Protein disorder prediction: implications for structural proteomics

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Protein disorder prediction : implications for structural proteomics. / Linding, Rune; Jensen, Lars Juhl; Diella, Francesca; Bork, Peer; Gibson, Toby J; Russell, Robert B.

In: Structure, Vol. 11, No. 11, 2003, p. 1453-9.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Linding, R, Jensen, LJ, Diella, F, Bork, P, Gibson, TJ & Russell, RB 2003, 'Protein disorder prediction: implications for structural proteomics', Structure, vol. 11, no. 11, pp. 1453-9.

APA

Linding, R., Jensen, L. J., Diella, F., Bork, P., Gibson, T. J., & Russell, R. B. (2003). Protein disorder prediction: implications for structural proteomics. Structure, 11(11), 1453-9.

Vancouver

Linding R, Jensen LJ, Diella F, Bork P, Gibson TJ, Russell RB. Protein disorder prediction: implications for structural proteomics. Structure. 2003;11(11):1453-9.

Author

Linding, Rune ; Jensen, Lars Juhl ; Diella, Francesca ; Bork, Peer ; Gibson, Toby J ; Russell, Robert B. / Protein disorder prediction : implications for structural proteomics. In: Structure. 2003 ; Vol. 11, No. 11. pp. 1453-9.

Bibtex

@article{ed82293f71b442129a0588cdb3ef8dd4,
title = "Protein disorder prediction: implications for structural proteomics",
abstract = "A great challenge in the proteomics and structural genomics era is to predict protein structure and function, including identification of those proteins that are partially or wholly unstructured. Disordered regions in proteins often contain short linear peptide motifs (e.g., SH3 ligands and targeting signals) that are important for protein function. We present here DisEMBL, a computational tool for prediction of disordered/unstructured regions within a protein sequence. As no clear definition of disorder exists, we have developed parameters based on several alternative definitions and introduced a new one based on the concept of {"}hot loops,{"} i.e., coils with high temperature factors. Avoiding potentially disordered segments in protein expression constructs can increase expression, foldability, and stability of the expressed protein. DisEMBL is thus useful for target selection and the design of constructs as needed for many biochemical studies, particularly structural biology and structural genomics projects. The tool is freely available via a web interface (http://dis.embl.de) and can be downloaded for use in large-scale studies.",
author = "Rune Linding and Jensen, {Lars Juhl} and Francesca Diella and Peer Bork and Gibson, {Toby J} and Russell, {Robert B}",
year = "2003",
language = "English",
volume = "11",
pages = "1453--9",
journal = "Structure",
issn = "0969-2126",
publisher = "Cell Press",
number = "11",

}

RIS

TY - JOUR

T1 - Protein disorder prediction

T2 - implications for structural proteomics

AU - Linding, Rune

AU - Jensen, Lars Juhl

AU - Diella, Francesca

AU - Bork, Peer

AU - Gibson, Toby J

AU - Russell, Robert B

PY - 2003

Y1 - 2003

N2 - A great challenge in the proteomics and structural genomics era is to predict protein structure and function, including identification of those proteins that are partially or wholly unstructured. Disordered regions in proteins often contain short linear peptide motifs (e.g., SH3 ligands and targeting signals) that are important for protein function. We present here DisEMBL, a computational tool for prediction of disordered/unstructured regions within a protein sequence. As no clear definition of disorder exists, we have developed parameters based on several alternative definitions and introduced a new one based on the concept of "hot loops," i.e., coils with high temperature factors. Avoiding potentially disordered segments in protein expression constructs can increase expression, foldability, and stability of the expressed protein. DisEMBL is thus useful for target selection and the design of constructs as needed for many biochemical studies, particularly structural biology and structural genomics projects. The tool is freely available via a web interface (http://dis.embl.de) and can be downloaded for use in large-scale studies.

AB - A great challenge in the proteomics and structural genomics era is to predict protein structure and function, including identification of those proteins that are partially or wholly unstructured. Disordered regions in proteins often contain short linear peptide motifs (e.g., SH3 ligands and targeting signals) that are important for protein function. We present here DisEMBL, a computational tool for prediction of disordered/unstructured regions within a protein sequence. As no clear definition of disorder exists, we have developed parameters based on several alternative definitions and introduced a new one based on the concept of "hot loops," i.e., coils with high temperature factors. Avoiding potentially disordered segments in protein expression constructs can increase expression, foldability, and stability of the expressed protein. DisEMBL is thus useful for target selection and the design of constructs as needed for many biochemical studies, particularly structural biology and structural genomics projects. The tool is freely available via a web interface (http://dis.embl.de) and can be downloaded for use in large-scale studies.

M3 - Journal article

C2 - 14604535

VL - 11

SP - 1453

EP - 1459

JO - Structure

JF - Structure

SN - 0969-2126

IS - 11

ER -

ID: 40740729