Research on Protein Structure Prediction Based on Sequence Pattern

DOI

10.2991/jiaet-18.2018.56How to use a DOI?

Keywords

Protein structure prediction; Hydrophobicity; Apriori all algorithm; KMP pattern matching

Abstract

In order to find meaningful data for human beings in a large number of biological information and then reveal the nature of life, this paper focuses on analyzing the characteristics of the hydrophobicity of amino acids and adjacent information, using sequential pattern mining Apriori All algorithm to extract amino acid sequences, using KMP pattern matching query algorithm to predict amino acid sequences, and then obtaining the secondary structure of protein. The prediction results have high reliability.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juanjuan Yin
AU  - Guojian Cheng
AU  - Fenggang Ma
PY  - 2018/03
DA  - 2018/03
TI  - Research on Protein Structure Prediction Based on Sequence Pattern
BT  - Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
PB  - Atlantis Press
SP  - 318
EP  - 322
SN  - 2352-5401
UR  - https://doi.org/10.2991/jiaet-18.2018.56
DO  - 10.2991/jiaet-18.2018.56
ID  - Yin2018/03
ER  -