, Jannick Dyrløv; Jensen, Lars Juhl; Blom, Nikolaj; Von Heijne, Gunnar; Brunak, Søren.

In: Protein Engineering Design and Selection (Print), Vol. 17, No. 4, 2004, p. 349-56.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Bendtsen, JD, Jensen, LJ, Blom, N, Von Heijne, G & Brunak, S 2004, 'Feature-based prediction of non-classical and leaderless protein secretion', Protein Engineering Design and Selection (Print), vol. 17, no. 4, pp. 349-56. https://doi.org/10.1093/protein/gzh037

APA

Bendtsen, J. D., Jensen, L. J., Blom, N., Von Heijne, G., & Brunak, S. (2004). Feature-based prediction of non-classical and leaderless protein secretion. Protein Engineering Design and Selection (Print), 17(4), 349-56. https://doi.org/10.1093/protein/gzh037

Vancouver

Bendtsen JD, Jensen LJ, Blom N, Von Heijne G, Brunak S. Feature-based prediction of non-classical and leaderless protein secretion. Protein Engineering Design and Selection (Print). 2004;17(4):349-56. https://doi.org/10.1093/protein/gzh037

Author

Bendtsen, Jannick Dyrløv ; Jensen, Lars Juhl ; Blom, Nikolaj ; Von Heijne, Gunnar ; Brunak, Søren. / Feature-based prediction of non-classical and leaderless protein secretion. In: Protein Engineering Design and Selection (Print). 2004 ; Vol. 17, No. 4. pp. 349-56.

Bibtex

@article{d0ebd2ef18ec483e95739cf1a153c64b,
title = "Feature-based prediction of non-classical and leaderless protein secretion",
abstract = "We present a sequence-based method, SecretomeP, for the prediction of mammalian secretory proteins targeted to the non-classical secretory pathway, i.e. proteins without an N-terminal signal peptide. So far only a limited number of proteins have been shown experimentally to enter the non-classical secretory pathway. These are mainly fibroblast growth factors, interleukins and galectins found in the extracellular matrix. We have discovered that certain pathway-independent features are shared among secreted proteins. The method presented here is also capable of predicting (signal peptide-containing) secretory proteins where only the mature part of the protein has been annotated or cases where the signal peptide remains uncleaved. By scanning the entire human proteome we identified new proteins potentially undergoing non-classical secretion. Predictions can be made at https://www.cbs.dtu.dk/services/SecretomeP.",
author = "Bendtsen, {Jannick Dyrl{\o}v} and Jensen, {Lars Juhl} and Nikolaj Blom and {Von Heijne}, Gunnar and S{\o}ren Brunak",
year = "2004",
doi = "10.1093/protein/gzh037",
language = "English",
volume = "17",
pages = "349--56",
journal = "Protein Engineering, Design and Selection",
issn = "1741-0126",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Feature-based prediction of non-classical and leaderless protein secretion

AU - Bendtsen, Jannick Dyrløv

AU - Jensen, Lars Juhl

AU - Blom, Nikolaj

AU - Von Heijne, Gunnar

AU - Brunak, Søren

PY - 2004

Y1 - 2004

N2 - We present a sequence-based method, SecretomeP, for the prediction of mammalian secretory proteins targeted to the non-classical secretory pathway, i.e. proteins without an N-terminal signal peptide. So far only a limited number of proteins have been shown experimentally to enter the non-classical secretory pathway. These are mainly fibroblast growth factors, interleukins and galectins found in the extracellular matrix. We have discovered that certain pathway-independent features are shared among secreted proteins. The method presented here is also capable of predicting (signal peptide-containing) secretory proteins where only the mature part of the protein has been annotated or cases where the signal peptide remains uncleaved. By scanning the entire human proteome we identified new proteins potentially undergoing non-classical secretion. Predictions can be made at https://www.cbs.dtu.dk/services/SecretomeP.

AB - We present a sequence-based method, SecretomeP, for the prediction of mammalian secretory proteins targeted to the non-classical secretory pathway, i.e. proteins without an N-terminal signal peptide. So far only a limited number of proteins have been shown experimentally to enter the non-classical secretory pathway. These are mainly fibroblast growth factors, interleukins and galectins found in the extracellular matrix. We have discovered that certain pathway-independent features are shared among secreted proteins. The method presented here is also capable of predicting (signal peptide-containing) secretory proteins where only the mature part of the protein has been annotated or cases where the signal peptide remains uncleaved. By scanning the entire human proteome we identified new proteins potentially undergoing non-classical secretion. Predictions can be made at https://www.cbs.dtu.dk/services/SecretomeP.

U2 - 10.1093/protein/gzh037

DO - 10.1093/protein/gzh037

M3 - Journal article

C2 - 15115854

VL - 17

SP - 349

EP - 356

JO - Protein Engineering, Design and Selection

JF - Protein Engineering, Design and Selection

SN - 1741-0126

IS - 4

ER -

ID: 40740705