Prediction of protein supersecondary structures based on the artificial neural network method
Author:
Publisher
Oxford University Press (OUP)
Subject
Molecular Biology,Biochemistry,Bioengineering,Biotechnology
Link
http://academic.oup.com/peds/article-pdf/10/7/763/18541990/100763.pdf
Cited by 39 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. Using random forest algorithm to predict super-secondary structure in proteins;The Journal of Supercomputing;2018-08-17
2. Prediction of complex super-secondary structure βαβ motifs based on combined features;Saudi Journal of Biological Sciences;2016-01
3. Identify Beta-Hairpin Motifs with Quadratic Discriminant Algorithm Based on the Chemical Shifts;PLOS ONE;2015-09-30
4. Identify five kinds of simple super-secondary structures with quadratic discriminant algorithm based on the chemical shifts;Journal of Theoretical Biology;2015-09
5. From Ramachandran Maps to Tertiary Structures of Proteins;The Journal of Physical Chemistry B;2015-07-02
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