An effective machine learning-based model for the prediction of protein–protein interaction sites in health systems
Author:
Funder
Taif University
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07024-8.pdf
Reference41 articles.
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2. Wei L, Liao M, Gao X, Zou Q (2015) An improved protein structural classes prediction method by incorporating both sequence and structure information. IEEE Trans Nanobiosci 14:339–349
3. Hwang H, Pierce B, Mintseris J, Janin J, Weng Z (2008) Protein–protein docking benchmark version 3.0, Proteins: structure. Funct Bioinf 73:705–709
4. Sharma A, Lyons J, Dehzangi A, Paliwal KK (2013) A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition. J Theor Biol 320:41–46
5. Ghoorah AW, Devignes M-D, Smaïl-Tabbone M, Ritchie DW (2011) Spatial clustering of protein binding sites for template based protein docking. Bioinformatics 27:2820–2827
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