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Int. J. Mol. Sci. 2018, 19(2), 536; https://doi.org/10.3390/ijms19020536

Special Protein Molecules Computational Identification

School of Computer Science and Technology, Tianjin University, Tianjin 300354, China
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Received: 16 January 2018 / Revised: 2 February 2018 / Accepted: 10 February 2018 / Published: 10 February 2018
(This article belongs to the Special Issue Special Protein Molecules Computational Identification)
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Abstract

Computational identification of special protein molecules is a key issue in understanding protein function. It can guide molecular experiments and help to save costs. I assessed 18 papers published in the special issue of Int. J. Mol. Sci., and also discussed the related works. The computational methods employed in this special issue focused on machine learning, network analysis, and molecular docking. New methods and new topics were also proposed. There were in addition several wet experiments, with proven results showing promise. I hope our special issue will help in protein molecules identification researches. View Full-Text
Keywords: bioinformatics; machine learning; feature selection; protein classification; network analysis; molecular docking bioinformatics; machine learning; feature selection; protein classification; network analysis; molecular docking
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Zou, Q.; He, W. Special Protein Molecules Computational Identification. Int. J. Mol. Sci. 2018, 19, 536.

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