A Novel Method to Predict Protein-Protein Interactions Based on the Information of Protein-Protein Interaction Networks and Protein Sequence-Reference-Cited by-同舟云学术

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A Novel Method to Predict Protein-Protein Interactions Based on the Information of Protein-Protein Interaction Networks and Protein Sequence

Published:2011-09-01 Issue:9 Volume:18 Page:906-911
ISSN:0929-8665
Container-title:Protein & Peptide Letters
language:en
Short-container-title:PPL

Author:

Guo Yan-Zhi,Li Yi-Zhou,Zhang Yong-Qing,Diao Yuan-Bo,Ma Dai-Chuan,Wu Jiang,Li Meng-Long

Publisher

Bentham Science Publishers Ltd.

Subject

Biochemistry,General Medicine,Structural Biology

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ESMDNN-PPI: a new protein–protein interaction prediction model developed with protein language model of ESM2 and deep neural network;Measurement Science and Technology;2024-09-11

2. In-silico prediction and validation of Carica papaya protein domains interaction with the Papaya leaf curl virus and associated betasatellite encoded protein;Discover Applied Sciences;2024-05-22

3. An Efficient Computational Model for Large-Scale Prediction of Protein–Protein Interactions Based on Accurate and Scalable Graph Embedding;Frontiers in Genetics;2021-02-26

4. βC1, pathogenicity determinant encoded by Cotton leaf curl Multan betasatellite, interacts with calmodulin-like protein 11 (Gh-CML11) in Gossypium hirsutum;PLOS ONE;2019-12-03

5. In silico Prediction and Validations of Domains Involved in Gossypium hirsutum SnRK1 Protein Interaction With Cotton Leaf Curl Multan Betasatellite Encoded βC1;Frontiers in Plant Science;2019-05-28

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