DeepPSP: A Global–Local Information-Based Deep Neural Network for the Prediction of Protein Phosphorylation Sites-Reference-Cited by-同舟云学术

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DeepPSP: A Global–Local Information-Based Deep Neural Network for the Prediction of Protein Phosphorylation Sites

Published:2020-11-26 Issue:1 Volume:20 Page:346-356
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Guo Lei¹,Wang Yongpei¹,Xu Xiangnan²,Cheng Kian-Kai³,Long Yichi¹,Xu Jingjing¹,Li Sanshu⁴,Dong Jiyang¹^ORCID

Affiliation:

1. Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China

2. School of Mathematics and Statistics, The University of Sydney, Sydeny, New South Wales 2006, Australia

3. Innovation Centre in Agritechnology, Universiti Teknologi Malaysia, Muar, Johor 84600, Malaysia

4. Institute of Genomics, Medical School, Huaqiao University, Xiamen 361021, China

Funder

Universiti Teknologi Malaysia

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.0c00431

Reference46 articles.

1. Proteome-wide post-translational modification statistics: frequency analysis and curation of the swiss-prot database

2. Computational prediction of eukaryotic phosphorylation sites

3. Overview of Protein Phosphorylation

4. The role of protein phosphorylation in human health and disease.

5. Posttranslational Modification of Proteins: Expanding Nature's Inventory. By Christopher T. Walsh. Englewood (Colorado): Roberts and Company Publishers. $99.00. xxi + 490 p.; ill.; index. 0‐9747077‐3‐2. 2006.

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2. Computational prediction of phosphorylation sites of SARS-CoV-2 infection using feature fusion and optimization strategies;Methods;2024-09

3. CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon-Aware Embeddings with Amino Acid-Aware Embeddings and Wavelet-based Kolmogorov–Arnold Network;2024-07-30

4. PTransIPs: Identification of Phosphorylation Sites Enhanced by Protein PLM Embeddings;IEEE Journal of Biomedical and Health Informatics;2024-06

5. Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network;Interdisciplinary Sciences: Computational Life Sciences;2024-03-08

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