Transactions on NanoBioscience

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PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only
Many recent efforts have been made for the development of machine learning based methods for fast and accurate phosphorylation site prediction. Currently, a majority of well-performing methods are based on hybrid information to build prediction models, such as evolutionary information,... Read more
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TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
As one of the most ubiquitous post-transcriptional modifications of RNA, N6-methyladenosine ( m 6 A  ) plays an essential role in many vital biological processes. The identification of m 6 A  sites in RNAs is significantly important for both basic biomedical research and practical... Read more
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Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning
DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. With the rapid development of next generation of sequencing technique, the number of protein sequences is unprecedentedly increasing. Thus it... Read more