@inproceedings{ca649131a020472f950fded28f53ded2,
title = "A novel algorithm for classifying protein structure familiar by using the graph mining approach",
abstract = "Protein structural classification is critical in bioinformatics. In this study, a simple and connected graph was used to represent a 3D protein structure in which each node represented an amino acid and each edge represented a contact distance between two amino acids. The B-factor (atomic displacement parameters) was then used to substantially reduce the number of nodes and edges in each graph representation. A graph mining approach was applied to determine the critical subgraphs among these graphs, which can be applied to classify protein structural families. An experimental study was conducted in which characteristic substructural patterns were identified in several protein families in the SCOP database.",
author = "Hsieh, \{Sun Yuan\} and Lee, \{Chia Wei\} and Yang, \{Zong Ying\} and Wang, \{Heng Wei\} and Yu, \{Jun Han\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Conference on Intelligent Computing, ICIC 2015 ; Conference date: 20-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.1007/978-3-319-22180-9\_72",
language = "English",
isbn = "9783319221793",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "723--729",
editor = "Vitoantonio Bevilacqua and De-Shuang Huang and Prashan Premaratne",
booktitle = "Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings",
address = "Germany",
}