From evidence to inference: Probing the evolution of protein interaction networks

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From evidence to inference : Probing the evolution of protein interaction networks. / Ratmann, Oliver; Wiuf, Carsten; Pinney, John W.

In: HFSP Journal, Vol. 3, No. 5, 01.10.2009, p. 290-306.

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

Harvard

Ratmann, O, Wiuf, C & Pinney, JW 2009, 'From evidence to inference: Probing the evolution of protein interaction networks', HFSP Journal, vol. 3, no. 5, pp. 290-306. https://doi.org/10.2976/1.3167215

APA

Ratmann, O., Wiuf, C., & Pinney, J. W. (2009). From evidence to inference: Probing the evolution of protein interaction networks. HFSP Journal, 3(5), 290-306. https://doi.org/10.2976/1.3167215

Vancouver

Ratmann O, Wiuf C, Pinney JW. From evidence to inference: Probing the evolution of protein interaction networks. HFSP Journal. 2009 Oct 1;3(5):290-306. https://doi.org/10.2976/1.3167215

Author

Ratmann, Oliver ; Wiuf, Carsten ; Pinney, John W. / From evidence to inference : Probing the evolution of protein interaction networks. In: HFSP Journal. 2009 ; Vol. 3, No. 5. pp. 290-306.

Bibtex

@article{cb9e8b1dedd3423e8e2b792905682974,
title = "From evidence to inference: Probing the evolution of protein interaction networks",
abstract = "The evolutionary mechanisms by which protein interaction networks grow and change are beginning to be appreciated as a major factor shaping their present-day structures and properties. Starting with a consideration of the biases and errors inherent in our current views of these networks, we discuss the dangers of constructing evolutionary arguments from na{\"i}ve analyses of network topology. We argue that progress in understanding the processes of network evolution is only possible when hypotheses are formulated as plausible evolutionary models and compared against the observed data within the framework of probabilistic modeling. The value of such models is expected to be greatly enhanced as they incorporate more of the details of the biophysical properties of interacting proteins, gene phylogeny, and measurement error and as more advanced methodologies emerge for model comparison and the inference of ancestral network states.",
author = "Oliver Ratmann and Carsten Wiuf and Pinney, {John W.}",
year = "2009",
month = oct,
day = "1",
doi = "10.2976/1.3167215",
language = "English",
volume = "3",
pages = "290--306",
journal = "HFSP Journal",
issn = "2155-3769",
publisher = "Taylor & Francis",
number = "5",

}

RIS

TY - JOUR

T1 - From evidence to inference

T2 - Probing the evolution of protein interaction networks

AU - Ratmann, Oliver

AU - Wiuf, Carsten

AU - Pinney, John W.

PY - 2009/10/1

Y1 - 2009/10/1

N2 - The evolutionary mechanisms by which protein interaction networks grow and change are beginning to be appreciated as a major factor shaping their present-day structures and properties. Starting with a consideration of the biases and errors inherent in our current views of these networks, we discuss the dangers of constructing evolutionary arguments from naïve analyses of network topology. We argue that progress in understanding the processes of network evolution is only possible when hypotheses are formulated as plausible evolutionary models and compared against the observed data within the framework of probabilistic modeling. The value of such models is expected to be greatly enhanced as they incorporate more of the details of the biophysical properties of interacting proteins, gene phylogeny, and measurement error and as more advanced methodologies emerge for model comparison and the inference of ancestral network states.

AB - The evolutionary mechanisms by which protein interaction networks grow and change are beginning to be appreciated as a major factor shaping their present-day structures and properties. Starting with a consideration of the biases and errors inherent in our current views of these networks, we discuss the dangers of constructing evolutionary arguments from naïve analyses of network topology. We argue that progress in understanding the processes of network evolution is only possible when hypotheses are formulated as plausible evolutionary models and compared against the observed data within the framework of probabilistic modeling. The value of such models is expected to be greatly enhanced as they incorporate more of the details of the biophysical properties of interacting proteins, gene phylogeny, and measurement error and as more advanced methodologies emerge for model comparison and the inference of ancestral network states.

UR - http://www.scopus.com/inward/record.url?scp=77649095212&partnerID=8YFLogxK

U2 - 10.2976/1.3167215

DO - 10.2976/1.3167215

M3 - Journal article

AN - SCOPUS:77649095212

VL - 3

SP - 290

EP - 306

JO - HFSP Journal

JF - HFSP Journal

SN - 2155-3769

IS - 5

ER -

ID: 203905946