Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-32511-1.pdf
Reference71 articles.
1. Wei, L., Zou, Q., Liao, M., Lu, H. & Zhao, Y. A novel machine learning method for cytokine-receptor interaction prediction. Comb. chemistry & high throughput screening 19, 144–152 (2016).
2. Zeng, J., Li, D., Wu, Y., Zou, Q. & Liu, X. An empirical study of features fusion techniques for protein-protein interaction prediction. Curr. Bioinforma. 11, 4–12 (2016).
3. Clackson, T. & Wells, J. A. A hot spot of binding energy in a hormone-receptor interface. Sci. 267, 383–386 (1995).
4. Thorn, K. S. & Bogan, A. A. Asedb: a database of alanine mutations and their effects on the free energy of binding in protein interactions. Bioinforma. 17, 284–285 (2001).
5. Fischer, T. et al. The binding interface database (bid): a compilation of amino acid hot spots in protein interfaces. Bioinforma. 19, 1453–1454 (2003).
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