ArticleOncotarget2017
CIPPN: computational identification of protein pupylation sites by using neural network.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Automatic classification of nerve discharge rhythms based on sparse auto-encoder and time series feature.BMC bioinformatics · 2022Article
- PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids.Genes · 2020Article
- Predicting subcellular localization of multisite proteins using differently weighted multi-label k-nearest neighbors sets.Technology and health care : official journal of the European Society for Engineering and Medicine · 2019Article
- LAIPT: Lysine Acetylation Site Identification with Polynomial Tree.International journal of molecular sciences · 2018Article
- HSCVFNT: Inference of Time-Delayed Gene Regulatory Network Based on Complex-Valued Flexible Neural Tree Model.International journal of molecular sciences · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Recently, experiments revealed the pupylation to be a signal for the selective regulation of proteins in several serious human diseases. As one of the most significant post translational modification in the field of biology and disease, pupylation has the ability to playing the key role in the regulation various diseases' biological processes. Meanwhile, effectively identification such type modification will be helpful for proteins to perform their biological functions and contribute to understanding the molecular mechanism, which is the foundation of drug design. The existing algorithms of identification such types of modified sites often have some defects, such as low accuracy and time-consuming. In this research, the pupylation sites' identification model, CIPPN, demonstrates better performance than other existing approaches in this field. The proposed predictor achieves
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Registered trials
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