On the Encoding of Proteins for Disordered Regions Prediction
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Abstract
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DOI: 10.1371/journal.pone.0082252
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References listed on IDEAS
- Julien Becker & Francis Maes & Louis Wehenkel, 2013. "On the Relevance of Sophisticated Structural Annotations for Disulfide Connectivity Pattern Prediction," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-14, February.
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Cited by:
- Zhiheng Wang & Qianqian Yang & Tonghua Li & Peisheng Cong, 2015. "DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
- Pahalage Dhanushka Sandaruwan & Champi Thusangi Wannige, 2021. "An improved deep learning model for hierarchical classification of protein families," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-15, October.
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