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Protein-Protein Interactions

• Authors : Kangueane, Pandjassarame

Subjects: Protein-protein interactionsSCIENCE / Life Sciences / Biochemistry

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Reactive Oxygen Species Mechanisms that Regulate Protein–Protein Interactions in Cancer.

• Authors : Iliadis, Stavros¹ (AUTHOR) ; Papanikolaou, Nikolaos A.¹ (AUTHOR)

Subjects: *REACTIVE oxygen species; *CELL anatomy; *PROTEIN-protein interactions

• Source: International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9255. 17p.

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Integrating computational techniques for enhanced understanding of protein-protein interactions and the human interactome

• Authors : Bota, Patricia Mirela; University/Department: Universitat Pompeu Fabra. Departament de Medicina i Ciències de la Vida; ...

Subjects: Protein-protein interactions; Interactomics; Comparative modeling

• Source: TDX (Tesis Doctorals en Xarxa)

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GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs.

• Authors : Zeng, Xin¹ (AUTHOR); Meng, Fan-Fang¹ (AUTHOR); Wen, Meng-Liang² (AUTHOR)

• Source: BMC Genomics. 5/9/2024, Vol. 25 Issue 1, p1-13. 13p.

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A Multivalent DNA Nanoparticle/Peptide Hybrid Molecular Modality for the Modulation of Protein–Protein Interactions in the Tumor Microenvironment.

• Authors : Roman, Jessica A.¹ (AUTHOR) ; Girgis, Michael Y.² (AUTHOR); Prisby, Rocìo S.¹ (AUTHOR)

• Source: Advanced Nanobiomed Research. Jul2024, Vol. 4 Issue 7, p1-11. 11p.

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Optimization of a deep mutational scanning workflow to improve quantification of mutation effects on protein–protein interactions.

• Authors : Bendel, Alexandra M^1,2 (AUTHOR); Skendo, Kristjana³ (AUTHOR); Klein, Dominique¹ (AUTHOR)

• Source: BMC Genomics. 6/24/2024, Vol. 25 Issue 1, p1-16. 16p.

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DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning.

• Authors : Zhou, Yunzhuo^1,2 (AUTHOR); Myung, YooChan^1,2 (AUTHOR); Rodrigues, Carlos H M¹ (AUTHOR)

Subjects: *DEEP learning; *PROTEIN-protein interactions; *LANGUAGE models

• Source: Nucleic Acids Research. 7/5/2024, Vol. 52 Issue W1, pW207-W214. 8p.

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Prediction of Protein–Protein Interactions Based on Integrating Deep Learning and Feature Fusion †.

• Authors : Tran, Hoai-Nhan¹ (AUTHOR) ; Nguyen, Phuc-Xuan-Quynh¹ (AUTHOR); Guo, Fei¹ (AUTHOR)

Subjects: *PROTEIN-protein interactions; *DEEP learning; *AMINO acid sequence

• Source: International Journal of Molecular Sciences. Jun2024, Vol. 25 Issue 11, p5820. 20p.

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Systematic identification of structure-specific protein–protein interactions.

• Authors : Holfeld, Aleš¹ (AUTHOR); Schuster, Dina^1,2,3 (AUTHOR); Sesterhenn, Fabian¹ (AUTHOR)

• Source: Molecular Systems Biology. Jun2024, Vol. 20 Issue 6, p651-675. 25p.

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Role of PSMD5 Protein–Protein Interactions in Proteasome Assembly and Cancer.

• Authors : Panda, Ashish Kumar^1,2 (AUTHOR); Venkatraman, Prasanna^1,2 (AUTHOR)

• Source: Indian Journal of Medical & Paediatric Oncology. 2024 Supplement 1, Vol. 45, pS1-S16. 16p.

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