SENSDeep: An Ensemble Deep Learning Method for Protein–Protein Interaction Sites Prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology
Link
https://link.springer.com/content/pdf/10.1007/s12539-022-00543-x.pdf
Reference62 articles.
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2. Zhou HX, Shan Y (2001) Prediction of protein interaction sites from sequence profile and residue neighbor list. Proteins Struct Funct Genet 44(3):336–343. https://doi.org/10.1002/prot.1099
3. Pazos F, Bang J-W (2008) Computational prediction of functionally important regions in proteins. Curr Bioinform 1(1):15–23. https://doi.org/10.2174/157489306775330633
4. Aumentado-Armstrong TT, Istrate B, Murgita RA (2015) Algorithmic approaches to protein–protein interaction site prediction. Algorithms Mol Biol 10(1):1–21. https://doi.org/10.1186/s13015-015-0033-9
5. Snider J, Kotlyar M, Saraon P, Yao Z, Jurisica I, Stagljar I (2015) Fundamentals of protein interaction network mapping. Mol Syst Biol 11(12):848. https://doi.org/10.15252/msb.20156351
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