ROSE: A Novel Approach for Protein Secondary Structure Prediction-Reference-Cited by-同舟云学术

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ROSE: A Novel Approach for Protein Secondary Structure Prediction

Published:2021 Issue: Volume: Page:455-464
ISSN:2367-4512
Container-title:Trends in Data Engineering Methods for Intelligent Systems
language:
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Author:

Görmez Yasin,Aydın Zafer

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-79357-9_45

Reference27 articles.

1. Pollastri, G., McLysaght, A.: Porter: a new, accurate server for protein secondary structure prediction. Bioinformatics 21(8), 1719–1720 (2005)

2. Jones, D.T.: Protein secondary structure prediction based on position-specific scoring matrices. J. Mol. Biol. 292(2), 195–202 (1999)

3. Aydin, Z., Singh, A., Bilmes, J., Noble, W.S.: Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure. BMC Bioinform. 12, 154 (2011)

4. Yao, X.-Q., Zhu, H., She, Z.-S.: A dynamic Bayesian network approach to protein secondary structure prediction. BMC Bioinform. 9, 49 (2008)

5. Martin, J., Gibrat, J.-F., Rodolphe, F.: Analysis of an optimal hidden Markov model for secondary structure prediction. BMC Struct. Biol. 6, 25 (2006)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Ensemble Classifier for Protein Secondary Structure Prediction;2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON);2023-08-05

2. Deep learning for protein secondary structure prediction: Pre and post-AlphaFold;Computational and Structural Biotechnology Journal;2022

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