<p>Seeing the trees through the Forest: sequence-based homo- and heteromeric protein-protein interaction sites prediction using Random Forest</p>

Qingzhen Hou; Paul De Geest; Wim F. Vranken; Jaap Heringa; K. Anton Feenstra

doi:10.7490/f1000research.1112980.1

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Hou Q, De Geest P, Vranken WF et al. Seeing the trees through the Forest: sequence-based homo- and heteromeric protein-protein interaction sites prediction using Random Forest [version 1; not peer reviewed]. F1000Research 2016, 5:2145 (poster) (https://doi.org/10.7490/f1000research.1112980.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Seeing the trees through the Forest: sequence-based homo- and heteromeric protein-protein interaction sites prediction using Random Forest

Qingzhen Hou¹, Paul De Geest, Wim F. Vranken, Jaap Heringa, K. Anton Feenstra¹

Published 01 Sep 2016 (https://doi.org/10.7490/f1000research.1112980.1)

Author Affiliations

¹ VU University Amsterdam, The Netherlands

Copyright © 2016 Hou Q et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 01 Sep 2016

Seeing the trees through the Forest: sequence-based homo- and heteromeric protein-protein interaction sites prediction using Random Forest
[version 1; not peer reviewed]

Qingzhen Hou¹, Paul De Geest, Wim F. Vranken, Jaap Heringa, K. Anton Feenstra¹

Author Affiliations

¹ VU University Amsterdam, The Netherlands

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Protein-protein interactions, sequence-based interface prediction, Random Forest, backbone flexibility, specificity conservation

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