Prediction of human protein function from post-translational modifications and localization features

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

Standard

Prediction of human protein function from post-translational modifications and localization features. / Jensen, L J; Gupta, Ramneek; Blom, Nikolaj; Devos, D; Tamames, J; Kesmir, Can; Nielsen, H; Staerfeldt, H H; Rapacki, Kristoffer; Workman, Christopher; Andersen, C A F; Knudsen, S; Krogh, A; Valencia, A; Brunak, S.

In: Journal of Molecular Biology, Vol. 319, No. 5, 2002, p. 1257-65.

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

Harvard

Jensen, LJ, Gupta, R, Blom, N, Devos, D, Tamames, J, Kesmir, C, Nielsen, H, Staerfeldt, HH, Rapacki, K, Workman, C, Andersen, CAF, Knudsen, S, Krogh, A, Valencia, A & Brunak, S 2002, 'Prediction of human protein function from post-translational modifications and localization features', Journal of Molecular Biology, vol. 319, no. 5, pp. 1257-65. https://doi.org/10.1016/S0022-2836(02)00379-0

APA

Jensen, L. J., Gupta, R., Blom, N., Devos, D., Tamames, J., Kesmir, C., Nielsen, H., Staerfeldt, H. H., Rapacki, K., Workman, C., Andersen, C. A. F., Knudsen, S., Krogh, A., Valencia, A., & Brunak, S. (2002). Prediction of human protein function from post-translational modifications and localization features. Journal of Molecular Biology, 319(5), 1257-65. https://doi.org/10.1016/S0022-2836(02)00379-0

Vancouver

Jensen LJ, Gupta R, Blom N, Devos D, Tamames J, Kesmir C et al. Prediction of human protein function from post-translational modifications and localization features. Journal of Molecular Biology. 2002;319(5):1257-65. https://doi.org/10.1016/S0022-2836(02)00379-0

Author

Jensen, L J ; Gupta, Ramneek ; Blom, Nikolaj ; Devos, D ; Tamames, J ; Kesmir, Can ; Nielsen, H ; Staerfeldt, H H ; Rapacki, Kristoffer ; Workman, Christopher ; Andersen, C A F ; Knudsen, S ; Krogh, A ; Valencia, A ; Brunak, S. / Prediction of human protein function from post-translational modifications and localization features. In: Journal of Molecular Biology. 2002 ; Vol. 319, No. 5. pp. 1257-65.

Bibtex

@article{92decfa8dfa843cb86d51fd2a9d1c412,

title = "Prediction of human protein function from post-translational modifications and localization features",

abstract = "We have developed an entirely sequence-based method that identifies and integrates relevant features that can be used to assign proteins of unknown function to functional classes, and enzyme categories for enzymes. We show that strategies for the elucidation of protein function may benefit from a number of functional attributes that are more directly related to the linear sequence of amino acids, and hence easier to predict, than protein structure. These attributes include features associated with post-translational modifications and protein sorting, but also much simpler aspects such as the length, isoelectric point and composition of the polypeptide chain.",

author = "Jensen, {L J} and Ramneek Gupta and Nikolaj Blom and D Devos and J Tamames and Can Kesmir and H Nielsen and Staerfeldt, {H H} and Kristoffer Rapacki and Christopher Workman and Andersen, {C A F} and S Knudsen and A Krogh and A Valencia and S Brunak",

year = "2002",

doi = "10.1016/S0022-2836(02)00379-0",

language = "English",

volume = "319",

pages = "1257--65",

journal = "Journal of Molecular Biology",

issn = "0022-2836",

publisher = "Academic Press",

number = "5",

}

RIS

TY - JOUR

T1 - Prediction of human protein function from post-translational modifications and localization features

AU - Jensen, L J

AU - Gupta, Ramneek

AU - Blom, Nikolaj

AU - Devos, D

AU - Tamames, J

AU - Kesmir, Can

AU - Nielsen, H

AU - Staerfeldt, H H

AU - Rapacki, Kristoffer

AU - Workman, Christopher

AU - Andersen, C A F

AU - Knudsen, S

AU - Krogh, A

AU - Valencia, A

AU - Brunak, S

PY - 2002

Y1 - 2002

N2 - We have developed an entirely sequence-based method that identifies and integrates relevant features that can be used to assign proteins of unknown function to functional classes, and enzyme categories for enzymes. We show that strategies for the elucidation of protein function may benefit from a number of functional attributes that are more directly related to the linear sequence of amino acids, and hence easier to predict, than protein structure. These attributes include features associated with post-translational modifications and protein sorting, but also much simpler aspects such as the length, isoelectric point and composition of the polypeptide chain.

AB - We have developed an entirely sequence-based method that identifies and integrates relevant features that can be used to assign proteins of unknown function to functional classes, and enzyme categories for enzymes. We show that strategies for the elucidation of protein function may benefit from a number of functional attributes that are more directly related to the linear sequence of amino acids, and hence easier to predict, than protein structure. These attributes include features associated with post-translational modifications and protein sorting, but also much simpler aspects such as the length, isoelectric point and composition of the polypeptide chain.

U2 - 10.1016/S0022-2836(02)00379-0

DO - 10.1016/S0022-2836(02)00379-0

M3 - Journal article

C2 - 12079362

VL - 319

SP - 1257

EP - 1265

JO - Journal of Molecular Biology

JF - Journal of Molecular Biology

SN - 0022-2836

IS - 5

ER -

ID: 40749858