DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions-Reference-Cited by-同舟云学术

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DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions

Published:2019-05-27 Issue:12 Volume:19 Page:1900019
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Zhang Fuhao¹,Song Hong¹,Zeng Min¹,Li Yaohang¹²,Kurgan Lukasz³^ORCID,Li Min¹

Affiliation:

1. School of Computer Science and EngineeringCentral South University Changsha 410083 P. R. China

2. Department of Computer ScienceOld Dominion University Norfolk VA 23529 USA

3. Department of Computer ScienceVirginia Commonwealth University Richmond VA 23284 USA

Funder

Hunan Provincial Science and Technology Department

National Natural Science Foundation of China

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pmic.201900019

Reference70 articles.

1. Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information

2. Dynamics of domain coverage of the protein sequence universe

3. E. Boutet D. Lieberherr M. Tognolli M. Schneider P. Bansal A. J. Bridge S. Poux L. Bougueleret I. Xenarios Plant Bioinformatics 2016 Springer New York 23

4. A global genetic interaction network maps a wiring diagram of cellular function

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