Context-Based Features Enhance Protein Secondary Structure Prediction Accuracy
Author:
Affiliation:
1. Department of Computer Science, Old Dominion University, Norfolk, Virginia 23529, United States
Funder
National Science Foundation
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci400647u
Reference38 articles.
1. Assessment of novel fold targets in CASP4: Predictions of three-dimensional structures, secondary structures, and interresidue contacts
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4. Review: Protein Secondary Structure Prediction Continues to Rise
5. Predicting the secondary structure of globular proteins using neural network models
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