Optimizing HP Model Using Reinforcement Learning-Reference-Cited by-同舟云学术

Optimizing HP Model Using Reinforcement Learning

Published:2018 Issue: Volume: Page:383-388
ISSN:0302-9743
Container-title:Intelligent Computing Theories and Application
language:
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Author:

Yang Ru,Wu Hongjie,Fu Qiming,Ding Tao,Chen Cheng

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-95933-7_46

Reference6 articles.

1. Yan, S.M., Wu, G.: Detailed folding structures of M-lycotoxin-Hc1a and its mutageneses using 2D HP model. Mol. Simul. 38(10), 809–822 (2012)

2. Pan, J., Wang, X., Cheng, Y., et al.: Multi-source transfer ELM-based Q learning. Neurocomputing 137(11), 57–64 (2014)

3. Mann, M., Backofen, R.: Exact methods for lattice protein models. Bio-Algorithms Med-Syst. 10(4), 213–225 (2014)

4. Tang, X., Wang, J., Zhong, J., et al.: Predicting essential proteins based on weighted degree centrality. IEEE/ACM Trans. Comput. Biol. Bioinform. 11(2), 407–418 (2014)

5. Qin, Y.F., Zheng, X.Q., Wang, J., et al.: Prediction of protein structural class based on linear predictive coding of PSI-BLAST profiles. Open Life Sci. 1, 11–15 (2015)

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